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Start with what fits you: Fabric | Power BI | SQL | AI | Beginner / New You are looking for: Certification Prep | Data Engineering Deep Dives | Data Visualization | Community Browse by Language: Spanish | Português | French | Japanese / 日本語 | Hindi Fabric User DP 700- Microsoft Fabric Training | Episode 1: Fabric Overview, Domains, Workspaces & OneLake Date: June 14, 6:30 PM Host: Amit Chandak Managing secure access, trusted discovery & data sharing with OneLake (3 sessions) Date: June 16, 9:00 AM Host: Josh Ndemenge Tenant management with Sempy Date: June 16, 11:00 AM Host: Taylor Amy, Teemu Multanen Get Certified: (DP-700) Fabric Data Engineer Essentials (APAC) Date: June 16, 3pm Host: Mike Fortman, Martin Catherall Get Certified: (DP-700) Fabric Data Engineer Essentials (US/EMEA) Date: June 16, 3pm Host: Aleksi Partanen, Phillip Burton Get Certified: (DP-600) Fabric Analytics Engineer Essentials (APAC) Date: June 17, 8am Host: Heidi Hasting, Martin Catherall Get Certified: (DP-600) Fabric Analytics Engineer Essentials (US/EMEA) Date: June 17, 3pm Host: Ásgeir Gunnarsson, Rajendra Ongole DP 700- Microsoft Fabric Training | Episode 4: Dataflow Gen2 End-to-End Date: June 17, 6:30 PM Host: Amit Chandak Orchestrating Fabric Spark and Best Practices for Production-Ready Workload Date: June 18, 8am Host: Santhosh Kumar Ravindran; Ashit Gosalia Security and Governance in Fabric Date: June 20, 09:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Fabric Data Pipelines Full Course For Beginners (Data Days Edition 2026) Date: June 21, 05:30 AM Host: Ansh Lamba Data Ingestion and Discovery in Fabric Date: June 21, 09:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) DP 700- Microsoft Fabric Training | Episode 6: Data Pipelines, Scheduling & OneLake Shortcuts Date: June 21, 6:30 PM Host: Amit Chandak Prepare for the Microsoft Data Days Date: June 22, 5 am Host: Aman Jindal DP 700- Microsoft Fabric Training | Episode 7: Real-Time Analytics, Eventstream, Eventhouse & KQL Date: June 22, 6:30 PM Host: Amit Chandak Location Intelligence with Maps and GeoAnalytics in Microsoft Fabric Date: June 23, 07:30 AM Host: Philippa Burgess Microsoft Cloud & AI Frontier Week: Unify Your Data with OneLake for Analytics, AI and Agents Date: June 24, 01:00 AM Host: Sevgi Guzzella Microsoft Cloud & AI Frontier Week: Turn Data into Intelligent Action with Microsoft Fabric Date: June 24, 02:00 AM Host: Simon Lidberg The Future of AI in Microsoft Fabric: Data Agents and Beyond Date: June 24, 08:00 AM Host: Brian Bønk, Philippa Burgess DP 700- Microsoft Fabric Training | Episode 9: Mirroring, Databases, Composite Models & Data Agents Date: June 24, 6:30 PM Host: Amit Chandak Global Fabric Day 2026 Date: June 27 Host: Kim Manis Global Fabric Day 2026: Security, Location & Intelligence in Microsoft Fabric Date: June 27, 09:30 AM Host: Philippa Burgess Transforming and Modeling Data in Fabric Date: June 27, 09:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Modeling Real LMS Data in Power BI: Star Schema from a Messy MySQL Source Date: June 28, 06:30 AM Host: Parul Rani Sagar Configuring Workspace Settings in Fabric Date: June 28, 09:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Learn KQL in 10 minutes Date: June 29 Host: Phillip Burton Get to Know Esri: From Living Atlas to Spatial Analysis for Fabric Users Date: June 30, 07:30 AM Host: Philippa Burgess Orchestrating Pipelines, and Notebooks in Fabric Date: July 4, 09:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Designing Data Load Strategies in Fabric Date: July 5, 09:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Data and AI Security and Governance in Microsoft Fabric Date: July 7, 07:30 AM Host: Philippa Burgess Inside Fabric Runtime 2.0: Spark 4 and Delta 4 in Action Date: July 15, 4:00 PM Host: Arshad Ali and Miles Cole Fabric IQ for Data Professionals Date: July 21, 07:30 AM Host: Philippa Burgess Building Scalable Bronze Layer in Microsoft Fabric Date: July 23, 09:00 AM Host: Aleksi Partanen, Teemu Multanen Win in the Seams 🧵 Stitching Together Data and Security with Microsoft Fabric, KQL, and Data Logs Date: July 25, 09:30 AM Host: Philippa Burgess KQL for Data and Security Professionals Date: July 28, 07:30 AM Host: Philippa Burgess Fabric Analytics Engineer Certification Training (DP-600) Discover resources to prepare for this exam. Fabric Data Engineer Certification Training (DP-700) Discover resources to prepare for this exam. Get started with Microsoft Fabric Self-paced training DP 700- Microsoft Fabric Training | Episode 1: Fabric Overview, Domains, Workspaces & OneLake Date: June 14, 6:30 PM Host: Amit Chandak Managing secure access, trusted discovery & data sharing with OneLake (3 sessions) Date: June 16, 9:00 AM Host: Josh Ndemenge DP 700- Microsoft Fabric Training | Episode 4: Dataflow Gen2 End-to-End Date: June 17, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 6: Data Pipelines, Scheduling & OneLake Shortcuts Date: June 21, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 7: Real-Time Analytics, Eventstream, Eventhouse & KQL Date: June 22, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 9: Mirroring, Databases, Composite Models & Data Agents Date: June 24, 6:30 PM Host: Amit Chandak Inside Fabric Runtime 2.0: Spark 4 and Delta 4 in Action Date: July 15, 4:00 PM Host: Arshad Ali and Miles Cole Back to top Power BI Using Slicers and What-If Parameters in Power BI Date: June 15, 6:00 AM Host: Ilgar Zarbaliyev Power BI Dataviz World Championships: Start Your Journey to Barcelona Date: June 16, 8am Host: Valerie Junk, Lakshmi Ponnurasan Power BI Dataviz World Championships: Comece sua jornada para Barcelona Date: June 16, 2pm Host: Samyr Moises, Dirceu Moraes Resende Power BI Dataviz World Championships: Comienza tu camino a Barcelona Date: June 16, 4pm Host: Walter Calcagno, Lucrecia Krause Dynamic Currency Conversion in Power BI Date: June 22, 6:00 AM Host: Ilgar Zarbaliyev Get Certified: (PL-300) Power BI Data Analyst (US/EMEA) Date: June 22, 8am Host: Ilgar Zarbaliyev, Doher Drizzle Pablo Get Certified: (PL-300) Power BI Data Analyst (APAC) Date: June 23, 3pm Host: Anupama Natarajan, Chris Hyde DP 700- Microsoft Fabric Training | Episode 8: Direct Lake Semantic Models & Power BI Performance Date: June 23, 6:30 PM Host: Amit Chandak Modeling Real LMS Data in Power BI: Star Schema from a Messy MySQL Source Date: June 28, 06:30 AM Host: Parul Rani Sagar Implementing Row-Level Security (RLS) Date: June 29, 6:00 AM Host: Ilgar Zarbaliyev Building Interactive Dashboards and Data Alerts Date: July 6, 6:00 AM Host: Ilgar Zarbaliyev Exploring Data with AI and Natural Language Features Date: July 13, 6:00 AM Host: Ilgar Zarbaliyev Microsoft Certified: Power BI Data Analyst Associate Date: July 18, 5:30 AM Host: Inturi Suparna Babu, Ajay Babu Inturi, Upputuri Gopikrishna Power BI Essentials — Data Days with Data Analytic Group Date: July 18, 09:00 PM Host: Rajendra Ongole,Lanka, Shashi Performing Analytics in Power BI using DAX Date: July 20, 6:00 AM Host: Ilgar Zarbaliyev Get started with Microsoft data analytics Self-paced training Power BI Data Analyst Certification Training (PL-300) Discover resources to prepare for this exam. Power BI Dataviz World Championships Do you have what it takes? DP 700- Microsoft Fabric Training | Episode 8: Direct Lake Semantic Models & Power BI Performance Date: June 23, 6:30 PM Host: Amit Chandak Back to top SQL DP 700- Microsoft Fabric Training | Episode 2: Lakehouse, Warehouse & T-SQL Date: June 15, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 3: Lakehouse with Spark SQL Date: June 16, 6:30 PM Host: Amit Chandak Microsoft Cloud & AI Frontier Week: Modernize SQL for AI-Ready Databases Date: June 24, 03:00 AM Host: Diaa Radwan Microsoft Cloud & AI Frontier Week: Power Intelligent Apps and Agents with Azure Databases Date: June 24, 04:00 AM Host: Diaa Radwan Build with SQL + AI: From Prompt to Intelligent Apps Date: June 25, 01:00 PM Host: Matt Gordon, Alpa Buddhabhatti Modeling Real LMS Data in Power BI: Star Schema from a Messy MySQL Source Date: June 28, 06:30 AM Host: Parul Rani Sagar Starting with Data API Builder in 10 minutes Date: June 30, TBD Host: Phillip Burton Designing and Implementing Database Objects in Azure SQL Database Date: July 11, 9:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Advanced Query Techniques in Azure SQL Date: July 12, 9:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Get Certified SQL+AI (DP-800): Design and Develop SQL Solutions Like a Pro (EMEA / US) Date: July 15, 8:00 AM Host: Javier Villegas; Hamish Watson Get Certified SQL+AI (DP-800): Design and Develop SQL Solutions Like a Pro (APAC) Date: July 16, 3:00 PM Host: Martin Catherall; Greg Low Implementing Programmability Objects in Azure SQL Database Date: July 18, 9:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Securing Data Access in Azure SQL Database Date: July 19, 9:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Get Certified DP-800: Secure, Optimize, & Ship SQL+AI Solutions (APAC) Date: July 20, 4:00 PM Host: Mike Fortman; Mayte Castillo Get Certified DP-800: Secure, Optimize, & Ship SQL+AI Solutions (EMEA/US) Date: July 21, 8:00 AM Host: Jeff Taylor; Matt Gordon Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (EMEA / US) Date: July 23, 8:00 AM Host: Gaston Cruz; Armando Lacerda Optimizing Performance and integrity in Azure SQL Database Date: July 25, 9:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Win in the Seams 🧵 Stitching Together Data and Security with Microsoft Fabric, KQL, and Data Logs Date: July 25, 09:30 AM Host: Philippa Burgess Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (APAC) Date: July 29, 3:00 PM Host: Greg Low; Anupama Natarajan Query and modify data with Transact-SQL Self-paced training SQL AI Engineer Certification Training (DP-800) Discover resources to prepare for this exam. DP 700- Microsoft Fabric Training | Episode 2: Lakehouse, Warehouse & T-SQL Date: June 15, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 3: Lakehouse with Spark SQL Date: June 16, 6:30 PM Host: Amit Chandak Get Certified SQL+AI (DP-800): Design and Develop SQL Solutions Like a Pro (EMEA / US) Date: July 15, 8:00 AM Host: Javier Villegas; Hamish Watson Get Certified SQL+AI (DP-800): Design and Develop SQL Solutions Like a Pro (APAC) Date: July 16, 3:00 PM Host: Martin Catherall; Greg Low Get Certified DP-800: Secure, Optimize, & Ship SQL+AI Solutions (APAC) Date: July 20, 4:00 PM Host: Mike Fortman; Mayte Castillo Get Certified DP-800: Secure, Optimize, & Ship SQL+AI Solutions (EMEA/US) Date: July 21, 8:00 AM Host: Jeff Taylor; Matt Gordon Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (EMEA / US) Date: July 23, 8:00 AM Host: Gaston Cruz; Armando Lacerda Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (APAC) Date: July 29, 3:00 PM Host: Greg Low; Anupama Natarajan Back to top Using AI Microsoft Cloud & AI Frontier Week: Transform Data Silos into AI Fuel – Build an End-to-End Data Foundation Date: June 22, 04:00 AM Host: Mark Torr, Chris Webb, Sarina Stevens Microsoft Cloud & AI Frontier Week: Unify Your Data with OneLake for Analytics, AI and Agents Date: June 24, 01:00 AM Host: Sevgi Guzzella Microsoft Cloud & AI Frontier Week: Turn Data into Intelligent Action with Microsoft Fabric Date: June 24, 02:00 AM Host: Simon Lidberg Microsoft Cloud & AI Frontier Week: Modernize SQL for AI-Ready Databases Date: June 24, 03:00 AM Host: Diaa Radwan Microsoft Cloud & AI Frontier Week: Power Intelligent Apps and Agents with Azure Databases Date: June 24, 04:00 AM Host: Diaa Radwan Microsoft Cloud & AI Frontier Week: Transform Fragmented Data into Trusted AI at Scale – A Roadmap for CDOs Date: June 24, 05:00 AM Host: Seda Teber & Marcel Franke The Future of AI in Microsoft Fabric: Data Agents and Beyond Date: June 24, 08:00 AM Host: Brian Bønk, Philippa Burgess DP 700- Microsoft Fabric Training | Episode 9: Mirroring, Databases, Composite Models & Data Agents Date: June 24, 6:30 PM Host: Amit Chandak Build with SQL + AI: From Prompt to Intelligent Apps Date: June 25, 01:00 PM Host: Matt Gordon, Alpa Buddhabhatti Data and AI Security and Governance in Microsoft Fabric Date: July 7, 07:30 AM Host: Philippa Burgess Exploring Data with AI and Natural Language Features Date: July 13, 6:00 AM Host: Ilgar Zarbaliyev Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (EMEA / US) Date: July 23, 8:00 AM Host: Gaston Cruz; Armando Lacerda Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (APAC) Date: July 29, 3:00 PM Host: Greg Low; Anupama Natarajan DP 700- Microsoft Fabric Training | Episode 9: Mirroring, Databases, Composite Models & Data Agents Date: June 24, 6:30 PM Host: Amit Chandak Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (EMEA / US) Date: July 23, 8:00 AM Host: Gaston Cruz; Armando Lacerda Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (APAC) Date: July 29, 3:00 PM Host: Greg Low; Anupama Natarajan Back to top New Fabric / Power BI / SQL Users DP 700- Microsoft Fabric Training | Episode 1: Fabric Overview, Domains, Workspaces & OneLake Date: June 14, 6:30 PM Host: Amit Chandak Fabric Data Pipelines Full Course For Beginners (Data Days Edition 2026) Date: June 21, 05:30 AM Host: Ansh Lamba Get Certified: Which Data Exam Fits You Best? Date: June 23, 12pm Host: Dean Jurecic, Taylor Amy Learn KQL in 10 minutes Date: June 29 Host: Phillip Burton Starting with Data API Builder in 10 minutes Date: June 30, TBD Host: Phillip Burton From “I’m Just Getting Started” to “I Made This” Date: July 28, 8:00 AM Host: Philippa Burgess; Taylor Amy Get started with Microsoft data analytics Self-paced training Get started with Microsoft Fabric Self-paced training Introduction to Microsoft Azure Data core data concepts Self-paced training Query and modify data with Transact-SQL Self-paced training DP 700- Microsoft Fabric Training | Episode 1: Fabric Overview, Domains, Workspaces & OneLake Date: June 14, 6:30 PM Host: Amit Chandak From “I’m Just Getting Started” to “I Made This” Date: July 28, 8:00 AM Host: Philippa Burgess; Taylor Amy Back to top Certification Prep Certification Resources Which Data Exam Fits You Best? Date: June 23, 12pm Host: Dean Jurecic, Taylor Amy What to Expect and How to Pass Date: June 25, 8am Host: Heini Ilmarinen, Teemu Multanen Get Certified: (Exam Day) What to Expect and How to Pass (US/EMEA) Date: August 6, 8:00 AM Host: Brian Bønk; Charley Hanania Find a Study Group DP-600, DP-700, DP-800, and PL-300 Free Certification Exam Voucher DP-600, DP-700 or DP-800 Get Certified: (Exam Day) What to Expect and How to Pass (US/EMEA) Date: August 6, 8:00 AM Host: Brian Bønk; Charley Hanania DP-600 - Fabric Analytics Engineer Get Certified: (DP-600) Fabric Analytics Engineer Essentials (APAC) Date: June 17, 3pm Host: Heidi Hasting, Martin Catherall Certifícate: (DP-600) Fabric Analytics Engineer Conceptos Clave Date: June 17, 4pm Host: Renzo Roca, Javier Villegas Get Certified: (DP-600) Fabric Analytics Engineer Essentials (US/EMEA) Date: June 18, 8am Host: Ásgeir Gunnarsson, Rajendra Ongole Certifique-se: (DP-600) Fundamentos de Analytics no Fabric Date: June 18, 12pm Host: Ladislau Andre, Roberto Fonseca DP-600 to Real Project: What the Certification Taught Me (and What It Didn't) Date: July 11, 09:30 PM Host: Parul Rani Sagar Microsoft Certified: Fabric Analytics Engineer Associate(DP 600) Date: July 17, 08:30 PM Host: Inturi Suparna Babu, Ajay Babu Inturi, Upputuri Gopikrishna DP-600 Exam Prep — Fabric Analytics Engineer with Data Analytic Group Date: July 25, 09:00 PM Host: Rajendra Ongole,Lanka, Shashi Prepare for Exam DP-600 Prep resources DP-600 In Depth On-demand recorded sessions Free Certification Exam Voucher DP-600, DP-700 or DP-800 Find a Study Group DP-600, DP-700, DP-800, and PL-300 DP-700 - Fabric Data Engineer DP 700- Microsoft Fabric Training | Episode 1: Fabric Overview, Domains, Workspaces & OneLake Date: June 14, 6:30 PM Host: Amit Chandak Certifique-se: (DP-700) Fundamentos de Dados no Fabric Date: June 15, 12pm Host: Luiz Santana, Percy Machado Certifícate: (DP-700) Fabric Data Engineer Conceptos Clave Date: June 15, 4pm Host: Gonzalo bissio, Keyla Dolores Mendez DP 700- Microsoft Fabric Training | Episode 1: Fabric Overview, Domains, Workspaces & OneLake Date: June 15, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 2: Lakehouse, Warehouse & T-SQL Date: June 15, 6:30 PM Host: Amit Chandak Get Certified: (DP-700) Fabric Data Engineer Essentials (APAC) Date: June 16, 3:00 PM Host: Mike Fortman, Martin Catherall DP 700- Microsoft Fabric Training | Episode 2: Lakehouse, Warehouse & T-SQL Date: June 16, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 3: Lakehouse with Spark SQL Date: June 16, 6:30 PM Host: Amit Chandak Get Certified: (DP-700) Fabric Data Engineer Essentials (US/EMEA) Date: June 17, 8:00 AM Host: Aleksi Partanen, Phillip Burton DP 700- Microsoft Fabric Training | Episode 3: Lakehouse with Spark SQL Date: June 17, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 4: Dataflow Gen2 End-to-End Date: June 17, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 4: Dataflow Gen2 End-to-End Date: June 18, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 5: PySpark Notebooks for Data Engineering Date: June 18, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 5: PySpark Notebooks for Data Engineering Date: June 19, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 6: Data Pipelines, Scheduling & OneLake Shortcuts Date: June 21, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 6: Data Pipelines, Scheduling & OneLake Shortcuts Date: June 22, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 7: Real-Time Analytics, Eventstream, Eventhouse & KQL Date: June 22, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 7: Real-Time Analytics, Eventstream, Eventhouse & KQL Date: June 23, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 8: Direct Lake Semantic Models & Power BI Performance Date: June 23, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 8: Direct Lake Semantic Models & Power BI Performance Date: June 24, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 9: Mirroring, Databases, Composite Models & Data Agents Date: June 24, 6:30 PM Host: Amit Chandak Como passar na Certificação DP-700: Guia Definitivo! Date: June 25, 3:00 PM Host: Sidney Cirqueira DP 700- Microsoft Fabric Training | Episode 10: End-to-End Fabric Project & DP-700 Exam Preparation Date: June 25, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 9: Mirroring, Databases, Composite Models & Data Agents Date: June 25, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 10: End-to-End Fabric Project & DP-700 Exam Preparation Date: June 26, 6:30 PM Host: Amit Chandak Getting Started with PySpark for DP-700 Date: July 16, 9:00 AM Host: Teemu Multanen DP-700 In Depth On-demand recorded sessions Find a Study Group DP-600, DP-700, DP-800, and PL-300 Free Certification Exam Voucher DP-600, DP-700 or DP-800 Prepare for Exam DP-700 Prep resources DP 700- Microsoft Fabric Training | Episode 1: Fabric Overview, Domains, Workspaces & OneLake Date: June 14, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 2: Lakehouse, Warehouse & T-SQL Date: June 15, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 3: Lakehouse with Spark SQL Date: June 16, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 4: Dataflow Gen2 End-to-End Date: June 17, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 5: PySpark Notebooks for Data Engineering Date: June 18, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 6: Data Pipelines, Scheduling & OneLake Shortcuts Date: June 21, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 7: Real-Time Analytics, Eventstream, Eventhouse & KQL Date: June 22, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 8: Direct Lake Semantic Models & Power BI Performance Date: June 23, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 9: Mirroring, Databases, Composite Models & Data Agents Date: June 24, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 10: End-to-End Fabric Project & DP-700 Exam Preparation Date: June 25, 6:30 PM Host: Amit Chandak DP-800 - SQL AI Engineer Get Certified SQL+AI (DP-800): Design and Develop SQL Solutions Like a Pro (EMEA / US) Date: July 15, 8:00 AM Host: Javier Villegas; Hamish Watson Get Certified SQL+AI (DP-800): Design and Develop SQL Solutions Like a Pro (APAC) Date: July 16, 3:00 PM Host: Martin Catherall; Greg Low Get Certified DP-800: Secure, Optimize, & Ship SQL+AI Solutions (APAC) Date: July 20, 4:00 PM Host: Mike Fortman; Mayte Castillo Get Certified DP-800: Secure, Optimize, & Ship SQL+AI Solutions (EMEA/US) Date: July 21, 8:00 AM Host: Jeff Taylor; Matt Gordon Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (EMEA / US) Date: July 23, 8:00 AM Host: Gaston Cruz; Armando Lacerda Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (APAC) Date: July 29, 3:00 PM Host: Greg Low; Anupama Natarajan DP-800 In Depth On-demand recorded sessions Find a Study Group DP-600, DP-700, DP-800, and PL-300 Free Certification Exam Voucher DP-600, DP-700 or DP-800 Prepare for Exam DP-800 Prep resources Get Certified SQL+AI (DP-800): Design and Develop SQL Solutions Like a Pro (EMEA / US) Date: July 15, 8:00 AM Host: Javier Villegas; Hamish Watson Get Certified SQL+AI (DP-800): Design and Develop SQL Solutions Like a Pro (APAC) Date: July 16, 3:00 PM Host: Martin Catherall; Greg Low Get Certified DP-800: Secure, Optimize, & Ship SQL+AI Solutions (APAC) Date: July 20, 4:00 PM Host: Mike Fortman; Mayte Castillo Get Certified DP-800: Secure, Optimize, & Ship SQL+AI Solutions (EMEA/US) Date: July 21, 8:00 AM Host: Jeff Taylor; Matt Gordon Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (EMEA / US) Date: July 23, 8:00 AM Host: Gaston Cruz; Armando Lacerda Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (APAC) Date: July 29, 3:00 PM Host: Greg Low; Anupama Natarajan PL-300 - Power BI Data Analyst Using Slicers and What-If Parameters in Power BI Date: June 15, 6:00 AM Host: Ilgar Zarbaliyev Dynamic Currency Conversion in Power BI Date: June 22, 6:00 AM Host: Ilgar Zarbaliyev Get Certified: (PL-300) Power BI Data Analyst (US/EMEA) Date: June 22, 8am Host: Ilgar Zarbaliyev, Doher Drizzle Pablo Certifique-se: (PL-300) Fundamentos de Análise de Dados com Power BI Date: June 22, 12pm Host: Brendell Silva Gomes, Miguel Felix Get Certified: (PL-300) Power BI Data Analyst (APAC) Date: June 23, 3pm Host: Anupama Natarajan, Chris Hyde Certifícate: (PL-300) Power BI Data Analyst Conceptos Clave Date: June 23, 4pm Host: Adrian Fernandez Zenteno, Ricardo Rincón Implementing Row-Level Security (RLS) Date: June 29, 6:00 AM Host: Ilgar Zarbaliyev Building Interactive Dashboards and Data Alerts Date: July 6, 6:00 AM Host: Ilgar Zarbaliyev Microsoft Certified: Power BI Data Analyst Associate Date: July 18, 5:30 AM Host: Inturi Suparna Babu, Ajay Babu Inturi, Upputuri Gopikrishna Performing Analytics in Power BI using DAX Date: July 20, 6:00 AM Host: Ilgar Zarbaliyev Prepare for Exam PL-300 Prep resources PL-300 In Depth On-demand recorded sessions Free Certification Exam Voucher DP-600, DP-700 or DP-800 Find a Study Group DP-600, DP-700, DP-800, and PL-300 Back to top Data Engineering Deep Dives Managing secure access, trusted discovery & data sharing with OneLake (3 sessions) Date: June 16, 9:00 AM Host: Josh Ndemenge Tenant management with Sempy Date: June 16, 11:00 AM Host: Taylor Amy, Teemu Multanen DP 700- Microsoft Fabric Training | Episode 3: Lakehouse with Spark SQL Date: June 16, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 4: Dataflow Gen2 End-to-End Date: June 17, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 5: PySpark Notebooks for Data Engineering Date: June 18, 6:30 PM Host: Amit Chandak Orchestrating Fabric Spark and Best Practices for Production-Ready Workload Date: June 19, 8am Host: Santhosh Kumar Ravindran; Ashit Gosalia Data Ingestion and Discovery in Fabric Date: June 21, 09:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) DP 700- Microsoft Fabric Training | Episode 6: Data Pipelines, Scheduling & OneLake Shortcuts Date: June 21, 6:30 PM Host: Amit Chandak Modeling Real LMS Data in Power BI: Star Schema from a Messy MySQL Source Date: June 28, 06:30 AM Host: Parul Rani Sagar Orchestrating Pipelines, and Notebooks in Fabric Date: July 4, 09:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Designing Data Load Strategies in Fabric Date: July 5, 09:30 AM Host: Amit Kumar Mahato (Cloud Guru Amit) Inside Fabric Runtime 2.0: Spark 4 and Delta 4 in Action Date: July 15, 4:00 PM Host: Arshad Ali and Miles Cole Building Scalable Bronze Layer in Microsoft Fabric Date: July 23, 09:00 AM Host: Aleksi Partanen, Teemu Multanen Managing secure access, trusted discovery & data sharing with OneLake (3 sessions) Date: June 16, 9:00 AM Host: Josh Ndemenge DP 700- Microsoft Fabric Training | Episode 3: Lakehouse with Spark SQL Date: June 16, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 4: Dataflow Gen2 End-to-End Date: June 17, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 5: PySpark Notebooks for Data Engineering Date: June 18, 6:30 PM Host: Amit Chandak DP 700- Microsoft Fabric Training | Episode 6: Data Pipelines, Scheduling & OneLake Shortcuts Date: June 21, 6:30 PM Host: Amit Chandak Inside Fabric Runtime 2.0: Spark 4 and Delta 4 in Action Date: July 15, 4:00 PM Host: Arshad Ali and Miles Cole Back to top Dataviz Using Slicers and What-If Parameters in Power BI Date: June 15, 6:00 AM Host: Ilgar Zarbaliyev Power BI Dataviz World Championships: Start Your Journey to Barcelona Date: June 16, 8am Host: Valerie Junk, Lakshmi Ponnurasan Power BI Dataviz World Championships: Comece sua jornada para Barcelona Date: June 16, 2pm Host: Samyr Moises, Dirceu Moraes Resende Power BI Dataviz World Championships: Comienza tu camino a Barcelona Date: June 16, 4pm Host: Walter Calcagno, Lucrecia Krause Dynamic Currency Conversion in Power BI Date: June 22, 6:00 AM Host: Ilgar Zarbaliyev Building Interactive Dashboards and Data Alerts Date: July 6, 6:00 AM Host: Ilgar Zarbaliyev Inside the Mind of a Dataviz World Champion Date: July 14, 8:00 AM Host: Valerie Junk; Santhana Lakshmi Ponnurasan Performing Analytics in Power BI using DAX Date: July 20, 6:00 AM Host: Ilgar Zarbaliyev From “I’m Just Getting Started” to “I Made This” Date: July 28, 8:00 AM Host: Philippa Burgess; Taylor Amy Power BI Dataviz World Championships Do you have what it takes? Inside the Mind of a Dataviz World Champion Date: July 14, 8:00 AM Host: Valerie Junk; Santhana Lakshmi Ponnurasan From “I’m Just Getting Started” to “I Made This” Date: July 28, 8:00 AM Host: Philippa Burgess; Taylor Amy Back to top Community connections Global Fabric Day 2026 Date: June 27 Host: Kim Manis Data & IA sous contrôle - Meetup MTG:Bordeaux Juillet 2026 - Data Days Edition Date: July 2, 9:30 AM Host: Youva Gharout, Iuliia Mazur, Pierre Chaumont, Xavier Noya, Christian Bonnaud, Alexandre Nédélec Build Connections. Grow Your Career. Start Here for Your Community in India. Date: July 13, 11:00 PM Host: Amit Chandak; Vinodh Kumar Stop Lurking, Start Connecting: You Belong In the Microsoft Data & AI Communities Date: July 16, 9:00 AM Host: Teemu Multanen; Santhana Lakshmi Ponnurasan; Mike Fortman Data Days Hotline: No Slides, Just Answers Date: July 22, 8:00 AM Host: Johan Ludvig Brattås; Markus Ehrenmueller-Jensen Data Days Lightning Talks: Short Talks. Big Ideas. Zero Fluff. Date: July 30, 8:00 AM Host: Jennifer Ratten; Stephanie Bruno Data Days Universidad ICESI - Cali, Colombia Date: August 5, 12:00 PM Host: Álvaro Rodríguez, Cristhian Cabra, Angely Andrade, Andrés Gallego Connect on Reddit Fabric Fina a local Azure Group On the Meetup Find a local User Group On Meetup Find a Study Group DP-600, DP-700, DP-800, and PL-300 More Ways to Connect Find your community Start a New User Group Learn more about User Groups Build Connections. Grow Your Career. Start Here for Your Community in India. Date: July 13, 11:00 PM Host: Amit Chandak; Vinodh Kumar Stop Lurking, Start Connecting: You Belong In the Microsoft Data & AI Communities Date: July 16, 9:00 AM Host: Teemu Multanen; Santhana Lakshmi Ponnurasan; Mike Fortman Data Days Hotline: No Slides, Just Answers Date: July 22, 8:00 AM Host: Johan Ludvig Brattås; Markus Ehrenmueller-Jensen Data Days Lightning Talks: Short Talks. Big Ideas. Zero Fluff. Date: July 30, 8:00 AM Host: Jennifer Ratten; Stephanie Bruno Back to top Spanish Certifícate: (DP-700) Fabric Data Engineer Conceptos Clave Date: June 15, 4pm Host: Gonzalo bissio, Keyla Dolores Mendez Power BI Dataviz World Championships: Comienza tu camino a Barcelona Date: June 16, 4pm Host: Walter Calcagno, Lucrecia Krause Certifícate: (DP-600) Fabric Analytics Engineer Conceptos Clave Date: June 17, 4pm Host: Renzo Roca, Javier Villegas Certifícate: (PL-300) Power BI Data Analyst Conceptos Clave Date: June 23, 4pm Host: Adrian Fernandez Zenteno, Ricardo Rincón Study Group: From Power BI to Microsoft Fabric: The DP-600 Analytics Engineer Vision Date: June 25, 2026 Host: Comunidad Power BI, Fabric & AI en Español Track: DP-600 | Location: Virtual Certifícate: Preparación para el examen – Qué esperar y cómo aprobar Date: June 25, 4pm Host: Gaston Cruz, Keyla Dolores Mendez Study Group: Operational Architecture in Fabric: Workspaces, Capacity, Governance, and Permissions Date: July 1, 2026 Host: Comunidad Power BI, Fabric & AI en Español Track: DP-600 | Location: Virtual Cierre de la temporada 3 - Data Days Edition Date: July 1, 10:00 AM Host: Ana María Bisbé, Diana Aguilera Reyna, Nelson López Centeno Study Group: Martes 7 de julio - Diseño e implementación de soluciones analíticas en Microsoft Fabric Date: July 7, 2026 Host: AP Data & IA Track: DP-700 | Location: Virtual Study Group: OneLake and Lakehouse: Data Strategy, Ingestion, and Unified Access Date: July 8, 2026 Host: Comunidad Power BI, Fabric & AI en Español Track: DP-600 | Location: Virtual Study Group: Jueves 9 de julio - Ingesta, transformación y procesamiento de datos Date: July 9, 2026 Host: AP Data & IA Track: DP-700 | Location: Virtual Data Days Edition by BIExpert - Fabric Data Engineering Date: July 10, 4:00 PM Host: Nicolas Nakasone, Natali Lujan Power BI + MCP: la nueva forma de conectar la IA con tus datos (6 sesiones, en español) — 13 de julio – 17 de agosto de 2026 Date: July 13, 07:00 AM Host: Vicente Antonio Juan Magallanes Study Group: Martes 14 de julio - Monitoreo, rendimiento y optimización de cargas de trabajo Date: July 14, 2026 Host: AP Data & IA Track: DP-700 | Location: Virtual Study Group: Data Warehouse in Fabric: Dimensional Modeling and Analytical Design Date: July 15, 2026 Host: Comunidad Power BI, Fabric & AI en Español Track: DP-600 | Location: Virtual Study Group: Jueves 16 de julio - Preparación para el examen DP-700 y sesión abierta de preguntas y respuestas Date: July 16, 2026 Host: AP Data & IA Track: DP-700 | Location: Virtual Study Group: Data Days - Grupo de Estudio DP-600 / DP-800 Date: July 18, 2026 Host: Cloud Experts Community Track: DP-600 | Location: In-Person | University Norbert Wiener Study Group: Data Preparation in Fabric: Quality, Transformation, SQL, and KQL Date: July 22, 2026 Host: Comunidad Power BI, Fabric & AI en Español Track: DP-600 | Location: Virtual Study Group: Sesión 1: Diseño y desarrollo de soluciones SQL Date: July 28, 2026 Host: AP Data & IA Track: DP-800 | Location: Virtual Study Group: Enterprise Semantic Models: DAX, Direct Lake, and Power BI Performance Date: July 29, 2026 Host: Comunidad Power BI, Fabric & AI en Español Track: DP-600 | Location: Virtual Study Group: Sesión 2: Seguridad, optimización y administración de soluciones SQL con confianza Date: July 30, 2026 Host: AP Data & IA Track: DP-800 | Location: Virtual Agentes inteligentes con Microsoft Fabric: MCP, LLM y datos empresariales (6 sesiones, en español) — 31 de julio – 4 de septiembre de 2026 Date: July 31, 07:00 AM Host: Vicente Antonio Juan Magallanes Study Group: Sesión 3: Incorpo Date: August 4, 2026 Host: AP Data & IA Track: DP-800 | Location: Virtual Study Group: End-to-End Fabric Solution: Security, Governance, Lifecycle, and DP-600 Preparation Date: August 5, 2026 Host: Comunidad Power BI, Fabric & AI en Español Track: DP-600 | Location: Virtual Data Days Universidad ICESI - Cali, Colombia Date: August 5, 12:00 PM Host: Álvaro Rodríguez, Cristhian Cabra, Angely Andrade, Andrés Gallego Data Days Edition by BIExpert - Fabric Data Engineering Date: August 7, 04:00 PM Host: Nicolas Nakasone, Natali Lujan Data Days Edition by BIExpert - Fabric Data Engineering Date: July 10, 4:00 PM Host: Nicolas Nakasone, Natali Lujan Back to top Português Certifique-se: (DP-700) Fundamentos de Dados no Fabric Date: June 15, 12pm Host: Luiz Santana, Percy Machado Power BI Dataviz World Championships: Comece sua jornada para Barcelona Date: June 16, 2pm Host: Samyr Moises, Dirceu Moraes Resende Certifique-se: (DP-600) Fundamentos de Analytics no Fabric Date: June 18, 12pm Host: Ladislau Andre, Roberto Fonseca Study Group: Serie 1 - Preparação para o Exame PL-300 (Power BI Data Analyst) Date: June 21, 2026 Host: Fabric Lusofono Track: PL-300 | Location: Virtual Building a Medallion Architecture in Microsoft Fabric Date: June 22 Host: Ladislau Andre Certifique-se: (PL-300) Fundamentos de Análise de Dados com Power BI Date: June 22, 12pm Host: Brendell Silva Gomes, Miguel Felix Designing Modern Data Architectures with Microsoft Fabric Date: June 23, 11:00 AM Host: To be announced Certifique-se: Dia do Exame — O que esperar e como passar Date: June 25, 12pm Host: Luiz Santana, Miguel Felix Como passar na Certificação DP-700: Guia Definitivo! Date: June 25, 3:00 PM Host: Sidney Cirqueira Medallion Architecture + Data Mesh Architecture Date: June 26, TBD Host: Ladislau Andre Introdução à Análise de Dados da Microsoft Date: June 27, 08:00 PM Host: Shalom André, Filomena Adão Semantic Models in Power BI and Fabric Date: June 28, TBD Host: Ladislau Andre Study Group: Serie 2 - Preparação para o Exame DP-600 (Fabric Analytics Engineer) Date: June 28, 2026 Host: Fabric Lusofono Track: DP-600 | Location: Virtual Semantic Models Schedule Refresh with Pipelines Date: June 30, TBD Host: Ladislau Andre Semantic Models on Fabric notebooks Date: July 2, TBD Host: Ladislau Andre Semantic Models In Enterprise BI Date: July 4, 11:00 AM Host: Ladislau Andre Preparar Dados para Análise com o Power BI Date: July 4, 08:00 PM Host: Shalom André, Evaristo Quiosa Study Group: Serie 3 - Preparação para o Exame DP-700 (Fabric Data Engineer) Date: July 5, 2026 Host: Fabric Lusofono Track: DP-700 | Location: Virtual Modelar Dados com o Power BI Date: July 11, 08:00 PM Host: Shalom André Study Group: Serie 4 - Preparação para o Exame DP-800 (SQL Developer & AI Solutions) Date: July 12, 2026 Host: Fabric Lusofono Track: DP-800 | Location: Virtual Criar Relatórios Eficazes no Power BI Date: July 18, 08:00 PM Host: Shalom André Pare de scrolar e comece a se conectar: você pertence às comunidades de Dados e IA da Microsoft. Date: July 21, 12:00 PM Host: Alison Pezzott; Sidney Oliveira Cirqueira Dentro do Cérebro de campeões mundiais de Dataviz Date: July 21, 2:00 PM Host: Percy Machado; Samyr Moises; Paulo Grijó Get Certified SQL+AI (DP-800): Projete e Desenvolva Soluções SQL como um Profissional Date: July 23, 12:00 PM Host: Armando Lacerda; Ladislau André Gerenciar e Proteger o Power BI Date: July 25, 08:00 PM Host: Shalom André, Milton Dunda Preparação para o Exame e Sessão Q&A Date: July 26, 08:00 PM Host: Shalom André De “tô só começando” para “caramba, eu fiz isso” Date: July 28, 12:00 PM Host: Hugo Venturini; Dirceu Moraes Resende Get Certified SQL+AI (DP-800): Proteja, Otimize e Entregue Soluções SQL com Confiança Date: July 30, 12:00 PM Host: Brendell Silva Gomes; Eda Oliviera Get Certified SQL+AI (DP-800): Leve IA para o SQL com Embeddings, Busca e RAG Date: August 4, 12:00 PM Host: Luis Gustavo Nascimento Serra; Thiago Zavaschi Pare de scrolar e comece a se conectar: você pertence às comunidades de Dados e IA da Microsoft. Date: July 21, 12:00 PM Host: Alison Pezzott; Sidney Oliveira Cirqueira Dentro do Cérebro de campeões mundiais de Dataviz Date: July 21, 2:00 PM Host: Percy Machado; Samyr Moises; Paulo Grijó Get Certified SQL+AI (DP-800): Projete e Desenvolva Soluções SQL como um Profissional Date: July 23, 12:00 PM Host: Armando Lacerda; Ladislau André De “tô só começando” para “caramba, eu fiz isso” Date: July 28, 12:00 PM Host: Hugo Venturini; Dirceu Moraes Resende Get Certified SQL+AI (DP-800): Proteja, Otimize e Entregue Soluções SQL com Confiança Date: July 30, 12:00 PM Host: Brendell Silva Gomes; Eda Oliviera Get Certified SQL+AI (DP-800): Leve IA para o SQL com Embeddings, Busca e RAG Date: August 4, 12:00 PM Host: Luis Gustavo Nascimento Serra; Thiago Zavaschi Back to top French Study Group: Building the Microsoft Fabric Analytics Foundation (French | Virtual) Date: July 18, 2026 Host: Data & AI France Study Group Track: DP-600 | Location: Virtual Study Group: Prepare data with Power BI desktop and Power Query (French | Virtual) Date: July 25, 2026 Host: Data & AI France Study Group Track: PL-300 | Location: Virtual Study Group: Designing and Optimizing Semantic Models in Microsoft Fabric (French | Virtual) Date: July 25, 2026 Host: Data & AI France Study Group Track: DP-600 | Location: Virtual Study Group: Designing Modern SQL Database Solutions (French | Virtual) Date: July 30, 2026 Host: Data & AI France Study Group Track: DP-800 | Location: Virtual Study Group: Model data with Power BI Desktop (French | Virtual) Date: August 1, 2026 Host: Data & AI France Study Group Track: PL-300 | Location: Virtual Study Group: Building Enterprise Reports, Governance and End-to-End Analytics (French | Virtual) Date: August 1, 2026 Host: Data & AI France Study Group Track: DP-600 | Location: Virtual Study Group: Ingesting and Managing Data with Microsoft Fabric (French | Virtual) Date: August 1, 2026 Host: Data & AI France Study Group Track: DP-700 | Location: Virtual Study Group: Visualize, secure and deploy data on the Power BI service (French | Virtual) Date: August 2, 2026 Host: Data & AI France Study Group Track: PL-300 | Location: Virtual Study Group: Transforming and Engineering Data at Scale (French | Virtual) Date: August 8, 2026 Host: Data & AI France Study Group Track: DP-700 | Location: Virtual Study Group: Developing and Querying SQL Databases (French | Virtual) Date: August 8, 2026 Host: Data & AI France Study Group Track: DP-800 | Location: Virtual Data & IA sous contrôle - Meetup MTG:Bordeaux Juillet 2026 - Data Days Edition Date: July 2, 9:30 AM Host: Youva Gharout, Iuliia Mazur, Pierre Chaumont, Xavier Noya, Christian Bonnaud, Alexandre Nédélec From rows to reasoning: Designing databases for AI apps and agents - Morocco Data Days Edition, Date: July 30, 11:00 AM Host: ANAS BELABBES Back to top Japanese / 日本語 Study Group: DP 600 Session 1 Date: July 8, 2026 Host: Japan Microsoft Data Platform User Group Track: DP-600 | Location: Virtual Study Group: DP 700 Session 1 Date: July 9, 2026 Host: Japan Microsoft Data Platform User Group Track: DP-700 | Location: Virtual Study Group: DP 700 Session 2 Date: July 15, 2026 Host: Japan Microsoft Data Platform User Group Track: DP-700 | Location: Virtual Study Group: DP 600 Session 2 Date: July 16, 2026 Host: Japan Microsoft Data Platform User Group Track: DP-600 | Location: Virtual Study Group: DP 700 Session 3 Date: July 18, 2026 Host: Japan Microsoft Data Platform User Group Track: DP-700 | Location: Virtual Study Group: DP 700 Session 4 Date: July 20, 2026 Host: Japan Microsoft Data Platform User Group Track: DP-700 | Location: Virtual Study Group: DP 600 Session 3 Date: July 22, 2026 Host: Japan Microsoft Data Platform User Group Track: DP-600 | Location: Virtual Study Group: DP 600 Session 4 Date: July 29, 2026 Host: Japan Microsoft Data Platform User Group Track: DP-600 | Location: Virtual Back to top Hindi Road to Microsoft Data Days Date: June 15, 05:30 AM Host: Aman Jindal Prepare for the Microsoft Data Days Date: June 22, 5 am Host: Aman Jindal DP 700 Hindi- Microsoft Fabric Training | Episode 1: Fabric Overview, Domains, Workspaces & OneLake Date: July 19, 06:30 PM Host: Amit Chandak DP 700 Hindi- Microsoft Fabric Training | Episode 2: Lakehouse, Warehouse & T-SQL Date: July 20, 06:30 PM Host: Amit Chandak DP 700 Hindi- Microsoft Fabric Training | Episode 3: Lakehouse with Spark SQL Date: July 21, 06:30 PM Host: Amit Chandak DP 700 Hindi- Microsoft Fabric Training | Episode 4: Dataflow Gen2 End-to-End Date: July 22, 06:30 PM Host: Amit Chandak DP 700 Hindi- Microsoft Fabric Training | Episode 5: PySpark Notebooks for Data Engineering Date: July 23, 06:30 PM Host: Amit Chandak DP 700 Hindi- Microsoft Fabric Training | Episode 6: Data Pipelines, Scheduling & OneLake Shortcuts Date: July 26, 06:30 PM Host: Amit Chandak DP 700 Hindi- Microsoft Fabric Training | Episode 7: Real-Time Analytics, Eventstream, Eventhouse & KQL Date: July 27, 06:30 PM Host: Amit Chandak DP 700 Hindi- Microsoft Fabric Training | Episode 8: Direct Lake Semantic Models & Power BI Performance Date: July 28, 06:30 PM Host: Amit Chandak DP 700 Hindi- Microsoft Fabric Training | Episode 9: Mirroring, Databases, Composite Models & Data Agents Date: July 29, 06:30 PM Host: Amit Chandak DP 700 Hindi- Microsoft Fabric Training | Episode 10: End-to-End Fabric Project & DP-700 Exam Preparation Date: July 30, 06:30 PM Host: Amit Chandak Back to top
Handling Multiple Schemas in Eventstream for Azure Event Hub and Azure IOT Hub data sources
One of the challenges with streaming data is that data comes in a variety of schemas, which can be dynamic and are not always predictable. As applications and data structures change, schema values can sometimes be wildly different across devices or event inputs. Recently a customer reached out with several questions on this common problem. With the capabilities in Fabric Real Time Intelligence we can flexibly ingest this data. Enough of the background let’s get to the problem!Self-Service BI and the Semantic Model: Freedom, Friction, and the Path to Governance
Introduction Ask five different people in an organization what "self-service BI" means and you'll get five different answers — a business analyst building a report without waiting on IT, a finance team member connecting Excel to a shared dataset, or a citizen developer standing up an entire semantic model from a CSV export. In Power BI and Microsoft Fabric, all of these are really the same underlying capability: the semantic model is the thing that makes self-service possible in the first place. This post is a grounded look at self-service BI through the lens of the semantic model — what it enables, where it breaks down, how the connectivity mode you choose quietly decides how "self-service" your model can actually be, and what governance levers (discovery, permissions, promotion, certification) exist to turn scattered self-service work into something an enterprise can actually trust. What Is Self-Service BI, Really? Self-service BI is the ability for business users — not just central IT or a dedicated BI team — to connect to data, model it, build calculations, and produce reports without submitting a ticket and waiting in a queue. In the Power BI world, this is powered by three things working together: Power Query for data connection and shaping, without writing ETL pipelines. The semantic model (tables, relationships, DAX measures, RLS) as the reusable logic layer — this used to be called a "dataset." Power BI Desktop / Fabric workspaces as the place to build and share it, without provisioning infrastructure. The critical shift self-service BI represents is this: the semantic model used to be something IT built for you. Now it's something you can build yourself — and, if it's good enough, something the rest of the organization can build on top of. From Self-Service BI to Governed Enterprise BI Self-service BI isn't a one-time event — it's a lifecycle. A model usually starts as one person's Tuesday-afternoon project and, if it proves useful, ends up as a certified, org-wide source of truth. Understanding this journey up front makes every governance decision later in this post make a lot more sense. The failure mode most organizations hit isn't that self-service BI happens — it's that models get stuck at the far-left end of this diagram: dozens of personal-workspace models, each reused informally, none of them promoted, certified, or discoverable, each one quietly diverging from the others on how "revenue" or "active customer" is defined. Advantages of Self-Service BI Speed. A business user can go from question to answer in hours, not weeks, without waiting on a central BI backlog. Domain accuracy. The person closest to the business problem — not a generalist BI developer — defines the logic, which often produces a more correct first draft. Reduced IT bottleneck. Central teams can focus on enterprise-scale, high-stakes models instead of every ad hoc request. Experimentation is cheap. A model that doesn't work out can be discarded without having consumed a formal project slot. Natural talent pipeline. The best self-service models and their authors are exactly the candidates worth promoting into the "governed" side of the house — this is how most Center of Excellence programs actually source their semantic modelers. Disadvantages and Challenges Metric sprawl. Ten self-service models, ten slightly different definitions of "net revenue." Nobody notices until two dashboards disagree in a leadership meeting. No ownership continuity. A model built by one analyst becomes an orphan the day they change roles — nobody else knows the DAX, the source quirks, or the intended grain. Inconsistent data quality controls. Self-service models frequently skip validation steps (data type checks, referential integrity, incremental refresh design) that a governed pipeline would enforce. Duplicate load on source systems. Multiple self-service Import models refreshing against the same source table multiplies extraction load for no additional value. Security drift. Row-level security is easy to forget, easy to configure inconsistently, and easy to leave wide open in a model nobody's reviewing. Discoverability gap. Good models get built and then live invisibly in a personal workspace — the rest of the org keeps rebuilding the same thing because they don't know it already exists (more on this below). The pattern to internalize: none of these challenges argue against self-service BI — they argue for pairing it with a lightweight governance layer (permissions, discovery, endorsement) rather than trying to eliminate self-service altogether. The rest of this post is about that layer. Limitations and Dependencies on Source Systems This is the part of self-service BI that's easiest to underestimate: your semantic model is only as self-service as your source system allows it to be. Concurrency limits. A self-service DirectQuery model pointed at an operational SQL database can genuinely degrade that database's performance for the application it was built for — this is one of the most common "why is production slow" incidents traced back to BI. API and connector throttling. Cloud service connectors (Dynamics, Salesforce, ServiceNow, etc.) impose rate limits; a self-service model refreshing too aggressively can get itself — and other integrations — throttled. Schema volatility. Source systems change columns, rename fields, or restructure without warning the BI layer. A self-service model has no formal change-notification process the way a governed pipeline might. Authentication and gateway dependency. On-premises sources need a data gateway; if the self-service model's owner leaves and the gateway credential was personal, the refresh silently breaks. Data freshness ceiling. Import mode is only as fresh as the last scheduled refresh; if the business genuinely needs seconds-level freshness, self-service Import alone won't deliver it — which is exactly why the connectivity mode decision (next section) matters so much. Licensing and capacity dependency. Direct Lake and large-scale DirectQuery both depend on Fabric/Premium capacity being available and correctly sized — a self-service author rarely has visibility into whether the shared capacity can absorb their model's load. Connectivity / Storage Modes: Import, DirectQuery, Direct Lake, Composite The storage mode you pick for a semantic model isn't just a performance decision — it directly determines how "self-service" the resulting model can be, how much load it puts on the source, and how fresh the data is. Mode How it works Freshness Source load Best for self-service when… Import Data copied and compressed into the in-memory Vertipaq engine As fresh as the last scheduled refresh One-time pull per refresh cycle You need fast queries and the data volume is moderate — the default choice for most self-service models DirectQuery Every visual sends a live query back to the source Real-time Continuous — every interaction hits the source The business genuinely needs live data and the source can absorb query concurrency Direct Lake Reads Delta Parquet files directly from OneLake, no import step Near real-time, no refresh needed Low — reads OneLake files, not the operational source Data already lands in a Fabric Lakehouse/Warehouse as Delta tables Composite Different tables in the same model use different modes (Import + DirectQuery + Direct Lake) Mixed, per table Mixed, per table You need to blend a large fact table (DirectQuery/Direct Lake) with small, fast-changing dimension tables (Import) A few things worth calling out explicitly for a self-service audience: Import is still the right default for most self-service work. It's forgiving of imperfect source design and gives the best query performance for exploration. DirectQuery in a self-service context is where most of the "self-service BI took down our database" stories come from. If you're building DirectQuery self-service models against a transactional system, loop in the DBA before you loop in your stakeholders. Direct Lake is changing this calculus. Because it reads OneLake Delta tables without a traditional refresh, it removes a lot of the Import-vs-DirectQuery tension — but it depends on the data already being well-structured in a Lakehouse, which is usually an IT/engineering deliverable, not a self-service one. Composite models are the realistic middle ground for a self-service author who has one enormous fact table and several small reference tables — DirectQuery/Direct Lake the big table, Import the small ones. Semantic Model Discovery A self-service model that nobody can find delivers zero enterprise value beyond its original author. This is the problem semantic model discoverability solves. In the Power BI service / Fabric, discoverability works like this: Go to the semantic model's Settings → Endorsement and discovery. The Make discoverable checkbox only activates once the model is Promoted or Certified — undoubtedly a deliberate design choice; undiscovered models don't get to advertise themselves. Once discoverable, users without access can find the model in the OneLake data hub (formerly the Power BI data hub) and request access to it, rather than rebuilding it from scratch. This is the single most under-used lever in most self-service BI programs: teams invest in building good models, then never flip the discoverability switch, and the rest of the org keeps duplicating the work. Permissions on a Semantic Model Self-service BI runs into governance friction fastest at the permissions layer — mostly because Power BI's permission model has more moving parts than people expect. At minimum, a self-service author (and their governance reviewer) should understand: Read — can view/interact with reports built on the model; cannot connect a new report to it or see the underlying tables. Build — can create new reports directly against the semantic model (Live Connect, Analyze in Excel, Power BI Report Builder) — this is the permission that actually enables downstream self-service reuse. Reshare — allows a user to grant Read access to others; usually restricted, since it can silently widen a model's audience beyond what the owner intended. Row-Level Security (RLS) / Object-Level Security (OLS) — filters or hides data based on the viewer's identity; self-service authors frequently forget to test this from a non-admin account, which is the only way to know it's actually working. Workspace roles (Viewer, Contributor, Member, Admin) — govern who can edit vs. publish vs. manage the workspace the model lives in, separate from the model-level Build/Read/Reshare permissions above. A useful self-service governance habit: grant Build, not Contributor, to business users who only need to create new reports against an existing certified model. Contributor access invites them to edit the model itself, which is rarely the intent. Promotion and Certification of Semantic Models This is the formal mechanism that turns "a good self-service model" into "the model the organization trusts." Power BI/Fabric supports up to three endorsement levels: Promoted — a self-service endorsement. Any content owner, or anyone with write permissions on the workspace, can promote a model they believe is ready for wider use. Low bar, fast signal. Certified — a governance-level endorsement. Only reviewers explicitly authorized by the Power BI/Fabric admin can certify a model, and certification is meant to signal it has passed the organization's quality bar (data accuracy, refresh reliability, documentation, security configuration). Master data (Fabric) — an additional badge available specifically for data-bearing items like Lakehouses and semantic models, signaling the item is an authoritative source of a core business entity (e.g., "the" Customer table). Endorsed models are visibly badged — a blue badge for Promoted, a gold badge for Certified — everywhere the model shows up: the OneLake data hub, "Get data" dialogs, Excel's Power BI connector, and the report header itself when you're connected live. The practical workflow most Fabric User Groups end up recommending: Author builds and validates the model in a personal/team workspace. Model gets Promoted once it's stable and starts being reused informally. Model owner or the reviewing team requests Certification once it's been moved to a governed workspace and passed a documented quality checklist. Make discoverable is enabled so users without access can find and request it, rather than rebuilding it. Closing Thoughts Self-service BI and enterprise governance aren't opposing forces — they're two ends of the same lifecycle, and the semantic model is what connects them. The connectivity mode you choose decides how much load and freshness trade-off your source system absorbs. Discovery decides whether good work gets reused or silently duplicated. Permissions decide who can build on your model safely. And promotion/certification is the mechanism that turns "someone's self-service project" into "the organization's source of truth." Get those four levers right, and self-service BI stops being a governance risk and starts being exactly what it was meant to be: a faster path to a well-governed enterprise semantic layer. Written by Praful Potphode — Power BI Architect, Microsoft Fabric Community Super User, and founder of the Microsoft Fabric User Group Pune.Microsoft Fabric, RAG, and the Conversations That Follow You Home
In this edition, we will look at why RAG is quickly becoming a much bigger conversation than simply retrieving a few documents before asking an AI model a question. From there, I want to explore something I think deserves far more attention: what happens when retrieval becomes messy, contextual, relational, and dependent on human feedback. And finally, I want to look at what all of this means for data professionals working around Microsoft Fabric and trying to understand where they fit as AI systems become more capable.Best Practices for Building Insightful and Engaging Power BI Reports - NDAC
NextGen Data Aspirants Community (NDAC) Microsoft Fabric Data Connect - An Interactive Knowledge Sharing Event The NextGen Data Aspirants Community (𝐍𝐃𝐀𝐂) is back with a design-driven and insight-elevating session — empowering you to turn Power BI dashboards into compelling data stories that captivate, clarify, and catalyze action! 𝑫𝒂𝒕𝒆: 20th September 2025 𝑻𝒊𝒎𝒆: 6:00 PM IST 𝑫𝒖𝒓𝒂𝒕𝒊𝒐𝒏: 1 Hour 𝑴𝒐𝒅𝒆: Online Session Abstract: In today’s data-driven world, a well-designed Power BI report is more than just a dashboard—it’s a storytelling tool that drives clarity, engagement, and action. This session explores the best practices behind building insightful and visually compelling Power BI reports. From layout and color choices to interactivity and performance, we’ll uncover the design principles that transform raw data into meaningful narratives. Whether you're a beginner or a seasoned practitioner, this session will help you elevate your reporting game with thoughtful design strategies that resonate with users. Session Takeaways: -Understand the core principles of effective report design in Power BI -Learn how to balance aesthetics with usability for maximum impact -Discover layout techniques that guide user attention and improve readability -Explore tips for optimizing performance without compromising design -Gain inspiration from real-world examples and design do’s and don’ts -Leave with actionable insights to create reports that inform, engage, and inspire Don’t miss this chance to level up your Microsoft Power BI skills and take your data game to the next level! Let’s Explore, Learn, and Innovate—Together! 𝑹𝒆𝒈𝒊𝒔𝒕𝒆𝒓 𝒂𝒕 𝑴𝒆𝒆𝒕𝒖𝒑: https://www.meetup.com/nextgen-data-aspirants-community/events/310594299/?utm_medium=referral&utm_campaign=share-btn_savedevents_share_modal&utm_source=link&utm_version=v2 𝑱𝒐𝒊𝒏 𝒖𝒔 𝒂𝒕 𝑴𝒆𝒆𝒕𝒖𝒑: https://www.meetup.com/nextgen-data-aspirants-community/ 𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝑮𝒓𝒐𝒖𝒑 𝒇𝒐𝒓 𝒆𝒗𝒆𝒏𝒕 𝒖𝒑𝒅𝒂𝒕𝒆𝒔 & 𝒍𝒊𝒏𝒌: https://chat.whatsapp.com/GHBzZ7rKqylLyXTGJqyTxz 𝑨𝒍𝒔𝒐 𝒂𝒗𝒂𝒊𝒍𝒂𝒃𝒍𝒆 𝒐𝒏 𝑴𝒊𝒄𝒓𝒐𝒔𝒐𝒇𝒕 𝑻𝒆𝒂𝒎𝒔: https://teams.live.com/l/community/FEAVIPJvr_9CQiYFgw 𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝑪𝒉𝒂𝒏𝒏𝒆𝒍 𝑳𝒊𝒏𝒌: https://whatsapp.com/channel/0029VbB2EH33AzNVJEyA6L0r #PowerBI #DataVisualization #ReportDesign #DataStorytelling #BIBestPractices #NextGenDataAspirants #NDACSession #CommunityDrivenLearning
The Hidden Architecture of Power BI Publishing Explained
Most Power BI developers spend hours building reports—connecting data sources, creating relationships, writing DAX measures, and designing interactive dashboards. Then comes the easiest part: clicking Publish. Or is it? That single button kicks off a series of automated processes inside the Power BI Service that most developers never see. Understanding what happens after publishing can help you troubleshoot issues, optimize deployments, and better explain the Power BI architecture during interviews. Let's walk through the journey. Step 1: Your PBIX File Is Uploaded to the Power BI Service Publishing begins by transferring your local PBIX file from Power BI Desktop to a workspace in the Power BI Service. However, the service doesn't simply store your PBIX file as-is. Instead, Power BI extracts the different components inside the file and manages them as separate cloud assets. This separation is what enables collaborative development, scheduled refreshes, security management, and independent updates. Step 2: The Semantic Model Becomes a Cloud Asset One of the most important components extracted from the PBIX file is the semantic model. The semantic model contains: Imported data Relationships Calculated columns Measures Hierarchies Metadata Security definitions such as Row-Level Security (RLS) Once published, this model lives independently in the Power BI Service and becomes the foundation for report queries. Every visual that users interact with ultimately sends queries back to this semantic model. Step 3: The Report Is Stored Separately Although it feels like a report and its data are inseparable, Power BI treats them as different objects. The report contains: Visuals Pages Filters Bookmarks Themes Layout information Navigation Notice that it doesn't actually store the business data. Instead, every chart, KPI, slicer, and table references the semantic model. This architecture allows multiple reports to reuse the same trusted dataset without duplicating data. Step 4: Metadata Is Registered Power BI now records important metadata about the published assets, including: Workspace location Owner Permissions Refresh settings Data source connections Lineage information This metadata powers many of the management features available in the Power BI Service, including impact analysis, governance, auditing, and deployment pipelines. Step 5: Data Source Connections Are Validated Publishing a report doesn't automatically mean the data can refresh successfully. Power BI checks the data source configuration and determines whether additional setup is required. For cloud-based sources, authentication may simply need to be confirmed. For on-premises databases, an On-premises Data Gateway is typically required before scheduled refreshes can run successfully. Step 6: Credentials Are Stored Securely After publication, Power BI securely stores the credentials used to connect to supported data sources. These credentials aren't embedded inside the report itself. Instead, they're managed centrally within the service, allowing administrators to rotate passwords or update authentication methods without rebuilding reports. Step 7: Scheduled Refresh Can Be Configured If the report uses Import mode, the published semantic model can now be refreshed automatically. Rather than republishing the PBIX every day, Power BI refreshes the underlying data while keeping the report structure intact. Users simply open the report and see the latest available information. Step 8: Security Is Applied Security becomes much more powerful once the report reaches the cloud. Administrators can configure: Workspace permissions App access Row-Level Security (RLS) Object-Level Security (OLS) Build permissions Sharing permissions This ensures different users can access the same report while only seeing the data they're authorized to view. Step 9: Reports Become Shareable Once published, reports are no longer limited to your desktop. Depending on your licensing and organizational policies, they can be: Shared with colleagues Added to Power BI Apps Embedded into internal applications Accessed through Microsoft Teams Consumed from mobile devices The cloud is what transforms a personal report into an enterprise analytics solution. Step 10: Every User Interaction Becomes a Query Publishing doesn't create static reports. Each time a user changes a slicer, drills through data, clicks a chart, or applies a filter, Power BI generates queries against the semantic model. The service processes these requests and returns only the results needed to update the visuals. This interactive query engine is one of the reasons Power BI feels so responsive. Why Understanding This Matters Many developers think publishing is simply uploading a file. In reality, publishing is the point where Power BI converts your desktop solution into a managed cloud analytics platform. Knowing this architecture helps you: Troubleshoot refresh failures more effectively Understand report performance Design reusable semantic models Build scalable enterprise BI solutions Explain the Power BI lifecycle confidently during technical interviews It's also why experienced Power BI professionals often think in terms of semantic models, governance, and shared datasets—not just reports. In conclusion, Publishing a Power BI report is far more than pressing a button. It's the transition from local development to enterprise-grade analytics. Behind the scenes, Power BI separates reports from semantic models, registers metadata, validates connections, secures credentials, enables governance, and prepares your solution for collaboration at scale. The next time you click Publish, remember that you're not just uploading a report—you're deploying an entire analytical solution to the Power BI ecosystem.
From ADF Inventory to a Fabric Operating Model: A Practical Migration Playbook
Migrating from Azure Data Factory to Microsoft Fabric is not a one-for-one conversion. This practical playbook helps you assess existing workloads, choose the right Fabric pattern—Mirroring, Copy jobs, Pipelines, or Notebooks—and validate the move safely through metadata-driven design, reconciliation, and phased cutover.
