Microsoft Fabric vs Databricks vs Snowflake: A Deep Comparison of Modern Data Platforms
In the previous blogs of this series, we explored the foundations of modern data platforms—starting with Parquet, then understanding Delta Tables, and finally looking at how Delta Live Tables automate data pipelines. But modern analytics environments involve more than just storage formats and pipelines. Organizations also need platforms that can manage data engineering, analytics, machine learning, and reporting. Today, three major platforms dominate this space: Microsoft Fabric Databricks Snowflake Each platform provides powerful capabilities, but they are designed with different philosophies and use cases in mind. In this article, we will explore how these platforms compare and when organizations should choose each one.From Power BI to Microsoft Fabric What Data Professionals Should Know
Microsoft Fabric is changing how we think about analytics, data engineering, and BI. If you already work with Power BI, SQL, or Azure tools, this blog will help you understand what Fabric really is, how its components fit together, and where to start without getting overwhelmed.Navigating the (new) DP-600 exam: Part 3- Implement and manage semantic models
It’s official – the Fabric Analytics certification is the fastest growing in Microsoft history! But the associated DP-600 exam is a very broad syllabus, covering everything from data ingestion/transformation using T-SQL and KQL (for Real-time intelligence), to semantic modelling and managing a Fabric environment using CI/CD. In this series of articles, I cover some of the key topics under each of the three syllabus areas (Maintaining Data Analytics Solutions, Prepare Data and Building Semantic models) with examples and scenarios. These are based on a DP-600 exam preparation guide prepared by Abu Bakar, which is available for free along with over 200 practice questions at MS Fabric Training (www.msfabrictraining.com). This article is focused on Module 3 - Implement and manage semantic models - which comprises 25-30% of the overall exam syllabusNavigating the (new) DP-600 exam: Part 2 - Prepare Data
It’s official – the Fabric Analytics certification is the fastest growing in Microsoft history! But the associated DP-600 exam is a very broad syllabus, covering everything from data ingestion/transformation using T-SQL and KQL (for Real-time intelligence), to semantic modelling and managing a Fabric environment using CI/CD. In this series of articles, I cover some of the key topics under each of the three syllabus areas (Maintaining Data Analytics Solutions, Prepare Data and Building Semantic models) with examples and scenarios. These are based on a DP-600 exam preparation guide prepared by Abu Bakar, which is available for free along with over 200 practice questions at MS Fabric Training (www.msfabrictraining.com). This article is focused on Module 2 - Prepare Data - which comprises 40-45% of the overall exam syllabusNavigating the (new) DP-600 exam: Part 1 - Maintaining Data Analytics solutions
It’s official – the Fabric Analytics certification is the fastest growing in Microsoft history! But the associated DP-600 exam is a very broad syllabus, covering everything from data ingestion/transformation using T-SQL and KQL (for Real-time intelligence), to semantic modelling and managing a Fabric environment using CI/CD. In this three part series of articles, I cover some of the key topics under each of the three syllabus areas (Maintaining Data Analytics Solutions, Prepare Data and Building Semantic models) with examples and scenarios. These are based on a DP-600 exam preparation guide prepared by Abu Bakar and I, which is available for free along with over 200 practice questions at MS Fabric Training (www.msfabrictraining.com). This article covers Module 1 - Maintaining Data Analytics solutions - which comprises 25-30% of the overall syllabus.
