Data Lakehouse, Data Mesh & Data Fabric-The alphabet soup of data architectures
We are excited to invite you to our upcoming community session featuring James Serra, Industry Advisor - Federal Civilian at Microsoft. James will be sharing his expertise on the intriguing topic of "Data Lakehouse, Data Mesh, and Data Fabric: Exploring the Alphabet Soup of Data Architectures." Session Details: Title: Data Lakehouse, Data Mesh, and Data Fabric (the alphabet soup of data architectures) Date: 9th August 2023 Time:18:00 hrs CET /12:00 PM EDT Speaker: James Serra,Microsoft Session Description: In this session, James will guide us through the fascinating world of data architectures, demystifying the buzzwords such as Data Lakehouse, Data Mesh, and Data Fabric. He will provide a detailed comparison of these concepts with a modern data warehouse, discussing their benefits, drawbacks, and key considerations. James will delve into real-world use cases, allowing you to assess which approach aligns best with your big data requirements. Additionally, he will share insights on implementing a data mesh and data lakehouse within Microsoft Fabric. Don't miss this opportunity to gain valuable insights and expand your understanding of data architectures. Join us for an engaging session with James Serra! To attend the session, we kindly request you to mark yourself as "Going" on the event page and add it to your calendar. The link to join the session will be shared on the event page a few days before the session. Make sure to check the event page at the time of attending for the link. We look forward to your active participation and enriching discussions during the session. Let's continue our journey of exploration and knowledge together!
Microsoft Fabric : Enabling Data Mesh and Transforming your company's Data
Discover how Microsoft and Data Mesh are closely related, enabling the distribution of responsibilities according to Data Mesh principles and with all the power of Microsoft Fabric to empower individual domains and coordinate the distribution
Deciphering Data Architectures
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they’re also surrounded by a lot of hyperbole and confusion. In this presentation I will give you a guided tour of each architecture to help you understand its pros and cons. I will also examine common data architecture concepts, including data warehouses and data lakes. You’ll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality. Best of all, you’ll be able to determine the most appropriate data architecture for your needs. And I’ll finish with discussing Microsoft’s version of the data mesh using Microsoft Fabric. The meeting will start at 5.30pm with refreshments. The presentation will start shortly after 6pm. Join our Meetup: https://www.meetup.com/madison-power-bi/ ***LOCATION*** We'll be meeting on the ground floor of the Baker Tilly offices in Madison: 4807 Innovate Ln, Madison, WI 53707. It's on the far east side - exit the interstate on US-151 towards Sun Prairie, then the 2nd exit on American Parkway. Take the first left onto Eastpark Blvd. The Baker Tilly building is 2 buildings after Cambria Suites on Eastpark Blvd. Enter through the main entrance at the front of the building - doors are locked but we'll have someone to let you in and they'll be a phone number to call if you arrive later. What3Words: ///handyman.navigating.mutateData Mesh as the Foundation for AI/ML in Financial Services
Data Engineers in Toronto June 2026 Semimonthly Meeting Topic: Data Mesh as the Foundation for AI/ML in Financial Services Abstract: Financial institutions want AI/ML at scale, but brittle data pipelines, silos, and compliance demands slow progress. This talk shows how a Data Mesh—domain-oriented ownership, data-as-product, self-serve platforms, and federated governance—becomes the foundation for reliable, reusable ML features and trustworthy models. We’ll map mesh principles to FS use cases—fraud detection, risk, personalization—and show patterns for feature stores, lineage, quality, and access controls that satisfy regulators while accelerating delivery. Attendees will get a pragmatic blueprint: where to start, how to sequence capabilities, metrics that prove value, and pitfalls to avoid on the road from pilots to production. Speaker: Santosh Durgam, Data Engineering & Analytics Leader Speaker Profile: Santosh Durgam is a data engineering & analytics leader with 20+ years building governed, high-scale data platforms across retirement/401(k), broader financial services, and healthcare. He leads cross-functional teams that deliver production-grade data lakes, lineage-aware pipelines, and ML-enabled analytics on cloud—translating governance into measurable business outcomes. Recent speaking includes SQL Saturday Minnesota 2025, where he presented “From Ingestion to Insights: Building Robust Data Pipelines in AWS” to an in-person community audience. He has also contributed to international research forums and science conferences, and is invited to speak at ICDPN-2025 (International Conference on Data Processing & Networking), engaging practitioners and scholars on data engineering, governance, and analytics at scale. Santosh actively publishes/curates work via Google Scholar and shares practical playbooks for data quality, metadata/lineage, and operating models that connect data platforms to financial decisioning. Beyond delivery, Santosh serves the community as a peer reviewer of scholarly work on data/ML methodologies and as a judge/mentor for select industry and academic competitions, reinforcing peer validation and public recognition. He champions modern data culture—mentoring engineers and product leaders, and advocating automation (incl. AI agents) to elevate reliability, speed, and auditability in regulated environments. Santosh recently completed his Executive MBA, sharpening strategy and value-creation at the intersection of data, risk, and growth The meeting is over Microsoft Teams, and the joining link is https://teams.microsoft.com/l/meetup-join/19%3ameeting_NzZkYWIyOTAtODk1MC00MjVmLWJlNjUtNTRiODZmODA2Zjdh%40thread.v2/0?context=%7b%22Tid%22%3a%22bd9727e8-f539-4c76-983c-6c30130c0bee%22%2c%22Oid%22%3a%229e8d5a64-e773-4ca2-90f6-9a266129171e%22%7d See you at the meeting!
