James Serra

James works at Microsoft as a big data and data warehousing solution architect where he has been for most of the last nine years. He is a thought leader in the use and application of Big Data and advanced analytics, including data architectures such as the modern data warehouse, data lakehouse, data fabric, and data mesh. Previously he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 35 years of IT experience. He is a popular blogger (JamesSerra.com) and speaker, having presented at dozens of major events including SQLBits, PASS Summit, Data Summit and the Enterprise Data World conference. He is the author of the book “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh”.

Blog Post

Azure Advisor

Azure Advisor is a really cool personalized recommendation engine that provides you with proactive best practices guidance on High Availability,...

2016-12-01

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Blogs

Ramblings about data communities and your contributions, no excuses

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I have been active in the data community throughout my career. I have met...

SQL Server Journey till 2025 (brief)

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Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...

Building Power BI Reports: Desktop vs Fabric

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Why this comparison feels confusing If you’re a Power BI report author who’s just...

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Forums

Azure SQL Database | CREATE EVENT SESSION [Blocking_Capture] ON DATABASE

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Hello, Is there a way in Azure SQL Database to change the 'Blocking Process...

Having a Little Fun at SQL Server Central

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Having a Little Fun at...

Designing SQL Server Pipelines That Are Ready for AI Before You Actually Need AI

By Ankush Rastogi

Comments posted to this topic are about the item Designing SQL Server Pipelines That...

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Question of the Day

String Similarity I

On SQL Server 2025, when I run this, what is returned?

SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL')

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