James Serra

Have you been thinking about presenting at a user group? Are you being asked to present at your work? Is learning to present one of the keys to advancing your career? Or do you just think it would be fun to present but you are too nervous to try it? Well take the first step to becoming a...

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.

Generative AI, traditionally used for processing unstructured text, is rapidly advancing to handle structured data like relational databases, spreadsheets, and CSV files. New tools now enable AI to extract meaningful insights, identify patterns, and generate predictions from structured datasets.

Learn how Microsoft Fabric can be leveraged with the architectures: Data fabric, data lakehouse, and data mesh. Get a tour of each architecture and explore their pros and cons.

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.

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.

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.

This pre-conference workshop will begin by defining 'big data' and clarifying various data architecture concepts to establish a solid foundation of understanding before delving into specific data architectures. Topics to be covered include relational data warehouses, data lakes, data marts, data virtualization, and…

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 three years I went from a complete unknown to a popular blogger, speaker at PASS Summit, a SQL Server MVP, and then joined Microsoft. Along the way I saw my yearly income triple.

I'll discuss this new feature in Azure Synapse Analytics that allows you to quickly and easily use industry data models to shortcut the process of ingesting data from multiple sources into a common data model.

Embarking on building a modern data warehouse in the cloud can be an overwhelming experience due to the sheer number of products that can be used, especially when the use cases for many products overlap others.

In three years I went from a complete unknown to a popular blogger, speaker at PASS Summit, a SQL Server MVP, and then joined Microsoft. Along the way I saw my yearly income triple.