Customizing Lake Databases in Azure Synapse Analytics
Great, so I've configured my Lake Database in Azure Synapse Analytics. But since I'm using parquet-backed files, my column names aren't very user-friendly. I also have these calculated columns incorporating business logic that I'd like to query on the fly rather than persist them to backing data. I also want to give specific end-users access to this database and provide them with pre-defined reporting queries to get them up and running as quickly as possible. How can I do this? Enter Custom Objects in Lake Databases - now you can create VIEWs, Stored Procedures, USERs (amongst other objects) in what used to be a read-only database. This article explores the customization options and how it can help you organize your reporting data in Azure Synapse Analytics
Published on:
Learn moreRelated posts
Azure Boards additional field filters (private preview)
We’re introducing a limited private preview that allows you to add additional fields as filters on backlog and Kanban boards. This long-reques...
12 hours ago
What’s new with Azure Repos?
We thought it was a good time to check in and highlight some of the work happening in Azure Repos. In this post, we’ve covered several recent ...
3 days ago
Part 1: Building Your First Serverless HTTP API on Azure with Azure Functions & FastAPI
Introduction This post is Part 1 of the series Serverless Application Development with Azure Functions and Azure Cosmos DB, where we explore ...
3 days ago
Announcing GPT 5.2 Availability in Azure for U.S. Government Secret and Top Secret Clouds
Today, we are excited to announce that GPT-5.2, Azure OpenAI’s newest frontier reasoning model, is available in Microsoft Azure for U.S. Gover...
4 days ago