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Oops, Dropped the Wrong Table? What now? We’ve all been there: you’re cleaning up some old stuff in Databricks, run a quick DROP TABLE… and suddenly realize it was the production sales table. Heart stops for a second, right? Good news: if you’re using Unity Catalog in Azure Databricks, the UNDROP command is basically an […]
A warehouse snapshot is a read-only copy of your data taken at a specific moment. It is kept for up to 30 days. You can move the snapshot forward in time whenever needed. This lets users keep using the same connection while seeing an earlier version of the data. When you advance the snapshot, new […]
A Delta table stored in your data lake is made up of Parquet files. Usually, there is more than one file. This happens when you have a lot of data, so it makes sense to break it into smaller pieces. It also happens when you often add new data or make changes. Parquet files cannot […]
Today, I continue writing my thoughts about Microsoft Fabric implementation. In this part, we will focus on specific services, data access, DevOps, and also CI/CD. If you are reading this, I recommend that you read the first part, which can be found here. Which service to use? Fabric offers a wide range of services, and […]
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