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Today, companies collect a lot of important information that keeps their businesses running and helps them make big decisions. But here’s the problem: the more data they have, the harder it is to keep it safe. Whether it’s dealing with sneaky online threats or deciding who can see what is inside the company, it’s a […]
Today, I would like to write a few words about schema enforcement and schema evolution in Delta Lake. Both concepts are quite crucial if we want to implement lakehouse solutions in Microsoft Fabric, Databricks, or any other tools that work with Delta Lake. Before we delve deeper into the details, let’s briefly explain our topic […]
One of the most exciting pieces of news that has emerged in recent days is the availability of the Semantic Link feature in Microsoft Fabric. What exactly is it, and what makes it so thrilling? Let’s delve into it. The Semantic Link feature empowers you to establish a connection between Power BI datasets and Synapse […]
The concept of a lakehouse typically relies on the loading of raw data in native formats such as JSON, Parquet, Avro, etc., into the Delta format. A similar procedure is observed in Microsoft Fabric, where our initial task involves extracting files from source systems (utilizing tools such as Data Factory) and placing them in the […]
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