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In my earlier article (link), I initiated a discussion on the functionality of Microsoft Fabric Event Streams. I provided an overview of the tool and covered the steps for connecting to data sources. In this follow-up article, I will guide you through the process of data processing and demonstrate how to efficiently store it in […]
As you probably know Microsoft Fabric addresses most data analytics scenarios but one of the most important ones is Real-Time Analytics: What does it mean? It means that Fabric gives us set of services where we can process our streaming data. We can del with such data in many different ways like: streaming datasets/push datasets […]
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 […]