How do you migrate and transform data from legacy systems to a data lake or a data hub?

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Data integration is the process of combining data from different sources and making it available for analysis, reporting, or other purposes. One of the common challenges of data integration is how to migrate and transform data from legacy systems, such as relational databases, flat files, or mainframes, to a modern data architecture, such as a data lake or a data hub. In this article, we will explain what a data lake and a data hub are, how they differ, and what steps you need to take to migrate and transform your data from legacy systems to either of them.

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