Azure Data Lake Store is called a hyper-scale repository for data for a reason—there is no limit when it comes to storing files. It can have any format, be any size, and store information structured differently. This is also a great model for big data analytics as you can store files in the way that is the best for your processing services (some prefer a small number of big files, some prefer many small files – choose what suits you the most). This is not possible for other storage solutions such as relational, NoSQL, or graph databases, as they always have some restrictions when it comes to saving unstructured data. Let's check an example comparison between Azure Data Lake Store and Azure Storage:
Azure Data Lake Store fundamentals
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