If you’re even tangentially involved with big data, you know that finding storage solutions for the volumes of data being generated every second is of utmost importance. When it comes to managing data ...
When it comes to cloud computing, the terms we use are almost as important as the data we store and analyze. Companies that communicate about how cloud computing data is stored, retrieved, accessed ...
Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...
Metadata is information that describes other data. When appropriately used within a data lake, it acts as a tagging system that enables people to search for different kinds of data. Metadata can also ...
Dive into data lakes—what they are, how they're used, and how data lakes are both different and complementary to data warehouses. In 2011, James Dixon, then CTO of the business intelligence company ...
Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that have been ...
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