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Showing posts from March, 2016

Top Five Differences between Data Lakes and Data Warehouses

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According to Google, the interest in “Big Data” has been trending up for several years and has really gained steam in the last couple. The purpose of this post is to help highlight the differences between data lakes and data warehouses to help you make an informed decision on how to manage your data. Those of us that are data and analytics practitioners have certainly heard the term and as we begin to discuss big data solutions with customers, the conversation naturally turns to a discussion of data lakes. However, I often find that customers either haven’t heard the term or don’t really have a good understanding of what it means.
First, let’s define our terms…  Data WarehouseWikipedia, defines Data Warehouses as: “…central repositories of integrated data from one or more disparate sources. They store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons.” This is a very high level definition tha…