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Blog Looking at Both Sides of the Data Lake Argument

Looking at Both Sides of the Data Lake Argument

While data lakes are often compared to data warehouses, the only thing they have in common is that both are used to store, and later analyze, massive amounts of data. A data lake is considered a vast pool of raw data where the purpose of the data is not defined, while a data warehouse is a repository for structured and defined data that has already been processed for a particular purpose.

In an article recently published by Insider Pro, Michael Knopf, a software engineer here at TruSTAR, helps to break down the pros and cons of utilizing a data lake, what a data lake does, and if a data lake is right for your organization.

To learn more, you can subscribe to IDG to read the full article here.