As a scalable, low-cost, centralized data repository for storing raw data from a variety of sources, data lakes are growing in popularity. With data lakes, users can store their data as-is without having to first structure it, and then run different types of analytics to gain insights.
From reducing costs to automating data analytics, data lakes bring many benefits. We cover the top five reasons to dive into data lakes in the infographic below. Download the eBook Leverage Big Data Analytics with AWS to learn more.
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