Hadoop, an open source software framework with the funny sounding name, has been a game-changer for organizations by allowing them to store, manage, and analyze massive amounts of data for actionable insights and competitive advantage.
But this wasn’t always the case.
Initially, Hadoop implementation required skilled teams of engineers and data scientists, making Hadoop too costly and cumbersome for many organizations. Now, thanks to a number of open source projects, big data analytics with Hadoop has become much more affordable and mainstream.
Here’s a look at how three open source projects—Hive, Spark, and Presto—have transformed the Hadoop ecosystem.
Read more at OpenSource.com
