AtScale Blog

What is Spark and Why You Should Care

Posted by Ashley Huang on Jun 24, 2016
 
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Rumor has it that with the rise of Apache Spark, Spark will replace Hadoop.

Wait What? 

Well, let’s take a look. Apache Spark is an open-source processing engine that supports interactive quieries while Hadoop is an easy to scale, cost effective data storage. The truth is- Spark does not replace Hadoop, in fact, Hadoop and Spark complement one another.

Now you may wonder: how will Spark and Hadoop affect your big data strategy?

Watch this 8-minute video with Josh Klahr to understand:

  • How Spark and Hadoop work together
  • How Spark is different from other SQL on Hadoop Engines and what its advantages are
  • What you should consider when evaluating SQL on Hadoop Engines
 
 
 
 
 
 
 
 

There is no one solution for all of your big data problems. To learn more about Hadoop and BI on Hadoop, check out the resources below. 

Thank you for reading this blog. We hope this overview was valuable, if there are other questions you’d like us to address please feel free to comment below. 

Finally, subscribe to our blog to get more helpful tips about Hadoop and BI-On-Hadoop!


Topics: Hadoop, Business Intelligence, spark, Big Data

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