This concludes the part of the course about Spark core, covering the things you can do with Spark itself. We did pretty much everything there is to do, and we actually ran a million ratings, and analyzed on a real cluster in the cloud using Spark. So congratulations, if you've got this far! You are now pretty knowledgeable about Spark. In the next chapter, we'll talk about some of the technologies built on top of Spark that are still part of this greater Spark package.
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You're reading from Frank Kane's Taming Big Data with Apache Spark and Python
Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
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Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
Read more about Frank Kane