That's Spark Streaming and GraphX, and with that, we've covered pretty much everything there is about Spark, at least as of this date. Congratulations! You are now very knowledgeable about Spark. If you've actually followed along and gone through the examples and done the exercises, I think you can call yourself a Spark developer, so well done Let's talk about where to go from here next and what the next steps are for continued learning.
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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.
Read more about Frank Kane
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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