July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Summary
We explored the evolution of the Hadoop and MapReduce frameworks and discussed YARN, HDFS concepts, HDFS Reads and Writes, and key features as well as challenges. Then, we discussed the evolution of Apache Spark, why Apache Spark was created in the first place, and the value it can bring to the challenges of big data analytics and processing.
Finally, we also took a peek at the various components in Apache Spark, namely, Spark core, Spark SQL, Spark streaming, Spark GraphX, and Spark ML as well as PySpark and SparkR as a means of integrating Python and R language code with Apache Spark.
Now that we have seen big data analytics, the space and the evolution of the Hadoop Distributed computing platform, and the eventual development of ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.