Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru
Learn analyzing large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.
4.63 (3304 reviews)
23,107
students
3.5 hours
content
Sep 2018
last update
$69.99
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What you will learn
An overview of the architecture of Apache Spark.
Work with Apache Spark's primary abstraction, resilient distributed datasets(RDDs) to process and analyze large data sets.
Develop Apache Spark 2.0 applications using RDD transformations and actions and Spark SQL.
Scale up Spark applications on a Hadoop YARN cluster through Amazon's Elastic MapReduce service.
Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding about Spark SQL.
Share information across different nodes on a Apache Spark cluster by broadcast variables and accumulators.
Advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
Best practices of working with Apache Spark in the field.
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1328642
udemy ID
8/22/2017
course created date
8/21/2019
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