Using Spark in the Hadoop Ecosystem [Update]

[mitsumi]

Using Spark in the Hadoop Ecosystem
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 11 Hours | 4.35 GB
Genre: eLearning | Language: English

You're new to Big Data, you've heard about Apache Spark and Apache Hadoop and you want to play. Big Data coach Rich Morrow gets you into the game via sixteen sprints (sixteen hands-on labs) across the Spark-Hadoop ball field. First, you'll create playing areas using Amazon Web Services EMR and Cloudera Quickstart VM. Then you'll install Hadoop, run basic HDFS commands, learn MapReduce, use Flume and Sqoop, run Spark and then run Spark again.

You'll play with Spark SQL, learn common MLLib usage, do analysis with Hive, ETL with Pig, and then jog through Hadoop/Cloud use cases, Hbase basics, and enterprise integration. When practice is over, you'll know Spark, it's associated modules, the Hadoop ecosystem, and the when, where, how, and why each technology is used. Working files are included, allowing you to follow along with the author throughout the lessons. Play on.

Understand Apache Spark and why it's Big Data's fastest growing open source project
Learn what Apache Hadoop is and how it's used in the world of Big Data
Master the basics of Hadoop - HDFS, YARN and MapReduce
Master the basics of Spark- Spark SQL, MLlib, Spark Streaming, Graphx and more
Discover Sqoop, Flume, Hive, Pig, HBase, and Oozie - key components of Hadoop
Gain direct experience with Spark and Hadoop with sixteen hands-on labs
         

               

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