The Ultimate Hands-On Hadoop: Tame your Big Data!

Data Engineering and Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more!

Created by Sundog Education by Frank Kane, Sundog Education Team, Frank Kane | 14.5 hours on-demand video course

The world of Hadoop and “Big Data” can be intimidating – hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this Hadoop tutorial, you’ll not only understand what those systems are and how they fit together – but you’ll go hands-on and learn how to use them to solve real business problems!

Learn and master the most popular data engineering technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We’ll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.

What you’ll learn

• Design distributed systems that manage “big data” using Hadoop and related data engineering technologies.
• Use HDFS and MapReduce for storing and analyzing data at scale.
• Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
• Analyze relational data using Hive and MySQL
• Analyze non-relational data using HBase, Cassandra, and MongoDB
• Query data interactively with Drill, Phoenix, and Presto
• Choose an appropriate data storage technology for your application
• Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
• Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
• Consume streaming data using Spark Streaming, Flink, and Storm

Recommended Course

Taming Big Data with Apache Spark and Python – Hands On!

Taming Big Data with MapReduce and Hadoop – Hands On!

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