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

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The Ultimate Hands-On Hadoop - Tame your Big Data!
Hadoop, MapReduce, HDFS, Spark, Pig, Hive, HBase, MongoDB, Cassandra, Flume - the list goes on! Over 25 technologies.
BESTSELLING
⭐️⭐️⭐️⭐️  4.6 (3,371 ratings)
🎓🎓🎓🎓   22,994 students enrolled
⏱⏱⏱⏱  14.5 hours on-demand video
Created by Sundog Education by Frank Kane
English

The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this course, 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 big data 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.

• Install and work with a real Hadoop installation right on your desktop with Hortonworks and the Ambari UI
• Manage big data on a cluster with HDFS and MapReduce
• Write programs to analyze data on Hadoop with Pig and Spark
• Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto
• Design real-world systems using the Hadoop ecosystem
• Learn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue
• Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm

Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data.

What Will I Learn?

• Design distributed systems that manage "big data" using Hadoop and related 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

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