Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm Learn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Prestoĭesign real-world systems using the Hadoop ecosystem Write programs to analyze data on Hadoop with Pig and Spark Manage big data on a cluster with HDFS and MapReduce Install and work with a real Hadoop installation right on your desktop with Hortonworks (now part of Cloudera) and the Ambari UI ![]() ![]() We'll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with. 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. 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! The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem.
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