Hadoop, MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka- the list goes on! Over 25 technologies.
What you’ll learn
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Design distributed systems that manage “big data” using Hadoop and related technologies.
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Use HDFS and MapReduce for storing and analyzing data at scale.
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Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
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Analyze relational data using Hive and MySQL
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Analyze non-relational data using HBase, Cassandra, and MongoDB
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Query data interactively with Drill, Phoenix, and Presto
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Choose an appropriate data storage technology for your application
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Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
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Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
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Consume streaming data using Spark Streaming, Flink, and Storm
DOWNLOAD
https://mega.nz/folder/RIxTnQhA#ZcnjrQY46jGTLE0rrMAeYg
