Objectives

• 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 MySQLAnalyze non-relational data using HBase, Cassandra, and MongoDBQuery data interactively with Drill, Phoenix, and PrestoChoose an appropriate data storage technology for your application

Outcomes

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 FlumeConsume streaming data using Spark Streaming, Flink, and Storm

Course Contents

explain how hadoop work and its compoent programming hadoop using pig programming hadoop using spark how to use relational data store with hadoop how to use non relational data store with hadoop how to use spark for data analysis using python programming for data analysis

Description

Data will be available soon!