Big Data Analytics - Hadoop 2 and Spark Training by MCAL in Pune

TRAINING OVERVIEW

• What is Big Data?
• What are the business drivers for Big Data?
• Criticality of Data for modern business decisions.
• Inadequacy of current data management techniques
• Non relational databases and their advantages
• Hadoop HDFS and MapReduce
• Hadoop cluster installation and operation - Demo
• Introduction to Hadoop (2.X) and the Hadoop eco-system
• Hive Programming, Pig Programming,
• AVRO format, SQOOP and FLUME
• SPARK
• Introduction, architecture, operation, interfaces
• Streaming, machine learning, and graph processing using SPARK
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HANDS-ON EXERCISES

• The course operates in workshop mode to introduce participants to Big Data storage and analysis
• SPARK and Hadoop (2.X) are introduced and their installation and operations are explained through hands-on exercises.
• Hadoop eco-system components like Avro, SQOOP, Flume, HBase, Hive and Pig are also covered in the workshop.
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LEARNING OBJECTIVES

• To get a good grip on Big Data and Data Analytics
• To learn the Big Data toosl : SPARK and Hadoop (2.X)
• To apply SPARK, Hadoop and other associated tools to solve real problems

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BENEFITS FOR INDIVIDUALS

• Get a good grip on Big Data and Data Analytics
• Gain the ability to identify and classify data analysis problems – and identify solutions
• Hands-on introduction to SPARK and Hadoop Software – and their applications
• Apply the acquired concepts to practical situations – such as Business Data Analysis – to support decision making
• Get a practical introduction to the Hadoop eco-system components.

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