Big Data Analytics Training

Today across the world, organizations are inundated with huge amounts of data from all directions – and to make the best use of it, they must be able to harness all relevant data and analyze it to make the best decisions to transform their business.

With this explosion in data, Hadoop has gained in significance as organizations worldwide have found Hadoop to be the best platform for managing and processing big data.

To make the most efficient use of the Hadoop platform, and fully analyze and utilize every bit of data for maximum productivity, training is of paramount importance. Trained Hadoop Data Analysts are much in demand as they will be able to leverage best practices to work with big data faster and more effectively.

Our Hadoop Data Analyst course is for those who wish to access, manipulate, and analyze massive data sets using SQL and familiar scripting languages on Hadoop. Learn how to transform data using Apache Pig, Apache Hive, and Cloudera Impala and analyze it using filters, joins, and user-defined functions familiar from other technologies.

At the end of the training, participants will be able to:

• Basics of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with Hadoop tools
• How to join multiple data sets and analyze disparate data with Pig
• How to organize data into tables, perform transformations, and simplify complex queries with Hive
• How to perform real-time interactive analyses on massive data sets stored in HDFS or HBase using SQL with Impala
• How to pick the best tool for a given task in Hadoop, achieve interoperability, and manage workflows that are repetitive

Pre-requisite:

• Basics of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with Hadoop tools
• How to join multiple data sets and analyze disparate data with Pig
• How to organize data into tables, perform transformations, and simplify complex queries with Hive
• How to perform real-time interactive analyses on massive data sets stored in HDFS or HBase using SQL with Impala
• How to pick the best tool for a given task in Hadoop, achieve interoperability, and manage workflows that are repetitive

Course Outline:

• Big Data Introduction
• Hadoop Introduction
• Hadoop Daemon Processes
• HDFS (Hadoop Distributed File System)
• Hadoop Installation Modes and HDFS
• Hadoop Developer Tasks
• Hadoop Ecosystems
• Integration