Big Data Analytics - Hadoop 2 and Spark Training

Pune, India, October 9, 2015 (Newswire.com) - 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

WHY KNOW ABOUT BIG DATA AND HADOOP?

Data is being generated at an ever increasing rate. It is originating not only from the conventional sources such as business interactions, scientific research and social media, but also from newer agents like millions of devices that are collectively known as the “Internet of Things” or IOT. This massive quantity of data is impacting the way in which we approach the task of “problem solving”. Instead of creating very specific algorithms targeting specific problems, it is being asked: “Can we have systems that intelligently learn from the available data – and also adapt themselves to changing situations?” Big Data techniques address the issue of handling very large data in order to extract actionable intelligence.  Thus Data Analytics is the “brain” while Big Data is the muscle power!

Mastering Big Data analysis will create a strong foundation for facing the data challenges of the near and the far future, and position you for a promising professional future! SPARK and Hadoop (2.X) are the tools that will help you understand and master Big Data analysis.

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.

WHO SHOULD ATTEND

• Senior Managers, Managers and Team Leaders tasked with the responsibility of Big Data data analytics
• Professionals who intend to seriously consider Data Analytics as their career option
• Project Managers who would like to bid for Data Analytics projects and lead the delivery teams
• IT administrators likely to be tasked with the responsibility of Hadoop installation and maintenance.
• Marketing and Sales professionals who would like to understand what Big Data, Data Analytics and Machine Learning is all about – and package such offerings 

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

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.

BENEFITS FOR ORGANISATIONS

• Build a team with a view to harness availability of data for business growth
• Offer data oriented products and services
• Create experts who can further spread their learning into the organisation