Big Data and Hadoop Certification Training from Greens Technologys

Big Data and Hadoop Training in Chennai from 

Greens Technologys

What is Big Data?

Big data describes a holistic information management strategy that includes and integrates many new types of data and data management alongside traditional data. Learn Hadoop training in Chennai from the Best Hadoop training institutes in Chennai.

Big Data and Hadoop

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Big data is a buzzword, or catch-phrase, used to describe a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques. In most enterprise scenarios the volume of data is too big or it moves too fast or it exceeds current processing capacity. Despite these problems, big data has the potential to help companies improve operations and make faster, more intelligent decisions.

Big Data and Hadoop online training course is designed by Industry Experts to provide in-depth knowledge and practical skills to make you successful Big Data and Hadoop Developer.

About Big Data Hadoop training in Chennai

Big Data Hadoop course helps you learn the core techniques and concepts of Big Data and Hadoop ecosystem. Learn architecture and concepts of HDFS, Hadoop Cluster setup, Map-Reduce, Hadoop 2.x, Flume, Sqoop, Pig, Hive, HBase, Oozie etc. to become leader in this field. The course is designed in a format that meets your convenience, availability and flexibility needs.

Course Objectives

• Lead you on the path to become a certified Hadoop professional
• Prepare to lead Hadoop movement and become employable in Big Data Industry
• Learn how to Develop Game-Changing Hadoop Applications
• Understand Hadoop Architecture
• Master the concepts of Hadoop Distributed File System (HDFS)
• Advanced features in Hadoop 2.x – HDFS Federation, NameNode High Availability
• Setup Hadoop on single and multi-node Cluster (on Amazon ec2)
• Master the concepts of Map-Reduce framework
• Program in Map-Reduce (Both MRv1 and MRv2)
• Learn advance Map-Reduce Concepts and internal dataflow
• Play with Datasets (Twitter data set for sentiment analysis, weather dataset, Sales dataset, etc.) and learn to write Complex Map-Reduce programs
• Master the concepts of YARN
• Perform Data Analytics using Pig and Hive
• Understand Data Loading Techniques using Sqoop and Flume
• Implement HBase, Map-Reduce Integration, Advanced Usage and Advanced Indexing
• Have a good understanding of ZooKeeper service
• Implement best Practices for Hadoop Development and Debugging
• Design and develop applications involving large data using Hadoop eco system
• Work on a Real Life Project on Big Data and gain hands-on Experience

Recommended Audience

• Experienced Professionals and Freshers aspiring to make career in Big Data Analytics using Hadoop Framework
• Developers, Programmers, ETL Developers, Data warehouse Developers, Testing Professionals
• Business Analysts, BI consultants (SAP, Jaspersoft, Cognos, etc), Analytics Professionals, IT managers, SAAS Professionals, DBAs,
• Team Leads, Project Managers, General Managers, Architects, Delivery Heads, CXOs
• Other professionals who are looking forward to make a shift in Big Data technologies and future proof their career

Pre-requisites

• Basic programming skills in Core Java. We will provide you a complimentary self-paced Java course for the same. This course will help you to learn Java concepts required to write Map-Reduce Jobs
• Basic knowledge of Linux Commands. We will provide you Linux material, which will help you while setup and configuration of Hadoop
• Good Analytical skills to grasp and implement the concepts in Big Data and Hadoop

Project Work

During the Course you will be working on several POCs while towards the end, you will be working on a live project (Real Life Business Case). During which you will be working on Hadoop and eco-system to perform Big Data analytics. The project will be based on large volumes of data. There are huge volumes of open datasets are available like twitter data, stack exchange data, weather data, NYC data, etc. the same will be used in the project.

Why learn Hadoop?

We create 2.5 quintillion bytes of data every day. So much that 90% of the data in the world today has been created in the last two years alone (Source: IBM). These extremely large datasets are hard to deal with using legacy systems such as RDBMS as data exceed the storage and processing capacity of database. The legacy systems are becoming obsolete.
According to Gartner: “Big Data is new Oil”. Big Data is all about finding the needle of value in a haystack of Structured, Semi-structured and Un-structured data. Hadoop (the Solution of All Big Data Problems) has become the most important component in the data stack, which enables rapid processing of data at petabyte scale. Hadoop is expected to be at the core of more than half of all analytics software within the next two years.

Grab the Opportunity

The demand for Big Data developers is outpacing the global supply as Hadoop becomes the predominant platform for data management and analytics.
According to Mckinsey: “The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.”
Gartner says “Big Data will create over 4 million jobs by 2015”
GE says “Big data is the future of industry”
IDC Says, “Big Data market will be growing 6 times faster than the overall IT market”
Experfy says, “Hadoop will grow at CAGR of 58%, will reach $50 billion by 2020″