Greens Technologys has been awarded as the Best Hadoop training center in chennai located in adyar Big Data and Hadoop – Growth for Outsourcing in India - Greens Technologys
Five years ago, Hadoop came roaring into the mainstream as the solutions to all big data problems. Now that reality has settled in, it's time for a more realistic
IT is a lucrative career option offering high paying jobs but it is an ever changing job market. Big Data Hadoop training in chennai skills are most sought after as there is no open source framework that can deal with petabytes of data generated by organizations the way hadoop does. 2014 was the year people realized the capability of transforming big data to valuable information and the power of Hadoop in impeding it. With Hadoop becoming the go-to technology for big data processing, it is overwhelming different innovations across various industries. As the Indian Big Data Hadoop industry anticipated to grow by five-fold in the next few years, 2015 will sense an increased temptation of excellent job prospects for professionals with big data skills in the analytics sector. Take a look at how is the future demand and job market for Big Data Hadoop skills in India.
If you’ve been in the analytics industry for more than a handful of years, this smacks of déjà vu. More than two decades into its existence as a discrete segment, the business intelligence (BI) market continues to agonize over low adoption rates among mainstream knowledge workers. Perhaps BI -- or Hadoop or any other big data segment -- was not fated to be as ubiquitously adopted as, say, smartphones.
That doesn’t mean Hadoop can’t develop into a hugely important and lucrative segment within its own well-defined niche. After all, nothing’s stopping a mature person from growing rich and popular as their hair fades to gray. Greens Technologys has been awarded as the Best Hadoop training institute in chennai located in adyar
What is the next big thing after big data?
The next step has two components: data integration, and "big little data", i.e. the tremendous proliferation of small data sets across the web.
The success of big data has been in finding correlations and trends only discernible across a large dimension like time or population. But even the largest of the big data sets are a small fraction of all data, and any one data set only reveals a small facet of a broader story. Data integration enables combining disparate data sets along their common facets. A few examples include augmenting your data with sentiment data, government inflation / jobs / demographics or other published metrics, and data from predictive models to help plan for customer demand and infrastructure needs.
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.
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″
