What is Big Data?
Big Data is collection of huge or massive amount of data.We live in data age.And it’s not easy to measure the total volume of data or to manage & process this enormous data. The flood of thisBig Data are coming from different resources.
Such as : New York stock exchange, Facebook, Twitter, AirCraft, Wallmart etc.

Today’s world information is getting doubled after every two years (1.8 times).
And still 80% of data is in unstructured format,which is very difficult to store,process or retrieve. so, we can say all this unstructured data is Big Data.

Why Hadoop is called Future of Information Economy?
Hadoop is a Big Data mechanism, which helps to store and process & analysis unstructured data by using any commodity hardware.Hadoop is an open source software framework written in java,which support distributed application.It was introduced by Dough Cutting & Michael J. Cafarellain in mid of 2006.Yahoo is the first commercial user of Hadoop(2008).
Hadoop works on two different generation Hadoop 1.0 & Hadoop 2.0 which, is based on YARN (yet another resource negotatior) architecture.Hadoop named after Dough cutting’s son’s elephant.

Big Data Growth & Future Market
Commercial growth of BIG DATA and HADOOP
IBM is one of the giant user of Big Data.IBM 10% (Million$ 1036)revenue come from Big Data.

Other top five company revenue from Big Data: HP Million$ 664, Teradeta Million$ 435, Dell Million$ 425 ,Oracle Million$ 415, SAP Million$ 368.

Did you know that in the next 3 years more than half of the total data in the world would move to Hadoop? No wonder that at PrwaTech we have estimated a shortage of nearly 1.7 million Big Data professionals in coming 3 years.

Considering the shortage of Hadoop Training Placement and Big Data professionals with the help of this Bigdata Hadoop Training, IT/ ITES professionals can seize lucrative opportunities and enhance their career by gaining desired Big Data Analytics skills. In this Big Data Hadoop Course attendees will get in detail practical skill set on Hadoop, including its latest and core components, like MapReduce, HDFS, Pig & Hive, Jasper, Sqoop, Impala HBase, Zoopkeeper, Flume, Oozie, Spark and Storm. For extensive hands-on practice, in both Hadoop Training Classes and Hadoop Developer Training participants will get full access to the virtual-lab and numerous projects and assignments for for Hadoop Certification Courses.

Learning Objectives: At the end of Hadoop Developer Training course, participants will be able to:
Completely understand Apache Hadoop Framework.
Learn to work with HDFS.
Discover how MapReduce works with data and processes it.
Design and develop big data applications using Hadoop Ecosystem.
Learn how YARN helps in managing resources into clusters.
Write as well as execute programs in YARN.
Implement MapReduce Integration, HBase, Advanced Indexing and Advanced Usage.
Work on assignments.
Recommended Audience for Bigdata Hadoop Training:
IT Engineers and Software Developers
Data Warehouse Developers, Java Architects, Data Analysts and SAAS Professionals
Students and Professionals aspiring to learn latest technologies and make a career in Big Data using Hadoop.
Recommended Audience for Bigdata Hadoop Training:
Good analytical skills
Some prior experience in Core Java
Fundamental knowledge of Unix
Basic knowledge of SQL scripting
Prior experience in Apache Hadoop is not required
Enroll for expert level Big Data Hadoop Course and Online Hadoop Training From India to build a rewarding career as certified Hadoop developer. Our Hadoop Developer Training course material and tutorials are created by highly experienced instructors. Once you have registered with PrwaTech you will have complete access to our Hadoop video tutorials, course materials, PPT’s, case studies, projects and interview question.

Job Titles for Hadoop Professionals
Job opportunities for talented software engineers in fields of Hadoop and Big Data are enormous and profitable. Zest to become proficient and well versed in Hadoop environment is all that is required for a fresher. Having technical experience and proficiency in fields described below can help you move up the ladder to great heights in the IT industry.

Hadoop Architect
A Hadoop Architect is an individual or team of experts who manage penta bytes of data and provide documentation for Hadoop based environments around the globe. An even more crucial role of a Hadoop Architect is to govern administers, managers and manage the best of their efforts as an administrator. Hadoop Architect also needs to govern Hadoop on large cluster. Every HAdoop Architect must have an impeccable experience in Java, MApreduce, Hive, Hbase and Pig.

Hadoop Developer
Hadoop developer is one who has a strong hold on programming languages such as Core Java,SQL jQuery and other scripting languages. Hadoop Developer has to be proficient in writing well optimized codes to manage huge amounts of data. Working knowledge of Hadoop related technologies such as Hive, Hbase, Flume facilitates him in building an exponentially successful career in IT industry.

Hadoop Scientist
Hadoop Scientist or Data Scientist is a more technical term replacing Business Analyst. They are professionals who generate, evaluate, spread and integrate the humongous knowledge gathered and stored in Hadoop environments. Hadoop Scientists need to have an in-depth knowledge and experience in business and data. Proficiency in programming languages such as R, and tools such as SAS and SPSS is always a plus point.

Hadoop Administrator
With colossal sized database systems to be administered, Hadoop Administrator needs to have a profound understanding of designing principals of HAdooop. An extensive knowledge of hardware systems and a strong hold on interpersonal skills is crucial. Having experience in core technologies such as HAdoop MapReduce,Hive,Linux,Java, Database administration helps him always be a forerunner in his field.

Hadoop Engineer
Data Engineers/ Hadoop Enginners are those can create the data-processing jobs and build the distributed MapReduce algorithms for data analysts to utilize. Data Engineers with experience in Java, and C++ will have an edge over others.

Hadoop Analyst
Big Data Hadoop Analysts need to be well versed in tools such as Impala, Hive, Pig and also a sound understanding of the application of business intelligence on a massive scale. Hadoop Analysts need to come up with cost-efficient breakthroughs that are faster in jumping between silos and migrating data.

Want to learn the latest trending technology Big Data Hadoop Course? Register yourself for BigData hadoop training classes from the certified bigdata hadoop experts.

Hadoop developer is one who has a strong hold on programming languages such as Core Java,SQL jQuery and other scripting languages. Hadoop Developer has to be proficient in writing well optimized codes to manage huge amounts of data. Working knowledge of Hadoop related technologies such as Hive, Hbase, Flume facilitates him in building an exponentially successful career in IT industry.