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.

Contact Us +91 8147111254





Rs. 16000/-Enroll Now



Rs. 16000/- Enroll Now



Rs. 16000/- Enroll Now



Rs. 16000/- Enroll Now

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.

This module discusses the impact of Big Data Hadoop Course in the social life of people and its significant role. It also discusses how Hadoop is useful in processing and managing Big Data.

Topics: What is Big Data, Role Played by Big Data, Map reduce, Hadoop Components, Name Node, Hadoop Architecture, Job Tracker, HDFS.

The module helps in getting a clear understanding of the roles of Multiple Hadoop Server like DataNode and NameNode along with MapReduce data processing.

The topics covered include Hadoop Initial Configuration and Installation, Installing Hadoop Customers, Anatomy of Read and Write, Data Processing and Replication Pipeline.

This module in the Big Data Hadoop Course helps in understanding standard Cluster Administration activities like Removing and Adding Data Nodes, Configuring Backup, NameNode Recovery and Hadoop Upgrade.

Topics: Black list and white list data nodes in cluster, setting Hadoop Backup, Recovery and Diagnostic.

The Basics and the Implementation of Map-Reduce:
This module discusses the Map Reduce structure and the procedure of implementing Map Reduce on data stored in HDFS.
The topics covered include Map Reduce ideas, reducer, mapper, driver, record reader and input split.

This module covers a clear understanding of importing and exporting data from RDBMS to HDFS, everything about Sqoop.

The importance of using Sqoop, the provision of Hive Metastore, Sqoop features, Sqoop connectors, Sqoop performance benchmarks, everything about Flume and the import of data with the use of Flume.

HQL and Hive with Analytics

This module discusses data warehouse package that analyses structure data. It is also discusses about loading data and installing Hive along with the storage of data in various tables.

Topics covered are Hive Services, Hive Web Interface, Hive Shell, Differences between DISTRIBUTE By, SORT By and ORDER By, Types of Primitive Data, Different Methods of Operating Hive, Analysis of Log on Hive and Exercises.

This module helps in getting a clear understanding of the Advance Hive ideas like UDF. The learners also get in-depth knowledge of HBase, the process of loading data in HBase and the use of query data from HBase.

The topics covered are User Defined Functionalities, Data Manipulation Using Hive, Hive Scripting, MapReduce Integration, HBase Architecture, HBase Introduction.

The module covers different concepts of Advance HBase. Learners also get to know about ZooKeeper and how ZooKeeper helps in cluster monitoring.

Topics: Advanced Usage of HBase, Advance Indexing, Schema Design, Data Model of ZooKeeper, Operations of ZooKeeper, ZooKeeper Implementation, Sessions, States and Consistency.

This module in the Big Data Hadoop Course helps the learners in understanding Hadoop 2.0 features like MRv2, YARN and HDFS Federation.

The topics covered are New Features of Hadoop 2.0, High Availability of NameNode.

This module helps the readers in understanding how different Hadoop ecosystem elements work together towards Hadoop implementation for solving Big Data issues.

Prwatech is the pioneer of Hadoop training in India. As you know today the demand for Hadoop professionals far exceeds the supply. So it pays to be with the market leader like Prwatech when it comes to learning Hadoop in order to command top salaries. As part of the training you will learn about the various components of Hadoop like MapReduce, HDFS, HBase, Hive, Pig, Sqoop, Flume, Oozie among others. You will get an in-depth understanding of the entire Hadoop framework for processing huge volumes of data in real world scenarios.

The Prwatech training is the most comprehensive course, designed by industry experts keeping in mind the job scenario and corporate requirements. We also provide lifetime access to videos, course materials, 24/7 Support, and free course material upgrade. Hence it is a one-time investment.

Prwatech basically offers the self-paced training and online instructor-led training. Apart from that we also provide corporate training for enterprises. All our trainers come with over 5 years of industry experience in relevant technologies and also they are subject matter experts working as consultants. You can check about the quality of our trainers in the sample videos provided.

If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers. The best part is that you can contact Prwatech even after completion of training to get support and assistance. There is also no limit on the number of queries you can raise when it comes to doubt clearance and query resolution.

Yes, you can learn Hadoop without being from a software background. We provide complimentary courses in Java and Linux so that you can brush up on your programming skills. This will help you in learning Hadoop technologies better and faster.

We provide you with the opportunity to work on real world projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various Hadoop components making you perfectly industry-ready. These projects could be in exciting and challenging fields like banking, insurance, retail, social networking, high technology and so on. The Prwatech projects are equivalent to six months of relevant experience in the corporate world.

Yes, Prwatech does provide you with placement assistance. We have tie-ups with 80+ organizations including Ericsson, Cisco, Cognizant, TCS, among others that are looking for Hadoop professionals and we would be happy to assist you with the process of preparing yourself for the interview and the job.

Bigdata and Hadoop Services

  • PowerPoint Presentation covering all classes
  • Recorded Videos Sessions On Bigdata and Hadoop with LMS Access.(lifetime support)
  • Quiz , Assignment & POC.
  • On Demand Online Support .
  • Discussion Forum.
  • Material
    • a. Sample Question papers of Cloudera Certification.
    • b. Technical Notes & Study Material.

Anupam Khamparia

Consultant, Cognizant Technology Solutions, Bangalore

“Excellent course and instructor. I learnt a lot in a short period. Good value for money. Instructor took us through Advanced Hadoop Development in depth.”

Anukanksha Garg

B.Tech. CSE

It was a nice learning experience with prwatech. The classes were well scheduled and managed.
Verma has good understanding of the topics taught and catered to our problems and doubts very patiently. The best thing about him was that he handled the situations accordingly, when needed a friend, he became one and also a teacher to always guide us.

Varun Shivashanmugum

Associate Consultant, ITC Infotech Ltd

“Faculty is good,Verma takes keen interest and personnel care in improvising skills in students. And most importantly,Verma will be available and clears doubts at any time apart from class hours. And he always keeps boosting and trying to increase confidence in his students which adds extra attribute to him and organization as well. and organization as well.

Mayank Srivastava
Hadoop Developer, L&T, Bangalore

“Really good course content and labs, patient enthusiastic instructor. Good instructor, with in depth skills…Very relevant practicals allowed me to put theory into practice.”

INR  16000

35 Hours
Practical 40 Hours
15 Seats
Course Badge
Course Certificate

Suggested Courses

Corporate Training Conducted & Our Clients

Live classes

Live online and interactive classes conducted by instructor

Expert instructions

Learn from our Experts and get Real-Time Guidance

24 X 7 Support

Personalized Guidance from our 24X7 Support Team

Flexible schedule

Reschedule your Batch/Class at Your Convenience