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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 Big Data

Big data has thus created opportunities like never before. Professionals who can analyze all this data & create useful information are highly sought after by companies across the world


Hadoop is a software framework for storing and processing Big Data. It is an open-source tool build on java platform and focuses on improved performance in terms of data processing on clusters of commodity hardware.

  • Hadoop comprises of multiple concepts and modules like HDFS, Map-Reduce, HBASE, PIG, HIVE, SQOOP and ZOOKEEPER to perform the easy and fast processing of huge data
  • Hadoop conceptually different from Relational databases and can process the high volume, high velocity and high variety of data to generate value

    Software Engineers, who are into ETL/Programming and exploring for great job opportunities in hadoop.
    - Managers, who are looking for the latest technologies to be implemented in their organization, to meet the current & upcoming challenges of data management.
    - Any Graduate/Post-Graduate, who is aspiring a great career towards the cutting edge technologies​ in IT​.


    Prerequisites for learning Hadoop include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in Hadoop. We provide a complimentary Course "Java Essentials for Hadoop" to all the participants who enroll for the Hadoop Training. This course helps you brush up your Java Skills needed to write Map Reduce programs.

    BIG DATA HADOOP PRO package:

    Day Topic What I will learn
    Day -1 Introduction to Unix & PYTHON Getting started with fundametals of programming:
    Python for data processing
    unix for CLI Commands
    Day - 2 & 3 Introduction to JAVA Essentials for parallel programming:
    Java for Map Reduce
    SQL for Hive
    Day - 4 & 5 Introduction to HDFS & SQOOP Big Data Storage: HDFS
    Structured Data Ingestion : Sqoop
    Day - 6 & 7 Map-Reduce and its assignment Parallel programming on scalable Machines: Map Reduce
    Mastering Key Value Pairs : Case Study
    Day - 8 & 9 SPARK + Python & Case Study (LOG ANALYSIS) Lighting Fast In Memory Cluster Computing : Spark
    Batch Processing Historical data: Log Analysis; Ecommerce Industry
    Day - 10 HIVE Data warehousing, Management and querying on hadoop: Hive
    Web Interface for analyzing data: Hadoop User Experience (HUE)
    Day - 11 PIG Data Flow ETL Scripting Language : Pig
    Day - 12 Oozie Work Flow Management Tool: Oozie
    Day - 13 Project I [Retail DOMAIN] Using all above tools MIS Reporing and ELT on Hadoop: Retail Domain
    Day - 14 HBase Random Read and Write Access, OLAP, NoSQL Database: Hbase
    Day - 15 Project II [Banking DOMAIN] With new Tools like Drill & HUE Customer 360 & Genome: Banking sector


    Day Topic What I will learn
    Day - 1 FLUME & IMPALA + Spark Streaming Structured Data Ingestions, Semi structured processing
    Day - 2 & 3 R Integration with Hadoop Real Time Analytics, Unstructured Data Ingestion
    Day - 4 MongoDB An open source database that uses a document-oriented data model
    Day - 5 Cloudera CCA-175 Certification Guidance (Online) Exam pattern, Imp topics to be discuss


    Extensive Classroom Training

    12 days Classroom (60 hrs)+ 3 days Online Training(Java, Unix & Python)

    Live Project

    We will provide 2 data sets to work on real live projects

    Online Materials

    -Topic Wise study material in the form of Presentation and Case Studies
    -PowerPoint Presentation covering all classes
    -Code files for each case study
    -Recorded Videos of Live Instructor based Training
    -Recorded Videos Covering all classes
    -Quiz/Assignment with detailed answers and explanation
    -Job Oriented Questions to prepare for Certification Exams
    -Doubt solving forum to interact with faculty & fellow students

    Complimentary Course

    "Java Essentials for Hadoop", Python and UNIX session

    24x7 Online Access

    Access to Course Material (Presentations, etc.)s


    City Date Address Phone
    (Toll Free)
    Bangalore 25th June Sanctum Technology Pvt Ltd, #114, Al-Azeem Center, Opp. Raheja Arcade, Above Food World, Koramangla, Bangalore - 560095 18002005835
    Delhi 21st May EduPristine,#44,2nd Floor Regal Complex Outer Circle Connaught Place 18002005835
    Hyderabad 25th June Mirra Trade Centre, Panjagutta,Ethames Degree College, Hyderabad- 500082 18002005835
    Pune 4th June SCDL-1065, Gokhale Cross Road, Model Colony, Pune 18002005835
    Mumbai 13th May 7th Floor, 702, Raaj Chambers, Old Nagardas Road, Near Andheri Subway, Andheri East 400069 18002005835
    Kolkata 25th June Camac Street, Kolkata 18002005835
    Chennai 28th May Redsun Softech Pvt. Ltd. Temple Tower, 672 Anna Salai Nandanam, Chennai Tamil Nadu 18002005835
    Mumbai-Thane 15th oct 1st Floor, Karnavat Classes, Lohar Lane, Opp Nagrik Store, Next to Kunj Vihar, Near Railway Station, Thane West 421504 18002005835
    Big Data Hadoop Training Highlights
    Fees Rs 27,100 Rs 36,500
    12 Days Classroom Training (60 Hours)
    90 days of access to EduPristine Virtual Lab for MultiNode Cluster
    10 hrs. Live Projects
    Hadoop Definitive Guide
    Topic wise PowerPoint Presentation covering all classes
    Recorded Videos of Live Instructor based Training
    Discussion Forum
    24x7 One year access on material and Support
    Certification of completion & excellence from EduPristine
    Additional 5 days Training on Advance Tools (Classroom)
    Guidance session on Job roles, Resume preparation & modification (Online)
    Cloudera (CCA-175) Exam Guidance (Online)  
    Buy Buy


    This course is designed for professionals aspiring to make a career in Big Data Analytics using Hadoop Framework. Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals and IT freshers are the key beneficiaries of this course. The prerequisites for learning Hadoop include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in Hadoop. We provide a complimentary Course "Java Essentials for Hadoop" to all the participants who enroll for the Hadoop Training.

    Yes, it is a complete classroom session wherein the Hadoop industry experts will be teaching you Hands-on the software itself. It is in-all a 6 weekend course which includes practical training on Software as well as a Live project related to Hadoop.
    All our instructors are working professionals from the Industry, working in leading organizations and have real world experience in Hadoop. All these folks are experienced and trained by Edupristine for providing training so that they can provide a great learning experience.

    The classes are held on Weekends. Depending upon your batch, your classes will conduct on Saturdays or Sundays for 5 hrs on each day.Towards the end of the 6 week schedule, you will undergo a training project and your Exam at the end of the course.
    In no event you will lose a lecture forever. The recorded session for the class will be available on the LMS for your reference. Moreover, you can also choose to attend the live class again with a upcoming Batch.

    Once you join the course, your support will be for a life time. Even after the course completion, you can get back to the support team for any queries that you may have.

    This is very much possible and you can pace it according to your needs. Plus we provide you a complimentary 'Java Essentials for Hadoop', an asset of 3 video lectures which you can cover in the first 2 weeks of the course before we reach the MapReduce portion of the course.the 24*7 support will be available for 'Java Essentials for Hadoop'.

    All your class recordings and other content like PPT's are uploaded on the LMS, to which you have a life time access. You may also choose to download this content for offline reference. Moreover, this ensures that when you will start with your actual Batch, the concepts explained during the classes will not be totally new to you. You will be in the position to ask the right questions and get the most out of the course.

    The Hadoop course at EduPristine is an 7-weekend course. Yes, towards the end of the Course, you will be working on a Training project. This will help you understand how the different components in Hadoop are related to each other and how is the data flow between the different components.

    Yes, we provide our own Certification. At the end of your course, you will work on a real time Project. You will receive a Problem Statement along with a data-set to work. Once you are successfully through the project (Reviewed by an expert), you will be awarded a certificate.

    If you are not able to clear the Certification exam in 1st attempt, you can take extra assistance for any of your doubts to understand the concepts better and reappear for the Certification exam.

    No, there is no extra charge for Reattempting the Certification Exam.

    Yes you can install Hadoop on Mac using the VMPlayer but VMplayer is not free and the cloudera distribution on Mac has some limitations. We can solve this by giving you remote access to our cluster. System Requirements - RAM: 4 GB; Processor: 64 bit processor

    I have around experience in software development. What are the career prospects in Hadoop?
    Hadoop is one of the hottest career options available today for software engineers. There are around 12,000 jobs currently for Hadoop developers and demand for Hadoop developers is far more than the availability.


    Enrolling for the Big Data course at Edupristine has been a very good choice as the institute has provided an extensive and in-depth knowledge on the topic. The classes and the study materials have been very helpful. Our instructor was truly the best at delivering the Hadoop knowledge; He always ensured that all our queries are answered and no student be left with a single doubt. The organizers at Edupristine have been extremely co-operative.

    Overall it was a good experience, being part of the BigData batch. All thanks to our faculty. He made each class very interesting, rather than those typical monotonous slide oriented sessions.He took extra pain to teach us some concepts beyond the syllabus, and was not teaching just for the sake of completing the syllabus.

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