Boost your career with
Big Data Hadoop Developer Course
with 100% Placement Assistance

  • 15 Days of JAVA, 30 days of Hadoop & 15 days of Project
  • Java Essentials for Hadoop complimentary course
  • 48 hrs of Classroom Sessions
  • 48 hrs of Practical assignments
  • 25 hrs of Live Project
  • Availability of highly Skilled Trainers
  • Industry Oriented Course curriculum
  • Free Wifi & Latest Study Material
  • Well equipped A/C rooms
  • Limited Batch Strength (Maximum 8)
  • Focus on hands on/practicals
  • Course Completion Certificate
  • Resume Preparation Support
  • Mock Interviews & Backup Classes
  • Doubt Clarification Support after the course
  • Regular Batch ( Morning, Day & Evening)
  • Weekend Training Batch ( Saturday & Sunday)
  • Fast Track batch

Questions ?

 


Batches

July

24th, 2017

July

22nd, 2017

  1. What is Big Data?

    A huge set of complicated structured and unstructured data is called as Big Data that cannot be processed using traditional computing techniques. Big data is not merely a data, rather it has become a complete subject, which involves various tools, technqiues and frameworks. Big data involves the data produced by different devices and applications. Given below are some of the fields that come under the umbrella of Big Data.
    Social Media Data : Social media such as Facebook and Twitter hold information and the views posted by millions of people across the globe.
    Stock Exchange Data : The stock exchange data holds information about the ‘buy’ and ‘sell’ decisions made on a share of different companies made by the customers.
    Power Grid Data : The power grid data holds information consumed by a particular node with respect to a base station.
    Search Engine Data : Search engines retrieve lots of data from different databases.

  2. Why Big Data?

    Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers. In his report Big Data in Big Companies, IIA Director of Research Tom Davenport interviewed more than 50 businesses to understand how they used big data. He found they got value in the following ways:
    1. Cost reduction: Big data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to storing large amounts of data – plus they can identify more efficient ways of doing business.
    2. Faster, better decision making: With the speed of Hadoop and in-memory analytics, combined with the ability to analyze new sources of data, businesses are able to analyze information immediately – and make decisions based on what they’ve learned.
    3. New products and services: With the ability to gauge customer needs and satisfaction through analytics comes the power to give customers what they want. Davenport points out that with big data analytics, more companies are creating new products to meet customers’ needs.

  3. What is Hadoop?

    Hadoop is an open source framework from Apache and is used to store process and analyze data which are very huge in volume. Hadoop is written in Java and is not OLAP (online analytical processing). It is used for batch/offline processing. It is being used by Facebook, Yahoo, Google, Twitter, LinkedIn and many more. Moreover it can be scaled up just by adding nodes in the cluster.

  4. Top Reasons to enroll for Hadoop Training!

    1. Accelerated Career Growth and Opportunities
    About 90% of business and organizations (Multi-National) have pledged to allocate medium to huge investments in Big Data analytics and technologies - According to Forbes report on the state of Big Data Analytics. A majority of the global organizations have reported a significant impact on revenue growth and business development after incorporating Hadoop technologies in their organizations. Technology with such advantages and growth will assure the professionals to grow.
    Big Data Professionals who have decided to migrate to Hadoop from other technologies can also be benefited with accelerated career growth.
    2. Hadoop skills boast salary packages!
    According to Indeed, average salary paid to Hadoop Developer is around $102,000. This is among the best salaries paid to professionals across the world. Being said that Hadoop is successful in attracting more global organizations, the possibilities for Hadoop professionals to earn good salary is positive. In another survey by Dice, Big data professionals were earning $89,450 on an average which is much higher than the preceding year.
    3. Flooding Job Opportunities!
    It is inevitable to stop the job opportunities and demand for Hadoop skilled professionals. In a report from Forbes, there is nearly 90% increase in the demand for big data professionals in the year 2014 and there is a significant probability for a further leap. The Majority of career experts and analysts proposed that the job market Big Data professional is not a short-living phenomena but a stable market to stay long enough.
    4. Top Companies around the world into Hadoop Technology
    World's top leading companies such as DELL, IBM, AWS (Amazon Web Services), Hortonworks, MAPR Technologies, DATASTAX, Cloudera, SUPERMICR, Datameer, hadapt, Zettaset, pentaho, KARMASPHERE and many others have implemented Hadoop technologies. This number keeps increasing every day for constant reputation for the flexibility and cost-effective factors of Hadoop.

What We Offer

48 Hrs Of Classroom Sessions

We deliver 24 classes highly interactive session, each of 2 hours duration. If you miss out a class, you can compensate by attending the session in a future batch.

48 Hrs Of Practical Assignments

Each module ends with a quiz and an assignment to test your practical knowledge and technical skills. The assignment will include processes like installing Hadoop, running HDFS commands, executing MapReduce jobs, using PIG or Hive to analyse a data set, running HBase queries, using Flume and Sqoop to load data into HDFS. These assignments are aimed at giving you a clear cut idea of the concepts.

25 Hours Project Assignment

At the end of the course, you will be given a final project to polish the technology skills you have acquired with us. You will receive a large data set which needs to be analysed rightly. You have to use Flume, Sqoop to load data into HDFS, use Hive, Pig and Hbase to analysis of data and Oozie to schedule your Hadoop jobs. By going through this project, you get a comprehensive idea on Hadoop as a whole.

In-depth and All-inclusive Curriculum

Team of professional who have good experience in Bigdata Hadoop development industry has checked our course curriculum in detail and approved it. We ensure to update and shape it every time to give the most in-depth course curriculum to our candidates.

Career Mentorship

Highlighting your skills in the right way can win you the right place. Our faculty will give proper guidance to you in creating a professional resume spotlighting your technical skills. They will also steer you through mock interviews and a winning career plan.

Hadoop Course Objective

    The key objectives of this Big Data Hadoop Tutorial and training program are to enable developers to:
  1. Big Data introduction and Hadoop Fundamentals
    Become the mastery of HDFS and MapReduce framework
    Learn to write MapReduce programs in Java
    Installation of Hadoop tools and setup of single Hadoop cluster
    Loading data techniques using Sqoop and Flume
    Introduction of Hadoop Ecosystem
    Perform data analytics using Pig and Hive Hadoop Component
    Implementing the NOSQL concepts like HBASE and MongoDB
    Basics of advanced Hadoop topics including Oozie, Zookeeper
    Differentiate various commercial distributions of Big Data like Cloudera and Hortonworks
    Hands on experience with assignments and huge data sets projects.

Know About your Trainer

  1. 12+ years of work experience in Top MNC, which includes experience in Installation, Development and Implementation of Hadoop solutions
    Experience in dealing with Apache Hadoop components like HDFS, MapReduce, HiveQL, HBase, Pig, Sqoop, Big Data and Big Data Analytics
    Hands on experience in MapReduce jobs. Experience in installing, configuring and administrating the Hadoop Cluster of Major Hadoop Distributions
    Hands on experience in installing, configuring and using echo system components like Hadoop, MapReduce, HDFS, Hbase, Zoo keeper, Hive, Sqoop and Pig
    Conducted trainings for Students and Corporates across Bangalore
    Possess excellent communication, interpersonal and analytical skills along with positive attitude
    Trained over 2000+ professionals in Big Data & Hadoop in various companies across different domains

our training process

Projects Developed by Our Students

FAQ's

  1. What is the importance of BIGDDATA AND HADOOP training?

    With the world becoming internet- savvy, websites that start using Hadoop are mushrooming in number. Hadoop is used to analyse terabytes of generated data even by Facebook, Twitter, Salesforce, eBay and Yelp. This increases the demand for Big Data and Hadoop developers who can dexterously analyse the data. Our Codefrux certification in Big Data and Hadoop is expected to fill in the shortage of good developers in this field. Your industry skills as well as chances for a winning career are sharpened by our competent course. By the time you finish the course, you will have a good command over Hadoop, HDFS, Map-Reduce, HBase, Hive, Pig and Sqoop, flume, Oozie, ZooKeeper etc.

  2. HOW DO JAVA KNOLWDGE HELP TO LEARN HADOOP?

    Working knowledge in any of the programming languages like C, C++, PHP, Python, PERL, .NET, Java will surely help to navigate through the course. Experience in SQL will also be an added advantage. Those who don’t have Java background don’t worry! We will initiate a free Java course for you. We have a Faculty and Assistant Faculty all set to assist you and refresh your skills in Java.

  3. What kind of Lab and Project exposure do I get?

    This course provides you with 48 hrs of Classroom Sessions,48 hrs of Practical assignments and 25 hrs of Live Project.
    You can run the lab exercises locally on your machine (installation docs will be provided) or login to Codefrux's AWS servers to run your programs remotely. You will have 24/7 support to help you with any issues you face. You will get lifetime access to Codefrux's AWS account.
    The project will provide you with live data from Twitter, NASDAQ, NYSE etc and expect you to build Hadoop programs to analyze the data.

  4. Who will be my faculty?

    At Codefrux we realize that there are very few people who are truly "Hadoop experts". So we take a lot of care to find only the best. Your faculty will be deeply technical and is currently working on a Hadoop implementation for a large technology company. Students rate their faculty after every module and hence your faculty has grown through a rigorous rating mechanism with 65 data points.

  5. WHAT ARE THE PROSPECTS OF A GOOD CAREER FOR ME?

    You can be a Hadoop Developer, Hadoop Architect, Hadoop Tester or a Data Scientist with respect to your skills and technical inclination.
    HADOOP DEVELOPER
    The role of a Hadoop developer is equivalent to that of a software developer or application developer. The only difference is that a Hadoop developer works in the Big Data domain. Responsible for the actual coding/programming of Hadoop applications, an ideal candidate should have a minimum of 2 years experience as a programmer.
    HADOOP ARCHITECT
    It is a Hadoop Architect who skillfully plans and designs the next-gen ‘big data’ system architectures. The development and deployments processes of Hadoop applications are also managed by him/her. Thorough subject matter expertise and hands on delivery experience working on popular Hadoop distribution platforms like Cloudera, Hortonworks, MapR etc. are essential.
    HADOOP TESTER
    A Hadoop tester should be a skilful troubleshooter and bug-finder in Hadoop applications. A Software Tester ensures that the application runs smooth and error-free under all scenarios. Likewise, a Hadoop Tester makes sure that the MapReduce jobs, the Pig Latin scripts, the HiveQL scripts etc. are working perfectly without any hassle.
    DATA SCIENTIST
    'Data Scientist’ has become the most ‘Magical’ and much sought after job title of the 21st century. Significantly, Data Scientists deal with real-time problem solving using real data. Dexterous in employing multiple data analyzing techniques from different sources, they become sculptors of insightful decision-making for businesses. They will have the right mix of knowledge in software engineering and applied sciences.

  6. WHAT KIND OF PLACEMENT ASSISTANCE CAN WE EXPECT FROM YOU?

    We assure that you will be properly armed for a lucrative career once you finish the course successfully.
    Assist you to create a spotless and professional resume highlighting your technical skills in Hadoop
    Introduce you to mock interviews & frequently repeated interview questions
    Offer proper career guidance
    Inform on prospective employers and vacancies
    Phone-in schedule: A 30-minute phone call scheduled to clarify all your doubts
    Skype assistance: A vis-à-vis Skype session to run over your queries

  7. I HAVE A GOOD PROGRAMMING BACKGROUND. WHICH COURSE IS SUITABLE FOR ME?

    As you have a programming background like Java, C, C++ etc, we suggest you to go for the Hadoop Developer course for better career opportunities.

  8. I AM FROM DATABASE / BUSINESS INTELLIGENCE / DATA WAREHOUSING / MAIN FRAMES BACKGROUND. CAN YOU SUGGEST THE RIGHT COURSE FOR ME?

    Hadoop Data warehouse / Analyst course will be the best choice for you if you have the basic knowledge of SQL.

  9. I HAVE 6+ YRS OF EXPERIENCE. NOW I WANT TO MASTER MYSELF IN HADOOP. WHAT ARE THE RIGHT COURSES FOR ME?

    We strongly recommend our Hadoop Developer, Analyst and Admin courses for you if you have 6+ years of experience or an architect. This will definitely give you concrete ideas on the end-to-end Hadoop concepts. These courses will make you on par with a Hadoop Architect with 6 months’ experience.

  10. I DREAM IS TO BECOME A BIG DATA ARCHITECT. WHAT COURSES DO YOU RECOMMEND?

    You can definitely choose Hadoop Developer / Analyst / Admin and no-SQL-courses like - Cassandra, HBase. You may need to start off with Hadoop and then go on with no- SQL-courses.

  11. IS THERE ANY OFFER / DISCOUNT THAT I CAN AVAIL?

    Yes. We have multiple offers for you. For details, please call to the following nos:
    +91-80-41714862/63

  12. WILL I GET THE NECESSARY SOFTWARE?

    Yes, you will get the required software in downloadable format from the link we provide.

  13. WHY SHOULD I LEARN HADOOP FROM CODEFRUX INSTEAD OF OTHER PROVIDERS?

    Big data hadoop is significantly changing the way most of the industries work.We at Codefrux Technology understand the changing needs and designed the most comprehensive and in-depth Big Data Hadoop training that is designed by big data hadoop consultants.The course is designed with more practicle examples and equip students to build career in big data hadoop.

  14. HOW EFFECTIVE IS LEARNINGTO MASTER THE CONCEPTS OF HADOOP?

    We do constant research on ways to update our courses and the feedback from our previous batches (both offline and) clearly states that learning is more helpful and effective compared to the offline course.
    The benefits of course over the offline learning:
    o Instant clarification of doubts
    o Expertise of an experienced and outstanding faculty
    o No need to travel to attend classes
    o Get lifetime access to quality course contents

  15. HOW DO I CONTACT THE FACULTY TO CLEAR DOUBTS?

    When it comes to clearing doubts, you can choose any of these two methods:
    o Direct clarification by the faculty during the class room session.
    o Contact the trainer who will answer your queries instantly.