Big Data Hadoop Certification Training Course


Koenig Solutions offers Big Data Hadoop training courses that provide an in-depth knowledge of the 5 V’s of Big Data – Volume, Velocity, Variety, Variability, and Veracity. Big Data Analytics takes into account exabytes and petabytes of data and provides solutions to deal with the rapid flow of such huge amounts of data.

Big Data training is mapped to the Big Data Analytics certification course and includes Hadoop Data analyst training course. Students will also be trained on NoSQL and various features of Big Data Hadoop. You can choose to opt for Start with Apache Hadoop, Apache Hadoop Data Analyst, Career Enabler™: Mastering Apache Hadoop, and Hadoop Ecosystem Essentials with Use Case.


Cloudera Apache Hadoop Administration 4 Days ₹ 96,500
Apache Kafka On Request On Request
Using Oracle NoSQL Database On Request On Request
Apache HBase On Request On Request
E: Exam Included.
* Prices applicable only for Indian residents with residency proof. 18% GST additional.

Request More Information

Student Feedback  (Check Koenig Feedback on Trustpilot)

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?

Student Name Country Month Feedback Rating
Chetan Divani India Feb-2020 A2. the feedback mechanism , complete package for students and good environment.
Amol Vasudev Palav India Feb-2020 A2. Koenig is indeed good with center facilities like student canteen, co-ordination with students, feedback etc but for Indian students course price is way too much. Course are almost 3x times more costly than other institutes considering the fact that we are not paying in dollars, it's indeed expensive. I opt-in for unofficial course, lab facility I got was dead slow, just to restart my Hadoop cluster it was taking 7-8 minutes which is wastage of time esp when you have ~900 slides to cover. On the top of that I was not even getting week of lab access after the course in case I want to cover those exercises by myself as my internal labs were slow.
Rohit Pandey India Nov-2019 A2. Believe in long term relationship
Sreenivas Chowdarapu India Oct-2019 A1. Well prepared and presented with real life examples. Content is bit vast to cover in 4 days. May consider extending the duration by a day.
Tapan Aggarwal India Aug-2019 A1. Trainer was good, explained the topics clearly.
Ashok Bhimsing Sodha India Jul-2019 A1. Good exposure with different training
Bhavya Aggarwal India Jul-2019 A3. Yes
Hardip Singh Parmar India Jul-2019 A1. Have good knowledge for the training module, if we can get some additional real scenarios walk through on performance and troubleshooting then it will be best.
Seema Katakkar India Jun-2019 A2. Good food, facility is OK. Person coming to check and know if everything is okay or not and is there anything that an be improved was a good initiative
Aparna Rajamani Vasudevan India May-2019 A1. Trainer is technically strong and clear and able to deliver the training in clear organized way.
Hikmat Saud India May-2019 A3. yes sure, koenig will be my first choice as well as first selection for my future training ........
Toshko Vasilov India Oct-2020 to provide better experience on practice side, lab was too much slow
Mohamed Ahsan India Dec-2019 A3. sure
Sameer Shembavnekar India Jul-2019 A1. The training was satisfactory and would recommend to rest interested audience. Regarding the instructor, he was quiet helpful and co-operative ,from his end he shared the training material as well as his own material he prepared when I requested for.
Abdulkarim Alshunaibar India Jun-2019 A2. The individual training is very good

Who should do Big Data & Hadoop Training and Certification Courses?

  • Information Technology Managers
  • Data Scientists
  • Data Architects
  • Data Warehousing Professionals
  • Business Analysts
  • Database Administrators

Why learn Big Data and Hadoop?

The demand for Big Data and Hadoop is on a constant rise. Needless to say, Hadoop is one of the most cost-effective and efficient Open Source substitutes for Big Data management suites. Hence, Hadoop cannot be ignored if you wish to make it big in Big Data.

The Big Data market is expected to grow manifold as a lot of organizations are increasingly adapting to Big Data and Hadoop technologies for new market opportunities. Therefore, being proficient in Big Data and Hadoop provides better career opportunities and lets you earn big bucks.

How will Big Data Training help your career?

Career Opportunities for Big Data professionals are constantly emerging across all verticals as it is now being considered as a critical component of business performance. Employers across organisations are looking for professionals who can interpret and analyse data accurately and effectively. The problem lies in the availability of Big Data professionals. Though the demand is on a rise, the supply remains low. This high demand enables professionals with apt skills to bag higher salaries.

What are the objectives of Big Data, Hadoop & NoSQL Courses?

Upon completion of the course, you will be able to:

  • Identify technological developments pertaining to analytics, data warehousing, business intelligence and Big Data.
  • Understand how technologies such as Hadoop and NoSQL will help you create new opportunities for your organisation
  • Design Agile data business intelligence systems
  • Embed Big Data and analytics into your already existing business intelligence designs


Find Big Data Hadoop Certification in Popular Cities

Big Data Hadoop Certification in Delhi    |   Big Data Hadoop Certification in Bangalore



Big Data is a term given to large volumes of data pertaining to an organisation used to carry on operations and achieve certain goals. Hadoop is one of the tools designed to handle Big Data. Hadoop along with other software products analyses Big Data searches via appropriate algorithms and methods.

Big Data enables organisations to analyse the data and harness its potential. With the appropriate use of Big Data, organisations can identify smarter business moves, carry out more efficient operations and churn higher profits. Big Data technologies also help in cost reduction and enable organisations to introduce new services and products keeping in mind the customers needs. It further benefits organisations by making them understand the customer better and allowing them to control the overall reputation.

Skills required for a Big Data professional are listed below: 1. Knowledge of any programming language (Python is recommended) 2. Quantitative skills 3. Ability to interpret data 4. Experience with relational and non-relational database systems 5. Good understanding of business

Some of the tools and technologies used are listed below: 1. Apache Hadoop 2. NoSQL 3. Microsoft HDInsight 4. Hive 5. Cloudera 6. OpenRefine

Big Data systems are often called NoSQL databases as they do not rely on SQL query language used by RDBMS. NoSQL databases are majorly categorised into document, key/value, graph, big table, and time series among others. These databases help in increasing scalability and reducing costs. They also enable faster and more agile development, increased performance of organisations and high availability of database to get ahead with the read and write demands of the Big Data applications.

There are many recognised Big Data certifications that one can opt from. 1. Amazon Big Data Specialty Certification 2. Cloudera Certifications 3. MCSE: Data Management and Analytics 4. SAS Big Data Certifications 5. Microsoft Azure Certification Exam 70-475 6. Oracle Business Intelligence

Spark is an open source Big Data processing engine built around speed, ease of use and analytics. It comes with elegant development APIs to enable professionals to implement streaming, machine learning or SQL workloads requiring fast iterative access to datasets.