Big Data Hadoop Certification Training Course


Hadoop is an open-source software framework used for distributed storage and processing of large datasets. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Hadoop is used for data-intensive applications such as data mining, machine learning, and predictive analytics. Major vendors for Hadoop include Cloudera, Hortonworks, MapR, and IBM. These vendors provide enterprise-level support and services for Hadoop, including installation, configuration, and maintenance. They also offer training and consulting services to help organizations get the most out of their Hadoop deployments.

About Hadoop Training and Certification Courses

Hadoop training and certification courses are designed to help professionals learn the fundamentals of Hadoop and its related technologies. These courses provide hands-on experience with Hadoop and its components, such as HDFS, MapReduce, Hive, Pig, and HBase. They also cover topics such as data analysis, data warehousing, and big data analytics. Upon completion of the course, participants will be able to design and implement Hadoop-based solutions.

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1-on-1 training (private class) – convenient start time, flexible timings.

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A1. The trainer is very well versed in the subject and good at taking the program from beginning to end with ease. He can answer our queries and is very supportive to complete the practical sessions. Due to his knowledge of the subject, the subject never looked complex.

Prerequisites for Hadoop Certifications

• Knowledge of Hadoop and its components
• Understanding of HDFS, MapReduce, YARN, Hive, Pig, Sqoop, Flume, Oozie, HBase
• Knowledge of Linux/Unix commands
• Knowledge of Java programming language
• Understanding of Big Data concepts
• Knowledge of Apache Spark and Scala

Who should take Hadoop Certification Training Courses?

• Professionals who are looking to gain expertise in Big Data and Hadoop
• IT professionals who want to upgrade their skills
• Software developers and architects
• Analytics professionals
• Business Intelligence professionals
• Project Managers
• Graduates looking to build a career in Big Data and Hadoop

Skills Earned by Individuals after Completing Hadoop Training and Certification Courses

1. Understanding of Hadoop architecture and its components such as HDFS, MapReduce, YARN, Hive, Pig, HBase, and Spark.
2. Ability to write complex MapReduce programs and analyze large datasets.
3. Knowledge of data ingestion techniques such as Sqoop and Flume.
4. Ability to design and implement Hadoop clusters.
5. Understanding of data security and governance in Hadoop.
6. Ability to use Hadoop for data analytics and machine learning.
7. Knowledge of best practices for performance tuning and optimization.
8. Understanding of data warehousing concepts and their application in Hadoop.
9. Ability to use Hadoop for real-time streaming and batch processing.
10. Knowledge of NoSQL databases and their integration with Hadoop.

Reasons to Choose Koenig Solutions for Hadoop Courses

Benefits of Choosing Koenig Solutions for Hadoop Training:
• Certified Instructor: Koenig Solutions provides certified instructors for Hadoop training.
• Boost Your Career: Koenig Solutions offers Hadoop training to help individuals boost their career.
• Customized Training Programs: Koenig Solutions offers customized training programs to meet the individual’s needs.
• Destination Training: Koenig Solutions provides destination training for Hadoop training.
• Affordable Pricing: Koenig Solutions offers affordable pricing for Hadoop training.
• Top Training Institute: Koenig Solutions is one of the top training institutes for Hadoop training.
• Flexible Dates: Koenig Solutions offers flexible dates for Hadoop training.
• Instructor-Led Online Training: Koenig Solutions provides instructor-led online training for Hadoop training.
• Wide Range of Courses: Koenig Solutions offers a wide range of courses for Hadoop training.
• Accredited Training: Koenig Solutions provides accredited training for Hadoop training.

Benefits of Taking Hadoop Certification Courses

• Increased job opportunities: According to a survey, the demand for Hadoop professionals has increased by over 400% in the last 5 years.
• Higher salaries: The average salary of a Hadoop certified professional is around $110,000 per year.
• Improved skills: Hadoop certification training helps to gain knowledge and skills in Big Data, Hadoop, MapReduce, HDFS, and other related technologies.
• Better career prospects: Hadoop certification helps to stand out from the crowd and get better job opportunities.
• Increased credibility: Hadoop certification adds credibility to the resume and helps to get better job offers.


Ans - No, the published fee includes all applicable taxes.

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.

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.

Candidates who want to pursue their certification training course in Hadoop Developer with Spark will need to have basic skills in programming and the minimum memory required to work with Hadoop in the 64-bit operating system.

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.

Based on the level of expertise and qualifications obtained, the average salary for those pursuing Big Data in Hadoop for certifications can make anywhere between 80,000 USD and 120,000 USD a year.

Below are the steps to become a Big Data Hadoop certified professional:
  • Choose a Big Data Hadoop certification course from a wide portfolio on offer 
  • Select a Big Data Hadoop training schedule and the training delivery mode that suits your requirement
  • Receive course materials provided for your Big Data Hadoop training to prepare better
  • Attend the instructor-led Big Data Hadoop certification training with hands-on lab sessions 
  • Take as many as Big Data Hadoop training sample tests to gain a proper understanding of the certification exam format
  • Become a Big Data Hadoop Certified Professional to take your career to the next level

There are no prerequisites to be eligible for the certification training course, but a base knowledge of Java is recommended. 

Participants taking part in their Big Data Hadoop certification training will receive:
  • A copy of the Big Data Hadoop certification course material
  • Pre-reading materials for Big Data Hadoop certification training in exam and course syllabus, practice test questions and answers, and case studies
  • Industry-recognized course completion certificate from an accredited training partner

To become eligible for the  Cloudera Apache Hadoop Administration certification training course, candidates need to have basic knowledge on how to operate using the Linux OS and some experience using a cloud platform.

Understanding the fundamentals and operations of Java are the only prerequisites needed to be eligible for the Apache Kafka certification training course.

Yes the Apache Kafka certification course can be completed using online classrooms as well. Training is also available at select locations around the globe in case one wants to opt for in-person learning.