Introduction to Big Data and Hadoop

Take a step into the world of Big Data with an introduction to Hadoop and its ecosystem components.

Key features
  • 3 hours of self-paced video
  • Includes 10 quizzes
  • Includes 2 simulation exams
  • Covers basics of MapReduce, Pig, Hive, HBase, Sqoop and Zookeeper

Course description

What is this course about?

The ‘Introduction to Big Data and Hadoop’ is a suitable course for aspirants who seek to apprehend the fundamental concepts of Big Data and Hadoop. After finishing this course, beginners will be capable to anticipate what’s happening behind, while processing the immense volumes of data as the industry switches around from excel to real-time analytics.

Our course is concerned on the fundamentals of Big Data and Hadoop and offers an analysis of the distributions of Hadoop and the components of the Hadoop ecosystem.

Why the course is most sought after?

Big Data Analytics is used widely to analyze large volumes of data. The expanding requirement for professionals provided with the experience of Big Data and Hadoop has incremented opportunities for the aspirants who are seeking to create a career in this field. Professional can achieve advanced level course by knowing the fundamentals of Big Data and Hadoop in this subject and obtain skills to be an experts in Big Data analytics.

Knowledge of Big Data and Hadoop allows participants to install and set up Hadoop components and manage and combine large sets of unstructured data. The mentioned examples will display why participants should get provided with the knowledge of Big Data and Hadoop.

  • Facebook is a $5.1 billion company and contain over 1 billion active users. Hadoop makes Facebook to handle huge data.
  • Linkedin handles around 1 billion personalized recommendations every week, using Hadoop’s MapReduce and HDFS features.
  • Search Webmap, which is a Big Data Hadoop application runs on around 10,000 core Linux clusters and produces the data used widely in each and every query of Yahoo search.
What learning benefits do you get from 4CLearn’s training?

By the end of 4CLearn’s training in the fundamentals of Big Data and Hadoop, the participants will:

  • Apprehend the characteristics of Big Data.
  • Demonstrate the fundamentals of Hadoop and HDFS architecture.
  • List the features and processes of MapReduce.
  • Learn the fundamentals of Pig, Hive and Hbase.
  • Explore the commercial distributions of Hadoop.
  • Apprehend the vital components of the Hadoop ecosystem.
  • Get introduced to Sqoop & ZooKeeper.
What are the career benefits in-store for you?

An effective apprehending of the fundamentals of Big Data and Hadoop makes it easy to enhance their analytic skills, thus increasing their career prospects in the Big Data analytics industry. Based on the Robert Half Technology, the minimum salary for a Hadoop certified professional starts from $154,250.

MNCs like Microsoft, Oracle, Hewlett Packard, SAP, Software AG, IBM, Dell and EMC2 have invested around $15 billion on data management and analytics, so that incrementing opportunities for Big data and Hadoop certified professionals.

Who should do this course?

4CLearn’s Introduction to Big data and Hadoop course is designed for professionals who desired to learn a fundamental apprehending of Big Data and Hadoop. It is suitable for professionals in senior management who needs a theoretical apprehending on Hadoop solving their Big Data problem.

Exam & certification

What qualifications do you need?

There are no conditions for this course.

How can I unlock my 4CLearn certificate?
  • Finish 85% of the course.
  • Finish 1 simulation test with at least score of 60%.


How can I know more about the training program. Whom do I contact?

Participants are suggested to join our Live Chat for instant support, call us or can Request a Call Back to solve their query.