10 Best Big Data Hadoop Certification and Online courses in 2022

10 Best Big Data Hadoop Certification and Online courses in 2022

In today’s world, companies use Big Data for refining their marketing campaigns and methods as it helps them in generating valuable insights. On the other side, Hadoop makes it easier to use all the storage capacity in cluster servers and execute distributed processes against large amounts of data. Thus, companies demand Big data Hadoop admins to do capacity planning and estimate the needs for lowering or increasing the capacity of the Hadoop cluster. 

So, if you are someone who wishes to build a career in Big data Hadoop administration, then stay with us till the end as here you’ll find the 10 Best Big Data Hadoop Certification and Online courses in 2022. Let’s begin with knowing the skills required for the interested candidates.

Recommended skills

To begin with, let’s discuss the basic skills that one is recommended have before going for a certification course in Big data Hadoop-

  • Tech savvy
  • Data visualization ability
  • Data mining skills
  • Programming knowledge
  • Problem-solving skills
  • Analytical skills
  • Basics of SQL

Top 10 Market Research Certification and Courses in 2022

Choosing a certification course that suits you best is not an easy task as there are various online platforms offering numerous courses to fulfill your needs. Therefore, here we are to help you out by discussing the 10 Best Big Data Hadoop Certification and Online courses in 2022 that would give you an idea about which course you should go for. So, without any further waste of time let’s look at what we are here for-

1. Certified Big Data and Apache Hadoop Developer by Vskills

This government certification program provides you with basic to the advanced level knowledge of Big Data Hadoop and helps you become a successful Hadoop administrator, developer, data scientist professional, etc in the field of Big Data. It covers broad data science projects and the methods of data transformation, acquisition, and predictive analytics that help in solving real-world problems. Thus, it helps in validating your knowledge on several areas in Big Data and Apache Hadoop. Following are some important details and the course outline that you should know before enrolling in this course.


Course Details

  • Government certified
  • Learning hours- 22 hrs
  • Certification validity- Lifetime
  • E-learning access- Lifelong

Course Outline

1. Big Data

2. Apache Hadoop


4. MapReduce


6. Pig

7. HBase

8. Sqoop and Flume

9. Hive

10. Workflow

11. Hadoop Cluster Management

12. Administration

13. Security

14. NextGen Hadoop

Apply for the course

2. Hadoop Platform and Application Framework by Coursera

This course is beneficial for web developers or business people who wish to understand the core tools used in wrangling and analyzing big data. It provides you with the opportunity to walk through hands-on examples with Hadoop and Spark frameworks without even having experience in the field. So, by the end of the program, you’ll be able to explain the specific components as well as basic processes of the Hadoop architecture, execution environment, and software stack. So, it is a good option for you to choose but before applying keep note of the following important details.


Course Details

  • Level- Beginner
  • Duration- 26 hours
  • Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish
  • Self-paced

Course Outline

  • Hadoop basics
  • Introduction to the Hadoop Stack
  • Introduction to Hadoop Distributed File System (HDFS)
  • Introduction to Map/Reduce
  • Spark

Apply for this course

3. The Ultimate Hands-On Hadoop: Tame your Big Data! by Udemy

This comprehensive course covers over 25 different technologies in around 14 hours of video lectures. It’s not just about theory but is filled with hands-on activities and exercises that help you get some real experience in using Hadoop. Thus, you’ll find a range of activities in this course for people at the beginner level. So, this training program is definitely a good option for candidates willing to start their careers as Hadoop professionals.


Course Details

  • Duration- 14.5 hrs
  • Full lifetime access
  • Fees- Rs 360
  • 7 articles and 2 downloadable resources

Course Outline

  • Learn all the buzzwords! And install all Hortonworks Data Platform Sandbox
  • Using Hadoop’s Core: HDFS and MapReduce
  • Programming Hadoop with Pig
  • Programming Hadoop with Spark
  • Using relational database stores with Hadoop
  • Using non-relational database stores with Hadoop
  • Querying your data interactively
  • Managing your Cluster
  • Feeding data to your Cluster
  • Analyzing streams of data
  • Designing real-world systems
  • Learning more

Apply for the course

4. Big Data Hadoop Certification Training Course by edureka

This comprehensive course on Big Data curated by 10+ years of experienced industry experts covers in-depth knowledge on Big Data as well as Hadoop ecosystem tools like HDFS, MapReduce, YARN, Hive, and Pig. Thus, this online instructor-led live Big Data Hadoop certification training allows you to work on real-life industry use cases in retail, aviation, social media, tourism, and finance domains with the use of Edureka’s Cloud Lab. Moreover, some other important details of this course are as follows-


Course Details

  • Price- Rs 16,995
  • Live classes
  • 60 days of Cloud Lab access
Course Outline
  • Understanding Big Data and Hadoop
  • Hadoop Architecture and HDFS
  • Hadoop MapReduce Framework
  • Advanced Hadoop MapReduce
  • Apache Pig
  • Apache Hive
  • Advanced Apache Hive and HBase
  • Advanced Apache HBase
  • Processing Distributed Data with Apache Spark
  • Oozie and Hadoop Project
  • Certification Project

Apply for the course

5. Big Data Engineer course by Simplilearn

This program provides you with job critical skills such as Big Data and Hadoop frameworks and leverages the functionality of AWS services. It helps you in learning the use of database management tools and MongoDB through interactive live sessions, and industry projects. Moreover, some other important details of this program are as follows-


Course Details

  • Standard Fee- ₹44990
  • Rating- 4.5
  • Provider- IBM
  • Course type- Online

Course Modules

  • Big Data for Data Engineering
  • Big Data Hadoop and Spark Developer
  • PySpark Training Course
  • Apache Kafka
  • MongoDB Developer and Administrator
  • AWS Big Data Certification Training
  • Big Data Capstone

Apply for the course

6. Introduction to Hadoop by GreatLearning

This introductory level training on Big Data Hadoop gives an overview of the MapReduce programming model with the use of a simple word counting mechanism with existing tools which highlights the challenges around processing data at a big scale. Thus, this will help you learn the use of Hadoop in different real-life situations to gain a deeper appreciation of its simplicity. Following are some other important details for you to know before applying for the program.

Great Learning

Course Details

  • Duration- 4.5hrs
  • Rating- 4.48
  • 1 quiz included
  • Level- Beginner

Course Outline

  • Introduction to Big Data / Hadoop
  • Hadoop distributed file system (HDFS)Intro to ETL
  • Distributed computing
  • Map-Reduce abstraction
  • Programming MapReduce jobs
  • Introduction to Oozie and HDFS processing
  • Hadoop cluster and eco system
  • Input/Output formats and conversion between different formats
  • MapReduce features
  • Troubleshooting MapReduce jobs
  • YARN (Hadoop2.0)

Apply for the course

7. Certification Course on Big Data Engineering with Hadoop and Spark by Cloud x Lab

This specialization helps you learn Hadoop and Spark to drive better business decisions and solve problems in real-life. Also, it will help you apply your skills to a distributed cluster to solve real-world problems. Thus, it is a good course that gives you basic to advanced knowledge about Big Data engineering with Hadoop and Spark. Following are some important details and the course outline that you should know before enrolling in this course.


Course Details

  • Duration- 60+hrs
  • 90 days of labs
  • Projects-7

Course Outline

1. Introduction

2. Foundation & Environment

3. Zookeeper



6. MapReduce Basics

7. MapReduce Advanced

8. Analyzing Data with Pig

9. Processing Data with Hive

10. NoSQL and HBase

11. Importing Data and with Sqoop and Flume, Oozie

Apply for the course

8. A Program To Master Big Data Technologies by Trendytech

This program is open for learners from different backgrounds with and without any prior experience in Bigdata. Moreover, it is entirely designed and developed on the basis of industry experts’ expertise and experience. Some other important details of this course are as follows-

Course Outline
  • Hadoop core components and its ecosystem
  • Spark with Scala (Performance optimisation)
  • Structured Streaming with Kafka
  • Big Data on AWS cloud
  • Airflow & CICD pipeline

Apply for the course

9. Certified Big Data and Hadoop Training Course by Data Flair

This course offers in-depth theoretical knowledge on Hadoop as well as strong practical skills through the implementation of real-time Hadoop projects. Thus, it gives you a headstart and enables you to bag good Hadoop jobs in the industry of Big Data. So, this training program is definitely a good option for candidates with or without experience as it’ll help in upskilling your current level of knowledge.

Data Flair

Course Outline

1. The big picture of Big Data

2. Demystifying Hadoop

3. Setup and Installation of Hadoop

4. HDFS – The Storage Layer

5. A Deep Dive into MapReduce

6. MapReduce – Advanced Concepts

7. Hive – Data Analysis Tool

8. Pig – Data Analysis Tool

9. NoSQL Database – HBase

10. Data Collection using Sqoop

11. Data Collection using Flume

12. Apache YARN & advanced concepts in the latest version

13. Processing data with Apache Spark

14. Real-Life Project on Big Data

Apply for the course

10. Big Data Hadoop Certification Training Course by Intellipaat

This training program helps its participants master Big Data Hadoop and Spark to master Hadoop administration. In this course, you get to master MapReduce, Pig, Hive, Sqoop, Flume, and Oozie and work with Amazon EC2 for cluster setup, Scala and Spark SQL, Spark framework, and RDD, Machine learning using Spark and Spark streaming, etc. So, it is a good option for you to choose but before applying keep note of the following important details.


Course Details

  • Minimum cut-off- 55%
  • Level- Beginner
  • Certification fee- USD 530

Course Outline

  • Hadoop Installation and Setup
  • Introduction to Big Data Hadoop and Understanding HDFS and MapReduce
  • Deep Dive in MapReduce
  • Introduction to Hive
  • Advanced Hive and Impala
  • Introduction to Pig
  • Flume, Sqoop and HBase
  • Writing Spark Applications Using Scala
  • Use Case Bobsrockets Package
  • Introduction to Spark
  • Spark Basics
  • Working with RDDs in Spark
  • Aggregating Data with Pair RDDs
  • Writing and Deploying Spark Applications
  • Project Solution Discussion and Cloudera Certification Tips and Tricks
  • Parallel Processing
  • Spark RDD Persistence
  • Spark MLlib
  • Integrating Apache Flume and Apache Kafka
  • Spark Streaming
  • Improving Spark Performance
  • Spark SQL and Data Frames
  • Scheduling/Partitioning
  • Hadoop Administration – Multi-node Cluster Setup Using Amazon EC2
  • Hadoop Administration – Cluster Configuration
  • Hadoop Administration – Maintenance, Monitoring and Troubleshooting
  • ETL Connectivity with Hadoop Ecosystem (Self-Paced)
  • Hadoop Application Testing
  • Roles and Responsibilities of Hadoop Testing Professional
  • Framework Called MRUnit for Testing of MapReduce Programs
  • Unit Testing
  • Test Execution
  • Test Plan Strategy and Writing Test Cases for Testing Hadoop Application

Apply for this course

We hope this blog will turn out to be insightful and will help you choose the best course for you. So, stop waiting and start learning; enroll in any of the above courses and kick-start your career in Big Data Hadoop.


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