5 Best Online Courses to learn Hadoop for Beginners in 2022

Hadoop has been a buzzword all through the IT world for last 10-15 years. Everyday, in different parts of the world, we see new companies and organizations getting and dealing with huge amount of data. All of this has created a huge interest in storing this data and making  it easy to deal . In this blog, we are going to take a look at what is Hadoop, followed by a walk-through of few websites and courses which I have specifically chosen for this blog.

5 Best Courses to learn Hadoop

1. Big Data and Hadoop for Beginners — with Hands-on!:- Udemy

2. The Ultimate Hands-On Hadoop Course — Tame your Big Data!:- Udemy

3. The Building Blocks of Hadoop - HDFS, MapReduce, and YARN:- Pluralsight

4. Big Data, Hadoop, and Spark Basics:-Edx

5. Introduction to Big Data with Spark and Hadoop:- Coursera

What is Hadoop?

Hadoop's basic concept is to use a network of computers to handle a large quantity of data by distributing it to each node and then merging the separate outputs to generate the final result. It is a free, java based programming framework.
 
It is an open source software programming platform for storing and processing massive amounts of data. Its framework is built on Java programming, with some native C code and shell scripts thrown in for good measure.

Although MapReduce is a prominent Hadoop function, the Hadoop ecosystem encompasses much more. HDFS, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, ZooKeeper, and a slew of additional big data technologies are all available.

What are the benefits of learning Hadoop? It is, after all, one of the most in-demand IT talents today. According to Indeed, the average income for a big data developer in the United States is roughly $100,000, with a high of $150,000 in San Francisco.




5 Best Courses to learn Hadoop for Beginners

if you are worried how do you learn Hadoop and where to find the best courses to learn Hadoop then don't worry, I am going to share 5 best Courses to learn Hadoop in this article. These are the best online courses I found after going through a lot trash and they are from popular online platforms like Udemy, Coursera, Edx, Pluralsight

1. Udemy:

Udemy for a learner is one of the greatest tool that you can have in your arsenal. It offers a vast variety of courses in multiple languages with educators and experts from all over the world. It offers both paid and free courses, classroom programs, instructor led trainings and even monthly subscription. It also offers bulk deals and enterprise subscription for its users.

The biggest problem that you as a learner will face is finding the right course. Me being the helpful one, will try and help you with that dilemma.  

1. Big Data and Hadoop for Beginners — with Hands-on!:- Udemy

This course is ideal for beginners who wish to learn everything there is to know about Hadoop and associated technology. In this course, you will learn about how to analyze large data sets using Hadoop's complicated architecture and numerous components such as MapReduce, YARN, Hive, and Pig. Understand various technological developments, compensation patterns, the Big Data market. Grab various Big Data employment opportunities. Understand the purpose of Hadoop and how it works.

Prerequisites:

  • Basic knowledge of SQL and RDBMS would be a plus
  • Machine- Mac or Linux/Unix or Windows



2. The Ultimate Hands-On Hadoop Course — Tame your Big Data!:- Udemy

I prefer it as most comprehensive course on Hadoop and other Big Data technologies, including Hadoop, MapReduce, HDFS, Spark, Hive, Pig, HBase, MongoDB, Cassandra, Flume, and more you will know how to use Hadoop and related technology to design distributed systems that manage large amounts of data. one more great thing is that you will know how to select the best data storage technology for your application and how to publish data to your Hadoop cluster using high-speed messaging options such as Apache Kafka, Sqoop, and Flume. It covers over 25 technologies in total to give you a comprehensive understanding of the Big Data area.

Prerequisites:

  • You will need access to a x86-based PC running 64-bit Windows, MacOS, or Linux with an Internet connection and at least 8GB of *free* (not total) RAM, if you want to participate in the hands-on activities and exercises. If your PC does not meet these requirements or you only have an M1-based Mac available, you can still follow along in the course without doing hands-on activities.
  • Some activities will require some prior programming experience, preferably in Python or Scala.
  • A basic familiarity with the Linux command line will be very helpful.

2. Pluralsight:

Pluralsight is another great, paid/subscription platform which is geared towards advanced users. It has separate section for courses, certifications, assessments and labs. It also has tech index based search feature which makes the search for courses a breeze. 
 
The index also measures and publishes the recent change in technology popularity worldwide, and can help in choosing the platform to study if you are not yet decided. Sometimes, you can also get courses for specific topic that you are looking for, and it can help in more ways than one. 
 

3. The Building Blocks of Hadoop - HDFS, MapReduce, and YARN:- Pluralsight

This course will teach you about Hadoop architecture before putting you to work building up a pseudo-distributed Hadoop installation. you'll gradually learn how to configure your distributed system for stability, optimization, and scheduling. 
 
By the end of this course, you should have a thorough understanding of how Hadoop works and its many components, such as HDFS, MapReduce, and YARN. To keep things under control while processing billions of data, you need a comprehensive grasp of distributed computing and the underlying architecture, and if you're using Hadoop to do so, this course will teach you all you need to know.

Prerequisites:

  • Some experience or familiar with terms like HDFS, Storage Cluster.
  • Machine- Mac or Linux/Unix or Windows
  • Know about  Linux command and just familiar with Programming 


3. edx:

edx as a platform is geared towards promoting partner universities and their courses and certification. When a platform has names like Harvard, MIT, Stanford as partners, you are guaranteed of quality of teaching, material and coursework. As a platform, it also provides certifications from universities. Courses from universities are a bit costly, but in the long run, they are usually helpful.

4. Big Data, Hadoop, and Spark Basics:-Edx

This course teaches you how to use popular big data technologies like Hadoop and Spark to get core big data practitioner knowledge and analytical abilities. Explain Big Data, its significance, processing techniques and tools, and application scenarios. 
 
Describe the architecture, ecosystem, techniques, and applications of Hadoop, including HDFS, HBase, Spark, and MapReduce. Explain the fundamentals of Spark programming, including parallel programming, for Data Frames, data sets, and SparkSQL.

Prerequisites:

  • Computer and IT literacy. 
  • Curiosity about how data is managed.
  • Basics Of SQL


4. Coursera :

Coursera is another gem of a website with plenty of free, paid and subscription model courses. The main feature of Coursera is its tie-ups with organization, universities and certification providers. The courses are of great quality and mostly conducted by companies themselves. The two following courses for Hadoop conducted on Coursera by IBM experts themselves is listed below:

5. Introduction to Big Data with Spark and Hadoop:- Coursera

You will learn about the features of Big Data and how to use it in Big Data Analytics in this course. You'll learn how Hadoop and Hive may help you take use of Big Data's benefits while overcoming some of its obstacles. 
 
Apache Spark is an open-source processing engine that allows users to store and utilize large amounts of data in novel ways. You'll also learn about RDDs, or Resilient Distributed Datasets, which allow parallel processing across nodes in a Spark cluster. In-depth knowledge of Big Data's effect, including use cases, tools, and processing methodologies. 
 
Know how to use the fundamentals of Spark programming, such as parallel programming for Data Frames, data sets, and Spark SQL. Knowledge with the Apache Hadoop architecture, ecosystem, and practices, as well as the use of HDFS, HBase, Spark, and MapReduce applications.

Prerequisites:

  • Basic knowledge of Linux command and just familiar with  it
  • Machine- Mac or Linux/Unix or Windows



Conclusion:

Hadoop has shown to be a very successful option for businesses dealing with petabytes of data.
It has solved a number of issues in the industry including large data management and distributed systems. It is open source so it is frequently used by businesses.

The Hadoop MapReduce framework is the most widely used Big Data processing framework. HDFS is a critical component for improving Hadoop performance. HDFS not only allows for the storage of large amounts of data, but also for the distribution and processing of that data.

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