Ultimate Hands-On Hadoop Course | 361 Degree Minds

Posted on: 28-Aug-2019 | Created By: 361 Career-Care Team


If you are learning big data or want to explore Hadoop framework, and is looking for some awesome online Hadoop programs, then you have come to the right place. In this blog, I’ll be covering what is basically a Hadoop course, how to learn Hadoop online and what are the top Hadoop Certifications?


The beauty of Hadoop is that it is designed to recognize and account for hardware failures. It easily adjusts processing load to available resources, therefore reducing downtime. As to understand what Hadoop is in detail, we have to first understand the issues related to Big Data and traditional processing system. Hadoop is a framework that allows you to first store Big Data in a distributed environment so that you can process it side-by-side.  


Why is pursue of a Hadoop Course important?

Hadoop Developer with Spark certification will let learners create robust data processing applications using Apache Hadoop. After completing the program, you will be able to comprehend workflow execution and working with APIs by executing joins and writing MapReduce code. 


why is hadoop important

The purpose of the programs is to offer the most excellent practice environment for the real-world business issues faced by Hadoop developers. With Big Data being the buzzword, Hadoop certification, and skills are being sought by big and small companies across the globe and are among the highest in-demand career path.

The major reasons why Hadoop is necessary to include: 

  1. Ability to store a vast amount of data quickly with data volumes and varieties constantly increasing.
  2. The open-source framework is free and uses commodity hardware to store large quantities of data.
  3. Hadoop's distributed computing model processes big data fast. The more computing nodes you use, the more processing power you have.
  4. Data and application processing are protected against hardware failure. Jobs are automatically redirected if a node goes off to other nodes to make sure the distributed computing does not fail. 
  5. Unlike traditional relational databases, you don’t have to preprocess data before storing it. You can store as much data as you want and decide how to use it later, including all unstructured data like text, images or even videos.
  6. You can easily grow your system to handle more data simply by adding nodes. Little administration is required.


The Top Online Hadoop Certification Programs

Here is the list of some of the best Hadoop certification online courses you can enroll with: 

1. The Ultimate Hands-On Hadoop 

This is one of the top certification programs on learning Hadoop and other Big Data technologies as it covers Hadoop, MapReduce, HDFS, Spark, Hive, Pig, HBase, MongoDB, Cassandra, Flume, etc. The learners will be able to design distributed systems that manage a huge amount of data using Hadoop and related technology.  It will also guide you on how to choose an appropriate data storage technology for your application and how to publish data to your Hadoop cluster using high speed messaging solutions like Apache Kafka, Sqoop, and Flume.

2. The Building Blocks of Hadoop Course?—? HDFS, MapReduce, and YARN

The program focuses on building blocks of Hadoop framework e.g. HDFS for storage, MapReduce for processing and YARN for cluster management. The learners will have an in-depth study on Hadoop architecture and then do some hands-on work by setting up a pseudo-distributed Hadoop environment.

3. Big Data and Hadoop for Beginners?

If you are a beginner to the field and wants to explore everything about Hadoop and related technology then, Hadoop training for beginners is the perfect program that you should - go for. You will not only understand what the purpose of Hadoop is and how it works but also how to install Hadoop on your machine and learn to write your own code in Hive and Pig. 

4. Learn Big Data: The Hadoop Ecosystem Masterclass

With the completion of the Program, the learners will know how to install and configure the Hortonworks Data Platform or HDP. It provides demons which you can try out on your machine by setting up a Hadoop cluster on the virtual machine and it requires 8GB or more RAM for that.

Not knowing Hadoop will in no way disqualify you as a data scientist. To become a data scientist, you can also learn data science programming tools like Python and R for your analytics to operate on a subset of data, even without an in-depth working knowledge of the Hadoop framework. Just that, if you want to become a data scientist, learning Hadoop is extremely useful to speed up the process of becoming a data scientist of your dreams. 


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