Career Advantages of Hadoop Certification

Organizations, nowadays are hunting for Hadoop talent as there is a scarcity of such resources in the industry. Firms working on Hadoop want to ensure that the professionals they hire for Hadoop are efficient in handling huge data. Certification in the same assures the companies of the ability of the professional to perform the duties to his best. Hadoop certification has significant advantages apart from the huge demand for trained professionals.

A Hadoop certified professional gets the benefit in terms of pay package when compared to other professionals working in the field without the certification. Hadoop certification supports moving up the ladder and accelerates your career.

The certification is also very helpful for aspirants looking for a transition in their job roles. Apart from authenticating or imparting skills related to big data and related technologies, it also evaluates the comprehension of the latest aspects of Hadoop along with enhancing knowledge and demonstrating the same when networking with others.

Also Read: Top 8 Highest Paying IT Certifications 

How to Acquire Hadoop Certification?

A substantial advantage Big Data certification has is that it can be pursued online. Though there is an option of traditional classroom learning, working professionals can’t cope up with the time schedules of the course as their work schedule does not allow the same. Hence online training is best suited for such professionals. Live interactive sessions through video conferencing are a big help in preparation to accomplish the certification.

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Who Can Take Up Hadoop Certification?

Aspirants searching for jobs in several IT companies, professionals aspiring to improve their skills and add credibility to their resumes are the best-suited candidates to go for Hadoop certification. Moreover, professionals seeking to serve the employer organization at a bigger level can also opt for the same.

Candidates working to build a career in Big Data Analytics utilizing the Hadoop framework, Software professionals, Business Analytics and Business Intelligence professionals, Project Managers, Testing professionals, and so on are people who can get most benefited by the certification.

Also Read: Top Free Big Data Courses You Can Take up

Key Objectives of Hadoop Certification

Every aspirant aiming for the certification foresees to get the best result out of the course. The curriculum includes modules of Apache Hadoop. Prior to accomplishing the certification, one will acquire a profound knowledge of various topics encompassing Hadoop Distributed File System & MapReduce Framework, Data Loading Techniques using Sqoop & Flume.

Other features include learning to write complex MapReduce Programs, executing data analytics using Pig & Hive, acquiring comprehension of Zookeeper service along with the application of best practices for Hadoop Development & Debugging.

One also gets efficient with setting up a Hadoop cluster, perform programming in MapReduce (MRv1 & MRv2), YARN, implementing Hadoop Project HBase, Advanced Usage & Indexing, and MapReduce Integration.

Tips to Qualify For The Hadoop Certification Exam

Here are some of the tips to qualify for the Hadoop Distributed File System certification exam:

Hadoop: The Definitive Guide Book by Tom White is considered to be the bible to qualify for the exam. The book contains all the fundamental concepts of the course and the 3^rd edition is specifically considered to be the best as it also covers YARN.

Apache projects in Hadoop, for instance, Hive, Pig, Oozie, Flume, and HBase are some topics never to be ignored. The exam will for sure contain questions related to these topics. Along with referring to books, aspirants can also refer to videos and tutorials available online.

Utilization & implementation of Sqoop should be the core competencies of any aspirants aiming to qualify for the certification. One of the most efficient ways to learn it is to create a simple table in MySQL or any other database and fetching data into HDFS & Hive. Comprehending distinct features of the Sqoop tool and considering various well-written books is the best way to do the same.

Also Read: Top Hadoop Interview Questions & Answers

The next substantial step is to comprehend Hadoop fs Shell commands to manipulate the files in HDFS. To qualify for the exam, one can refer to a huge database of questions that holds a high probability of being present in the exam.

These questions are mostly based on results and outcomes. Along with that, one should be familiarised with how to derive MapReduce Paradigm from common SQL data patterns. Last but not the least, certification examination will have questions to evaluate the familiarity on key classes that are utilized in driver class and ways & methods utilized for the same.

Also Read: Reasons to Learn Python and Hadoop

If these guidelines are followed with dedication, one can be confident to have acquired substantial knowledge about qualifying for the Hadoop certification.