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What is Hadoop and How to Learn Hadoop

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What is Hadoop and How to Learn Hadoop

Only the 'fittest' can survive in the heavily competitive IT arena. However, in this case, fitness has nothing to do with the physique. Instead, it refers to the enhancement of knowledge, cognitive abilities, and skills. It is possible through the acquisition of training and certification in a specific area of study. For instance, Big Data Hadoop seems to be in trend now. Therefore, many people are rushing to obtain Hadoop certification. Would you like to do the same? Well, then, approach a reputed institution and request details about signing up. 

An Acquaintance with Hadoop

Just a few years ago, Allied Market Research had predicted that the global Hadoop market would touch an astounding $84.6 billion by 2021. If it does, it would be akin to a dream come true for Hadoop's developers, Michael J. Cafarella and Dough Cutting! Regardless, there is no denying that this software does have a large number of fans!

Hadoop refers to an open-source framework. This software proves wonderfully useful for processing Big Data, as well as storing it. Hadoop bonds well with Java, the tremendously popular programming language. Therefore, it is easy to comprehend. The Apache 2 license covers Hadoop.

Acquiring Hadoop Certification

This certification will pave the pathway for you to become a successful Big Data engineer. For one thing, the training program delves deep into the methodologies and tools, which come into play for Big Data. Secondly, the course also takes an in-depth peek into the Hadoop ecosystem and the tools that prove useful for it. 

Eligibility

Fortunately, all types of IT professionals seem eligible for this particular course. These professionals may belong to any of these categories – business intelligence, analytics, testing rand mainframe, senior IT, or data management. However, the course does not restrict itself to these trainees alone. Therefore, if you do not fit into any of these slots, do not worry! You are still a welcome applicant if you are a software architect, software developer, aspiring data scientist does not or project manager. In case, you do not belong to this group either, step in as a fresh graduate looking to initiate a career in Big Data Analytics!

Pre-Requisites

Regardless of whatever prior credentials you attach to your application, you will need to adhere to some prerequisites. To illustrate, you must have a foundation in SQL and Core Java. Otherwise, you will not find it so easy to grasp the essentials of Hadoop.

Learning Methodology

Since it is an online program, you may train from anywhere in the world! If you would like to learn at your own pace, in your comfort zone, select self-paced learning. The other alternative is to go for blended learning. Here, you gain the combination of self-paced learning, interactive classes with learned tutors and personalized mentoring. 

Examination and Certification

Quite possibly, you have access to a practice/mock test at your concerned institute. This test is a duplicate of the real examination. Therefore, you will feel as if you are sitting down for the real exam. It takes place online, adhering to the same time limit as the actual test. The entire questionnaire is in the multiple-choice format. You may attempt the practice test at one go, or take a break midway. Regardless, you may not go back to the completed questions, once you return to your seat. Then again, you may not take extra time to complete the paper.

The practice test shows your strengths and weaknesses. It should help you brush up on your learning as you prepare for the actual certification exam. You may even draw upon your experiences as a working professional. You must get a high score, beyond 70% at least, if you wish to obtain Hadoop certification. Otherwise, the examiner will decide that you have failed. Of course, you may attempt the exam once again, albeit only after 30 days have gone past. You may take three retakes in total.

Jobs after Hadoop Certification

You may expect a lucrative career once you have the Hadoop certificate in your hand. 

Hadoop Developer

If you opt for this career, it is because you adore programming. Then again, you have a close acquaintance with SQL, Java, and other scripting languages. You also possess splendid interpersonal skills. Add your knowledge about Hadoop-related technologies, and you are on your way to a highly satisfying career!

Hadoop Architect

You will have to undertake several tasks. The organization expects you to look after Hadoop on large-sized clusters. They need organization, management, administration, and governance. You are also responsible for documentation, as you have a healthy acquaintance with programming languages. Finally, you are that innovative designer, who makes use of cluster node configurations marvelously.

Hadoop Administrator

If you take up this role, you are fully responsible for administering Hadoop, as well as its database systems. Your knowledge about hardware systems and Hadoop design principles prove to be extremely useful here. The organization expects you to keep large clusters in place and display excellent scripting skills. In short, you are the company's Hadoop troubleshooter, who can also provide viable solutions.

Data Scientist 

It is just another name for a business analyst. Of course, it is more high-sounding! The entire Hadoop environment is under your control. This environment is the collector and hoarder of data/information/knowledge. It is your job to generate this data, as well as disseminate it. You also take up the duties of evaluating information flowing in. Finally, you integrate sets of data. Your job is not an ordinary one, for you have to sift through mountains of data flowing in from diverse sources. Hence, you need to have excellent command over programming languages, know how to write code, work with databases, create splendid analytic models, etc. 

While the roles mentioned above are immensely popular amongst Hadoop professionals, there are other positions available too. They include Hadoop engineer, Hadoop analyst, etc. 

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