Big Data has revolutionized the business world, influencing companies of every size in every industry across the globe. From the largest multinationals, such as Google, Tesla, Amazon and the likes, to start-up companies, each one of them has either incorporated Big Data or is strategizing to do so in the near future. The thrust by businesses to be Big Data compliant has resulted in a huge demand for professionals who specialize in this field.
The demand is worldwide and immediate. There is a dearth of Big Data Hadoop developers especially in those companies that manage large amounts of data, such as online marketing, FMCG, insurance, mobile service providers. To put it in perspective, a McKinsey report estimates the need for 1.5 million specialists of Big Data by 2018.
The Apache Software Foundation, a non-profit organization with a community of software developers globally, manages and maintains the ecosystem and framework of the single largest open-source software, to store data and run applications on commodity hardware clusters, known as Hadoop.
Important Aspects of Hadoop
Hadoop provides humungous amount of storage, is data agnostic, has a tremendous processing capacity with the ability to manage infinite tasks run concurrently. Besides these generically known aspects, it also has some that are important for business continuity and scalability:
- The enormous computing power of Hadoop can be enhanced by increasing the number of nodes that are used.
- It has an in-built fault tolerance system to manage hardware failure. It automatically stores multiple copies of all data, and in the event of hardware failure it redirects jobs to other nodes seamlessly, without allowing computing failure.
- It is flexible in the kind of data stored and the quantity of it. Unlike conventional databases that require pre-processing of data before storage.
- Highly scalable, it can be expanded to increase data storage capacity by simply adding more nodes.
- The system is extremely cost effective as the framework is open-source and regular commodity hardware can be used to store the data.
Importance of Big Data Hadoop Certification
The certification develops the skill of technical professionals in the different technologies of big data, such as Hadoop, MapReduce, Apache Spark, Cassandra, and others. You also acquire knowledge of various tools used in Big Data, improving your proficiency to manage big data at any level.
Who can apply for Big Data Hadoop Developer Certification?
Considering the rapid growth of Big Data and the alacrity with which companies are embracing it, almost any and every person in the technical arena has at least considered this option once. However, getting the Big Data Hadoop Developer certification is best suited for the following personnel already in the space of Data Management, Business Intelligence, Analytics, Project management, Software Development and Architecture and similar verticals. Other than professionals already in the field, this avenue is also open to anyone with a passion to be in Big Data analysis.
However the Big Data Hadoop Developer course is not restricted to persons with technical know-how alone. A newbie, with no prior knowledge can also take up the course if he or she is really passionate to be in the arena of Big Data. They will have to work a lot harder than those that already possess a certain amount of technical knowledge, but their passion should deliver enough impetus for them to complete the course with flying colors.
The knowledge of Java is a prerequisite to participate in the Big Data Hadoop Developer Training course. But it is not a deterrent. Most courses in Hadoop are accompanied with a free learning module of Java basics for Hadoop. This is sufficient to put you on the learning track of you intended career path.
Candidates with an IT background will possibly find the Big Data Hadoop Developer Training course easier to understand and learn. However, a fresher, with commitment, dedication and a lot of practice can be successful in completing the course and making a career in Big Data management. The inclusion of a complimentary Java learning module increases the appeal for those that do not have a technical background.
Exam and Certification Process
To be certified as a Big Data Hadoop Developer there are 2 criteria that need to be satisfied – a live project and an examination.
You have to show participation in live projects, either for a stipulated period of time or till the completion of the project, whichever falls within the course duration. Some training sites demand the completion of at least one project in the duration of the course period. No mock projects will be accepted.
The exam requires an 80% pass score to receive the certification. You are allowed 2 attempts to pass the exam. If you fail both times, you will be required to take the entire course again if you still intend to pursue the certification.
On completion of your training from an authorized course provider, you may receive an experience certificate, which must not be confused with the Big Data Hadoop Developer certification. The experience certificate only confirms that you have taken the course and been a participant of a Big Data live project. The Big Data Hadoop Developer certification is given only when you achieve both criteria of completing a live project and passing the exam.
All in All…
Big Data Hadoop Developer certification offers an opportunity to jump-start your Big Data career. It equips you with knowledge about the subject and the tools required to deliver results. The participation in one or more live projects will add to your repertoire of experience when interviewing for a job. The certification puts you on the path of a career that has long-term ramifications in the technological environment of all industries and businesses.