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Hadoop Administration Courses, Certification & Training by Cdac

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Hadoop (also known as Apache Hadoop) is a collection of software resources that allows the distributed processing of large sets of data across clusters of computers using simple programming models. It is an open-source framework and was inspired by Google’s papers on MapReduce and Google File System.

Apache Hadoop is an important tool for professionals who are working in big data. If you are a skilled professional in Apache Hadoop, you will receive numerous job opportunities in the data analytics industry as a Data Scientist, a Big Data Developer or a Big Data Architect.

Naukri Learning offers a wide range of expertly curated courses in Apache Hadoop and big data. Other related courses include Big Data, Data Scientist, Machine Learning and Data Visualization.

What are the benefits of Hadoop?

Apache Hadoop has numerous advantages, some of them are mentioned below:
• It is a highly scalable platform and allows organisations to distribute data sets across hundreds of inexpensive servers that operate in parallel.
• It has high reliability as processing is re-directed to other nodes if one node fails and the data is automatically replicated.
• Unlike proprietary software Hadoop is open-source and thus organisations can run on low-cost commodity software.
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Why should you go for a Hadoop certification?

With a Hadoop professional certification course, you will be able to improve your career prospects. Some of the benefits of a Hadoop certification are:
• Based on a Naukri survey, 67% of the recruiters mentioned that they prefer certified candidates and are also willing to pay higher.
• It is an important achievement and a door of opportunity for those who want to transition to big data from a non-technical field.
• You will acquire hands-on experience on the various big data analysis technique using Apache Hadoop.
• You will learn the various tools and software associated with Hadoop framework to have a comprehensive understanding of big data analytics.
• You will be able to ace a Hadoop interview, if you have the requisite skills.
• Fresh graduates
Software Developers
Testing Engineers
Data Analysts

What are the key skills associated with Hadoop profiles?

• Knowledge of the Hadoop ecosystem and its components.
• Basic understanding of the Java language.
• Good knowledge of multi-threading and concurrency concepts.
• High-level analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
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Career Outcomes

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Related Career Options

Hadoop Administrator

A Hadoop administrator is someone who manages and administers Hadoop clusters and all other resources in the entire Hadoop ecosystem. He/she is respon...

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Big Data Developer

Big data developers are proficient in core scripting languages and responsible for the actual coding or programming of big data applications. They dea...

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Big Data Architect

A Big data architect is trained to describe the structure of a big data solution. He/she is responsible for planning next generation big data systems ...

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    1. PG Diploma in HPC System Administration (PG-DHPCSA)

      PG-DHPCSA will educate the aspirants who want to make an impact in the corporate and academic world in the domain of High Performance Computing system administration as System Administrator, Storage Administrator and IT Infrastructure Specialist. The course is also suitable for those who are already working in HPC administration domain to enhance their theoretical and conceptual knowledge as well as those who would like to start career in HPC administration. The collaboration with the different multi-national companies at the level of mutual research interests and customer related projects will ease the path for campus recruitment. At the end of the course the students will be able to manage HPC infrastructure like network, storage, resource and backup management, efficiently design data center, maintain the HADOOP cluster and map reduce technology, explore on HPC applications and solutions, and understand the fundamentals of various cloud techniques and system security

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