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Hadoop Administrator

Hadoop Administrator

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$ 153

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Course fees is Non-refundable

Course Highlights

  • 31 Hours of E-learning content, tests etc

  • Certification from Naukri Learning, Content aligned with most Certifying bodies

  • 400mn+ users & used by Professionals in 70% of Fortune 500 companies

4508+ Jobs

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Offer ends on 1st Jun

Priority Applicant - 4 months?

Certificate Highlighter - 12 months?

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Hadoop Administrator
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Validity: 180 Days

Mode of learning: Online self study

Course Overview

Who should do this course ?
  • Analytics professionals

  • Research professionals

  • Data scientists

  • Anyone wishing to gain a knowledge of Apache Spark

What are the course deliverables ?
  • Unlimited Access to Online Content for six months

  • Course Completion certificate - renowned globally

  • 400mn+ users, World's No 1 & trained 70% of Fortune 500 companies

  • Career boost for students and professionals

More about this course
  • Hadoop is an Apache Software Foundation project and open source software platform for scalable, distributed computing. Hadoop can provide fast and reliable analysis of both structured data and unstructured data. In this course you will learn about the design principles, the cluster architecture, considerations for servers and operating systems, and how to plan for a deployment. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.

  • Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.

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