Hadoop Administration

The course provides an in-depth understanding of Hadoop framework, HDFS, and Hadoop cluster including Sqoop, Flume, Pig, Hive, and Impala. You will learn about cluster management solutions, core Hadoop distribution, and Cloudera manager. It includes 4 industry-based projects and is aligned to Cloudera’s CCAH ‘CCA-500’ certification. This course is best suited for IT professionals, data engineers, system administrators, and cloud administrators.


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  • Overview
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  • Who Should Attend
  • Course topics
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Hadoop Administration

Big Data and Hadoop Administrator

Big Data and Hadoop Administrator course will prepare you for Cloudera’s CCAH ‘CCA-500’ certification and equip you with all the skills for your next Big Data admin assignment. This course covers the Core Hadoop distributions—Apache Hadoop and Vendor specific distribution—CDH (Cloudera Distribution of Hadoop). You will learn the need for cluster management solutions, about Cloudera manager and its capabilities. It teaches you how to set up Hadoop cluster and its components such as Sqoop, Flume, Pig, Hive and Impala with basic or advanced configurations? The Hadoop administrator course also answers What is Hadoop’s Distributed File System, and its processing/computation frameworks? And How to plan, secure, safeguard, and monitor a cluster? This course will help you understand all basic and advance concepts of Big Data and all technologies related to Hadoop stack and components within Hadoop Ecosystem.

Key Features

  • 4 days of instructor-led training
  • Includes 4 real industry-based projects
  • Prepares for Cloudera CCAH ‘CCA-500’ certification exam
  • Includes 3 simulation exams aligned to ‘CCA-500’ certification exam


Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.


After completing this course, you will be able to:

  • Understand the fundamentals of Big Data and its characteristics, various scalability options to help organizations manage Big Data.
  • Master the concepts of the Hadoop framework ; its architecture, working of Hadoop distributed file system and deployment of Hadoop cluster using core or vendor specific distributions.
  • Learn about cluster management solutions such as Cloudera manager and its capabilities for setup, deploying, maintenance & monitoring of Hadoop Clusters.
  • Learn Hadoop Administration activities
  • Learn about computational frameworks for processing Big Data
  • Learn about Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster
  • Learn about Cluster planning and tools for data ingestion into Hadoop clusters
  • Learn about Hadoop components within Hadoop ecosystem like Hive, HBase, Spark and Kafka
  • Understand security implementation to secure data and clusters.
  • Learn about Hadoop cluster monitoring activities
Exam: mylearningkey certifies you in Hadoop Administration Course based on the project reviewed by our expert panel.
This course requires basic Linux knowledge and prior knowledge of Apache Hadoop is not required.


Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:

  • Systems administrators and IT managers
  • IT administrators and operators
  • IT Systems Engineer
  • Data Engineer and database administrators
  • Data Analytics Administrator
  • Cloud Systems Administrator
  • Web Engineer


Big Data Foundation

  • Understanding Big Data and Hadoop
  • Hadoop Architecture and Cluster setup
  • Hadoop cluster Administration & Understanding MapReduce
  • Backup, Recovery and Maintenance
  • Hadoop 2.0 Cluster: Planning and Management
  • Hadoop 2.0 and it's features
  • Setting up Hadoop 2.X with High Availability and upgrading Hadoop
  • Project: Cloudera manager and Cluster setup


Job postings and recruiters are looking for candidates with Hadoop certification. This is a definite advantage over a candidate without Hadoop certification.

  • Gives an edge over other professionals in the same field, in term of pay package.
  • During IJPs, Hadoop Certification helps you move up the ladder and accelerates your career.
  • Helpful for People are trying to transition into Hadoop from different technical backgrounds.
  • Authenticates your hands-on experience dealing with Big Data.
  • Verifies that you are aware of the latest features of Hadoop.
  • The certification helps to speak more confidently about this technology at my company when networking with others.