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OVERVIEW
What you will learn
Why KnowledgeHut
CURRICULUM
FAQS
Hadoop Administration FAQs

Instructor led Live Training

  • 30 hours of live interactive training
  • Coaching led by Hadoop experts
  • Hands-on training and lab sessions
  • Technical expertise in Hadoop
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Team/Corporate Training

Upskill your team with integrated corporate training

One To One Training

Reap the benefits of personalized training with a customized syllabus

Why learn Hadoop Administration?

Apache Hadoop™ is an effective and dynamic data platform that simplifies and allows for the distributed processing of large data sets across clusters of computers and servers. Hadoop is the perfect choice for organizations that have to deal with the challenges involved in handling vast amounts of structured and unstructured data.  The Hadoop framework is used for analyzing data and helping them to make informed business decisions that are based on the insights gleaned from the data. 

This ever-increasing data and the need to analyse it for favourable business outcomes has in turn increased the demand for professionals skilled in Hadoop and data analysis. A Hadoop Administrator’s primary responsibility is to manage the deployment and maintenance of Hadoop clusters. In other words, a Hadoop admin ensures smooth operation of Hadoop clusters, problem mitigation, safety and improved performance. 
A training in Hadoop Administration will help prepare you for the demands of the industry. New innovations in technology have made it mandatory for IT professionals to be on par with the latest developments. A Hadoop Administrator training will ensure that there is no skill gap between what you know and what the industry wants, thus making you a valuable employee. Furthermore, the demand for data analysts has seen a meteoric rise in the past few years, thus making certified Hadoop Administrators a niche resource. 

Benefits

Hadoop is the perfect solution for the challenges faced by vast amounts of unstructured data that are a goldmine when analysed. Hadoop certification benefits not just the holder but also the organizations who hire them.

Individual Benefits
Organizational Benefits

WHAT YOU WILL LEARN

1. Build Powerful Applications

Understand how to use Apache Hadoop™ software to build powerful applications to analyze Big Data.

2. Hadoop Distributed File System (HDFS)

Learn about Hadoop Distributed File System (HDFS) and its role in web-scale big data analytics.

3. Cluster Management in Hadoop

Let’s see what is cluster management in Hadoop and how to set up, manage and monitor Hadoop cluster.

4. Apache Hive installation

Know the basics of Apache Hive, how to install Hive, run HiveQL queries to create tables, & so on.

5. Running scripts

Learn more on Apache Sqoop, how to run scripts to transfer data between Hadoop & relational databases.

6. Apache HBase

Know the basics of Apache HBase, how to perform real-time read/write access to your Big Data.

6. Apache HBase

Know the basics of Apache HBase, how to perform real-time read/write access to your Big Data.

1. Build Powerful Applications

Understand how to use Apache Hadoop™ software to build powerful applications to analyze Big Data.

2. Hadoop Distributed File System (HDFS)

Learn about Hadoop Distributed File System (HDFS) and its role in web-scale big data analytics.

3. Cluster Management in Hadoop

Let’s see what is cluster management in Hadoop and how to set up, manage and monitor Hadoop cluster.

4. Apache Hive installation

Know the basics of Apache Hive, how to install Hive, run HiveQL queries to create tables, & so on.

5. Running scripts

Learn more on Apache Sqoop, how to run scripts to transfer data between Hadoop & relational databases.

6. Apache HBase

Know the basics of Apache HBase, how to perform real-time read/write access to your Big Data.

1. Build Powerful Applications

Understand how to use Apache Hadoop™ software to build powerful applications to analyze Big Data.

Prerequisites

There are no specific prerequisites for the Hadoop Administration Training, but a basic knowledge of Linux command-line interface will be beneficial.