Hadoop Cluster Capacity Planning Tutorial | Big Data Cluster Planning | Hadoop Training | Edureka

This Edureka video on "Hadoop Cluster Capacity Planning" will provide you with detailed knowledge about Hadoop Clusters and the requirements for planning a cluster along with a sample cluster plan for better understanding.
What is a Hadoop Cluster?
Factors deciding the Hadoop Cluster Capacity
Hardware Requirements for Hadoop Cluster
NameNode
Job Tracker
DataNode
Task Tracker
Operating System Requirement
Sample Hadoop Cluster Plan
Hadoop Admin Responsibilities

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About the Course:

Edureka's Big Data Hadoop Training Course is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop. Throughout this online instructor-led Hadoop Training, you will be working on real-life industry use cases in Retail, Social Media, Aviation, Tourism and Finance domain using Edureka's Cloud Lab.
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What are the objectives of our Big Data Hadoop Online Course?

Big Data Hadoop Certification Training is designed by industry experts to make you a Certified Big Data Practitioner. The Big Data Hadoop course offers:
In-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce
Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase

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What are the skills that you will be learning with our Big Data Hadoop Certification Training?

Big Data Hadoop Certification Training will help you to become a Big Data expert. It will hone your skills by offering you comprehensive knowledge on Hadoop framework, and the required hands-on experience for solving real-time industry-based Big Data projects. During Big Data & Hadoop course you will be trained by our expert instructors to:
Master the concepts of HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), & understand how to work with Hadoop storage & resource management.
Understand MapReduce Framework
Implement complex business solution using MapReduce
Learn data ingestion techniques using Sqoop and Flume
Perform ETL operations & data analytics using Pig and Hive
Implementing Partitioning, Bucketing and Indexing in Hive
Understand HBase, i.e a NoSQL Database in Hadoop, HBase Architecture & Mechanisms
Integrate HBase with Hive
Schedule jobs using Oozie
Implement best practices for Hadoop development
Understand Apache Spark and its Ecosystem
Learn how to work with RDD in Apache Spark
Work on real-world Big Data Analytics Project
Work on a real-time Hadoop cluster
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How will Big Data and Hadoop Training help your career?

The below predictions will help you in understanding the growth of Big Data:
Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 42.1% -Forbes
McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts
Average Salary of Big Data Hadoop Developers is $97k

Organisations are showing interest in Big Data and are adopting Hadoop to store & analyse it. Hence, the demand for jobs in Big Data and Hadoop is also rising rapidly. If you are interested in pursuing a career in this field, now is the right time to get started with online Hadoop Training.
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