Hadoop Administration Training

Hadoop Administration Training

OL Tech Edu's Hadoop Administration Certification Training will guide you to gain expertise in maintaining complex Hadoop Clusters. You will learn exclusive Hadoop Admin activities like Planning of the Cluster, Installation, Cluster Configuration, Cluster Monitoring and Tuning. Furthermore, you will get to know about Cloudera Hadoop 2.0 and you will be mastering the security implementation and Hadoop v2 through industry-level cases studies.

Hadoop Market is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015 - Forbes.

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Hadoop Admin UpComing Batches

Nov-22 - Jan-03

Weekend
SOLD OUT

Timings: 07:00 AM To 10:00 AM (IST)

350.00     Enroll Now

Nov-15 - Dec-27

Weekday
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Timings: 20:30 PM To 23:30 PM (IST)

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Dec-04 - Jan-15

Weekend
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Timings: 07:00 AM To 10:00 AM (IST)

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Dec-11 - Jan-22

Weekday
FILLING FAST

Timings: 20:30 PM To 23:30 PM (IST)

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Dec-18 - Jan-29

Weekend

Timings: 07:00 AM To 10:00 AM (IST)

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Dec-25 - Feb-05

Weekday

Timings: 20:30 PM To 23:30 PM (IST)

350.00     Enroll Now
Be future ready. Start learning
Structure your learning and get a certificate to prove it.
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Course Curriculum

Hadoop Administration Certification Training

SELF PACED

OL Tech Edu's Hadoop Administration Certification Training will guide you to gain expertise in maintaining complex Hadoop Clusters. You will learn exclusive Hadoop Admin activities like Planning of the Cluster, Installation, Cluster Configuration, Cluster Monitoring and Tuning. Furthermore, you will get to know about Cloudera Hadoop 2.0 and you will be mastering the security implementation and Hadoop v2 through industry-level cases studies.

  • WEEK 5-6
  • 10 Modules
  • 6 Hours
Safe Paced

Learning Objectives: Understand Big Data and analyse limitations of traditional solutions. You will learn about the Hadoop and its core components and you will get to know about the difference between Hadoop 1.0 and Hadoop 2.x.

Topics:
  • Introduction to Big Data.
  • Common big data Domain Scenarios.
  • Limitations of Traditional Solutions.
  • What is Hadoop?
  • Hadoop 1.0 ecosystem and its Core Components.
  • Hadoop 2.x ecosystem and its Core Components.
  • Application Submission in YARN.

Learning Objectives: In this module, you will learn about Hadoop Distributed File System, Hadoop Configuration Files and Hadoop Cluster Architecture. You will also get to know the roles and responsibilities of a Hadoop administrator.

Topics:
  • Distributed File System.
  • Hadoop Cluster Architecture.
  • Replication Rules.
  • Hadoop Cluster Modes.
  • Rack Awareness Theory.
  • Hadoop Cluster Administrator Responsibilities.
  • Understand Working of HDFS.
  • NTP Server.
  • Initial configuration required before installing Hadoop.
  • Deploying Hadoop in a pseudo-distributed mode.

Learning Objectives:Learn how to build a Hadoop multi-node cluster and understand the various properties of Namenode, Datanode and Secondary Namenode.

Topics:
  • OS Tuning for Hadoop Performance.
  • Pre-requisite for Installing Hadoop.
  • Hadoop Configuration Files.
  • Stale Configuration.
  • RPC and HTTP Server Properties.
  • Properties of Namenode, Datanode and Secondary Namenode.
  • Log Files in Hadoop.
  • Deploying a Multi-node Hadoop Cluster.

Learning Objectives: In this module, you will learn how to add or remove nodes to your cluster in adhoc and recommended way. You will also understand day to day Cluster Administration tasks like balancing data in cluster, protecting data by enabling trash, attempting a manual failover, creating backup within or across clusters.

Topics:
  • Commisioning and Decommissioning of Node.
  • HDFS Balancer.
  • Namenode Federation in Hadoop.
  • High Availabilty in Hadoop.
  • Trash Functionality.
  • Checkpointing in Hadoop.
  • Distcp.
  • Disk balancer.


Learning Objectives: Get to know about the various processing frameworks in Hadoop and understand the YARN job execution flow. You will also learn about various schedulers and MapReduce programming model in the context of Hadoop administrator and schedulers.

Topics:
  • Different Processing Frameworks.
  • Different phases in Mapreduce.
  • Spark and its Features.
  • Application Workflow in YARN.
  • YARN Metrics.
  • YARN Capacity Scheduler and Fair Scheduler.
  • Service Level Authorization (SLA).


Learning Objectives: In this module, you will understand the insights about Cluster Planning and Managing, what are the aspects one needs to think about when planning a setup of a new cluster.

Topics:
  • Planning a Hadoop 2.x Cluster.
  • Cluster Sizing.
  • Hardware, Network and Software Considerations.
  • Popular Hadoop Distributions.
  • Workload and Usage Patterns.
  • Industry Recommendations.


Learning Objectives: Get to know about the Hadoop cluster monitoring and security concepts. You will also learn how to secure a Hadoop cluster with Kerberos.

Topics:
  • Monitoring Hadoop Clusters.
  • Hadoop Security System Concepts.
  • Securing a Hadoop Cluster With Kerberos.
  • Common Misconfigurations.
  • Overview on Kerberos.
  • Checking Log files to Understand Hadoop Clusters for Troubleshooting.


Learning Objectives: In this module, you will learn about the Cloudera Hadoop 2.x and various features of it.

Topics:
  • Visualize Cloudera Manager.
  • Features of Cloudera Manager.
  • Build Cloudera Hadoop cluster using CDH.
  • Installation Choices in Cloudera.
  • Cloudera Manager Vocabulary.
  • Cloudera Terminologies.
  • Different tabs in Cloudera Manager.
  • What is HUE?
  • Hue Architecture.
  • Hue Interface.
  • Hue Features.


Learning Objectives: Get to know the working and installation of Hadoop ecosystem components such as Pig and Hive.

Topics:
  • Explain Hive.
  • Hive Setup.
  • Hive Configuration.
  • Working with Hive.
  • Setting Hive in Local and Remote Metastore Mode.
  • Pig Setup.
  • Working with Pig.


Learning Objectives: In this module, you will learn about the working and installation of HBase and Zookeeper.

Topics:
  • What is NoSQL Database?
  • HBase Data Model.
  • HBase Architecture.
  • MemStore, WAL, BlockCache.
  • HBase Hfile.
  • Compactions.
  • HBase Read and Write.
  • HBase Balancer and Hbck.
  • HBase Setup.
  • Working with HBase.
  • Installing Zookeeper.


Learning Objectives: In this module, you will get to know about Apache Oozie which is a server-based workflow scheduling system to manage Hadoop jobs.

Topics:
  • Oozie Overview.
  • Oozie Features.
  • Oozie Workflow, Coordinator and Bundle.
  • Start, End and Error Node.
  • Action Node.
  • Join and Fork.
  • Decision Node.
  • Oozie CLI.
  • Install Oozie.


Learning Objectives: Learn about the different data ingestion tools such as Sqoop and Flume.

Topics:
  • Types of Data Ingestion.
  • HDFS Data Loading Commands.
  • Purpose and Features of Sqoop.
  • Perform Operations like, Sqoop Import, Export and Hive Import.
  • Sqoop 2.
  • Install Sqoop.
  • Import Data from RDBMS into HDFS.
  • Flume Features and Architecture.
  • Types of Flow.
  • Install Flume.
  • Ingest Data From External Sources With Flume.
  • Best Practices for Importing Data.

Program Syllabus

Curriculum

You can also view the program syllabus by downloading this program Curriculum.

Projects

What are the system requirements for this Hadoop Administration Certification Training?

Your system should have minimum 8GB RAM and i3 processor or above.

How will I execute the Practicals in this Hadoop Administration Training?

For your practical work, we will help you set up a virtual machine in your system. For VM installation, 8GB RAM is required. Additionally, our 24/7 expert support team will be available to assist you with any queries.

Which case-studies will be a part of Hadoop Administration Certification Training?

Setting up complex Hadoop Cluster with a minimum of 2 Number Deploying files to HDFS with custom block sizes. Installing and configuring various Hadoop ecosystem components. Securing Hadoop Cluster using Kerberos.

Course Description


About Hadoop Administration Certification Course
About Hadoop Administration Certification Course
  • OL Tech Edu's Hadoop Administration Certification Training provides you with proficiency in all the steps required to operate and sustain a Hadoop Cluster which includes Planning, Installation and Configuration through load balancing, Security and Tuning.
  • OL Tech Edu’s training will provide hands-on preparation for the real-world challenges faced by Hadoop Administrators.
  • The course curriculum follows Apache Hadoop distribution.

Skills That You Will Be Learning With
What are the skills that you will be learning with OL Tech Edu's Hadoop Administration Training?Hadoop Administration Certification Training will help you harness and sharpen all the Big Data skills required for you to become an industry level practitioner by providing you guidance from an industry level expert. Through exhaustive hands-on experience and industry level projects you will gain the following skills:
  • Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator's role.
  • Plan and Deploy a Hadoop Cluster.
  • Load Data and Run Applications.
  • Configuration and Performance Tuning.
  • How to Manage, Maintain, Monitor and Troubleshoot a Hadoop Cluster?
  • Cluster Security, Backup, and Recovery.
  • Insights on Hadoop 2.x, Name Node High Availability, HDFS Federation, YARN, MapReduce v2.
  • Pig, HBase, Oozie, Hcatalog/Hive, and HBase Administration and Hands-On Project.

Go For Hadoop Administration Certification Training
Why should you go for Hadoop Administration Certification Training?
  • Every second petabyte over petabytes of data is being generated all across the globe. Given the amount of data being produced, it is near obvious that Big Data Skills are in high demand at the moment. Hadoop, a big data framework, written in Java, helps data analysts perform distributed data analysis using simple programming models(MapReduce, YARN, HDFS). So people with Big Data Analytics skills who are proficient with the Hadoop framework tend to be hired before anybody else with salaries ranging from $110,000 - $130,000.

Who Should Go For Hadoop Administration Certification
Who should go for Hadoop Administration Certification?The market for Big Data analytics is constantly growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals with the required skills. OL Tech Edu's Hadoop Admin Certification Training helps you to grab this opportunity and accelerate your career. It is best suited for:
  • Linux / Unix Administrators.
  • Database Administrators.
  • Windows Administrators.
  • Infrastructure Administrators.
  • System Administrators.

Pre Requisites For This Hadoop Administration Certification Course
What are the pre-requisites for this Hadoop Administration Certification Course?
  • There are no pre-requisites as such for Hadoop Administration Training, but basic knowledge of Linux command line interface will be considered beneficial. To ensure that you miss out on anything, OL Tech Edu also offers a complementary self-paced course on "Linux Fundamentals" to all the Hadoop Administration course participants.

Course Certification

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Features

Explore step by step paths to get started on your journey to Jobs of Today and Tomorrow.

Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes.
Weekend Class : 10 sessions of 3 hours each.

Real Life Case Studies

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various real life solutions / services.

Assignments

Assignments

Each class will be followed by practical assignments.

24 x 7 Expert Support

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

Certification

Certification

Towards the end of the course, OL Tech Edu certifies you for the course you had enrolled for based on the project you submit.

Course FAQ's

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