Hadoop Admin Online Training | Hadoop Admin Certification Course | Edureka

Hadoop Administration Certification Training


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Why should you take Hadoop Administration course ?

  • Hadoop Market is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015 - Forbes
  • Average Salary of Hadoop Administrators is $122k (Payscale salary data)
  • Hadoop and NoSQL software and services are the fastest growing technologies in the market - Technology Research Organization
  • 24K + satisfied learners. Reviews
About the Course

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

Instructor-led Hadoop Administration live online classes

24

Nov
Sat - Sun ( 4 Weeks )
10:00 AM - 01:00 PM ( EST )
10% Off
17795
16015
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22

Dec
Sat - Sun ( 4 Weeks )
10:00 AM - 01:00 PM ( EST )
10% Off
17795
16015
Select This Batch
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    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
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    Edureka'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. Edureka’s training will provide hands-on preparation for the real-world challenges faced by Hadoop Administrators. The course curriculum follows Apache Hadoop distribution.
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
"The world is one Big Data problem." 
-Andrew McAfee

    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.
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. Edureka'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
    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, Edureka also offers a complementary self-paced course on "Linux Fundamentals" to all the Hadoop Administration course participants.

Edureka’s Hadoop Administrator Certificate Holders work at 1000s of companies like

5000 Total number of reviews
4.57 Aggregate review score
80% Course completion rate
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    Your system should have minimum 8GB RAM and i3 processor or above.
    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.
Through the run time of the course, you will be solving a plethora of live projects which are inspired by actual industry problems faced in the Big Data sector. These projects include activities like:
  • Setting up complex Hadoop Cluster with a minimum of 2 Nodes
  • Creating and copying custom files to Hadoop Distributed File System (HDFS)
  • Deploying files to HDFS with custom block sizes
  • Installing and configuring various Hadoop ecosystem components
  • Setting up space-quota projects with various holistic parameters
  • Configuring rack awareness and finding out rack distribution through specific commands
  • Securing Hadoop Cluster using Kerberos

Instructor-led Sessions

24 Hours of Online Live Instructor-Led Classes. Weekend Class: 8 sessions of 3 hours each.
Weekday Class:  12 sessions of 2 hours each.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Hadoop Administrator concepts.

Assignments

Each class will be followed by practical case-studies which can be completed before the next class.

Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

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

Edureka certifies you in Hadoop Administration Course based on the project reviewed by our expert panel.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.
"You will never miss a lecture at Edureka! You can choose either of the two options:
  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch."

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.
All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.

You can give us a CALL at +91 90660 20867/1844 230 6362 (US Tollfree Number) OR email at sales@edureka.co

You no longer need a credit history or a credit card to purchase this course. Using ZestMoney, we allow you to complete your payment with a EMI plan that best suits you. It's a simple 3 step procedure:
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