Hadoop administration certification training

Hadoop administration certification training
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About the Hadoop Administration Certification Training

Hadoop Administration training helps you gain expertise to maintain large and complex Hadoop Clusters by Planning, Installation, Configuration, Monitoring & Tuning. Understand Security implementation using Kerberos and Hadoop v2 features using real-time use cases.

About ProICT

Who are we? ProICT LLC, is a registered online training provider found and led by the group of IT working professionals and experts. Our trainers are not only highly experienced and knowledgeable but also current IT working Professionals leading IT companies in USA, UK, Canada and other countries. We are ready to share our knowledge and years  of working experience with other professionals to assist and guide them  get ahead in career.


Learning Objectives: In this module, you will understand what is Big Data and Apache Hadoop. You will also learn how Hadoop solves the Big Data problems, Hadoop Cluster Architecture, its core components & ecosystem, Hadoop data loading & reading mechanism and role of a Hadoop Cluster Administrator. 
 
Topics:
  • Introduction to big data
  • limitations of existing solutions
  • Hadoop architecture
  • Hadoop components and ecosystem
  • data loading & reading from HDFS
  • replication rules
  • rack awareness theory
  • Hadoop cluster administrator: Roles and responsibilities
Learning Objectives: In this module, you will understand different Hadoop components, understand the working of HDFS, Hadoop cluster modes, configuration files, and more. You will also understand the Hadoop 2.0 cluster setup and configuration, setting up Hadoop Clients using Hadoop 2.0 and resolve problems simulated from a real-time environment. 
 
Topics:
  • Hadoop server roles and their usage
  • Hadoop installation and initial configuration
  • Deploying Hadoop in a pseudo-distributed mode
  • Deploying a multi-node Hadoop cluster
  • Installing Hadoop Clients
  • Understanding the working of HDFS and resolving simulated problems
Learning Objectives: In this module you will understand the working of the secondary namenode, working with Hadoop distributed cluster, enabling rack awareness, maintenance mode of Hadoop cluster, adding or removing nodes to your cluster in an ad-hoc and recommended way, understand the MapReduce programming model in the context of Hadoop administrator and schedules. 
 
 
Topics:
  • Understanding secondary namenode
  • Working with Hadoop distributed cluster
  • Decommissioning or commissioning of nodes
  • Understanding MapReduce
  • Understanding schedulers and enabling them
Learning Objectives: In this module, you will understand the day to day cluster administration tasks, balancing data in a cluster, protecting data by enabling trash, attempting a manual failover, creating backup within or across clusters, safeguarding your metadata and doing metadata recovery or manual failover of NameNode recovery, learn how to restrict the usage of HDFS in terms of count and volume of data, and more. 
 
 Topics:
  • Key Hadoop Admin Commands
  • Trash
  • Import Check Point
  • Distcp, data backup, and recovery
  • Enabling trash
  • Namespace count quota or space quota
  • Manual failover or metadata recovery
Learning Objectives: In this module, you will gather insights around cluster planning and management, learn about the various aspects one needs to remember while planning a setup of a new cluster, capacity sizing, understanding recommendations and comparing different distributions of Hadoop, understanding workload and usage patterns and some examples from the world of big data. 
 
Topic:
  • Planning a Hadoop 2.0 cluster
  • Cluster sizing, hardware
  • Network and software considerations
  • Popular Hadoop distributions
  • Workload and usage patterns
  • Industry recommendations
Learning Objectives: In this module, you will learn more about the new features of Hadoop 2.0, HDFS High Availability, YARN framework and job execution flow, MRv2, federation, limitations of Hadoop 1.x and setting up Hadoop 2.0 Cluster setup in pseudo-distributed and distributed mode. 
 
Topic:
  • Limitations of Hadoop 1.x
  • Features of Hadoop 2.0
  • YARN framework
  • MRv2
  • Hadoop high availability and federation
  • YARN ecosystem and Hadoop 2.0 Cluster setup
Learning Objectives: In this module, you will learn to setup Hadoop 2 with high availability, upgrading from v1 to v2, importing data from RDBMS into HDFS, understand why Oozie, Hive, and HBase are used and working on the components. 
 
Topics:
  • Configuring Hadoop 2 with high availability
  • upgrading to Hadoop 2
  • working with Sqoop
  • understanding Oozie
  • working with Hive
  • working with HBase
Learning Objectives: In this module, you will learn about Cloudera manager to setup Cluster, optimizations of Hadoop/Hbase/Hive performance parameters and understand the basics on Kerberos. You will learn to setup Pig to use in local/distributed mode to perform data analytics. 
 
Topics:
  • Cloudera manager and cluster setup
  • Hive administration
  • HBase architecture
  • HBase setup, Hadoop/Hive/HBase performance optimization
  • Pig setup and working with a grunt, why Kerberos and how it helps

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 2.0, Name Node High Availability, HDFS Federation, YARN, MapReduce v2
  • 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.
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. You can also create an account with AWS EC2 and use 'Free tier usage' eligible servers to create your Hadoop Cluster on AWS EC2. This is the most preferred option and Edureka provides you a step-by-step procedure guide which is available on the LMS. 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
  • Setting up space-quota projects with various holistic parameters
  • Configuring rack awareness and finding out rack distribution through specific commands  

 

"You will never lose any lecture. 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."
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment 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 the 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.
You can give us a CALL at +91 88808 62004/1800 275 9730 (US Tollfree Number) OR email at sales@edureka.co
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