Technology Course

Hadoop Administration Certification Training

Course Type: Certification | Study Mode: Online
Keywords: hadoop tutorial | hadoop training | big data tutorial | big data tutorial | big data training | big data hadoop | what is hadoop | big data analytics | hdfs | cloudera | hadoop interview questions | big data technologyhadoop certification
Course Provider:

Course Detail


Understanding Big Data and Hadoop :- 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, about 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.

Curriculum Overview

Hadoop Architecture and Cluster setup :- Learning Objectives - In this module, you will understand different Hadoop components, understand working of HDFS, Hadoop cluster modes, configuration files, and more. You will also understand the Hadoop 1.0 cluster setup and configuration, setting up Hadoop Clients using Hadoop 1.0 and resolve problems simulated from 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 working of HDFS and resolving simulated problems.

Area Of Studies
Hadoop cluster Administration & Understanding MapReduce :- 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 adhoc and recommended way, understand MapReduce programming model in context of Hadoop administrator and schedulers.Topics - Understanding secondary namenode,working with Hadoop distributed cluster, Decommissioning or commissioning of nodes, understanding MapReduce, understanding schedulers and enabling them.
Backup, Recovery and Maintenance :- Learning Objectives - In this module, you will understand day to day cluster administration tasks, balancing data in cluster, protecting data by enabling trash, attempting a manual failover, creating backup within or across clusters, safe guarding 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 admin commands like Balancer, Trash, Import Check Point, Distcp, data backup and recovery, enabling trash, namespace count quota or space quota, manual failover or metadata recovery.
Hadoop 2.0 Cluster: Planning and Management :- 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 world of big data.Topics - Planning a Hadoop 2.0 cluster, cluster sizing, hardware, network and software considerations, popular Hadoop distributions, workload and usage patterns, industry recommendations.
Hadoop 2.0 and it's features :- Learning Objectives - In this module, you will learn more about 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. Topics 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.Setting up Hadoop 2.X with High Availability and upgrading Hadoop :- 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 of the components.Topics Configuring Hadoop 2 with high availability, upgrading to Hadoop 2, working with Sqoop, understanding Oozie, working with Hive, working with Hbase.
Project: Cloudera manager and Cluster setup, Overview on Kerberos :- Learning Objectives - In this module, you will learn about Cloudera manager to setup Cluster, optimisations of Hadoop/Hbase/Hive performance parameters and understand 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 grunt, why Kerberos and how it helps.
Entry Requirements
Who should go for the course?
Developers and Architects
BI /ETL/DW professionals
Senior IT Professionals
Testing professionals
Mainframe professionals
Other Information
Michael Harkins:
The courses are top rate. The best part is live instruction, with playback. You get all the presentations and labs. Great instructions. But my favorite feature is viewing a previous class. They provide a set of videos from a previous session, so you can watch the course before you participate. This way you can get the most out of the course. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! I have taken so many courses and then not really gotten to work with a technology until I forgot most of what was taught. Edureka lets you go back later, when your boss says "I want this ASAP!" ~ This is the killer education app... I've take two courses, and I'm taking two more. Love these guys.
Neelesh Gurjar:
I completed Hadoop Administration course from Edureka. It was awesome learning experience. I also could complete Cloudera Certification after this course and reading couple of books in addition. Here are few pro and cons: Pros - - Trainer was very good. - Content, Presentation was excellent - Practice tests were also great and was actually making us to remember key stuff. Cons - - It would be better if there is a facility to increase speed of recorded videos, LinuxAcademy has that kind of facility. - It would be better if Notes in Notepad, is properly formatted. Overall experience was just awesome. Good Work Edureka !
Sateesh Raju:
Thanks to edureka for providing excellent training on Hadoop Admin course . I would to like to say thanks to support team for there advise and help when ever I faced any issues.
Koteswararao Gunji:
I have taken Hadoop administration course in Edureka and I am very satisfied about course content , pre-recorded classes and life time support from experts of respective technology. I recommend Edureka is best for corporate leanings and all cutting edge technologies/tool/languages.
Venkata Modugula:
I took hadoop dev, admin and amazon web services courses. Instructors are knowledgeable and classes are very clear. Its great convenience that we have access to the course recorded classes for life time.