Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 43 Minute(s)
Language
English
Taught by
IT Skills In Demand
Rating
Course Overview
Learn all the concepts related to Big Data and Hadoop in a simplified way
Do you find Big Data and Hadoop confusing? Aspire to become a Big Data or Hadoop professional? But not sure which course to enroll? Then this course is for you !
OVER 5000+ SUCCESSFUL STUDENTS HAVE ALREADY TAKEN THIS COURSE. 100% Satisfaction Guaranteed | RISK FREE INVESTMENT - 30 DAYS NO QUESTIONS ASKED MONEY BACK GUARANTEE. Course Overview:
- Most demanding and sought after skill of the decade.
- Secure your career by learning Big Data and Hadoop.
- Course taught using a very innovative and simplified method of teaching.
- Course covers all the topics related to Hadoop Adminsitration as well as Hadoop Development.
Course Description: In this course, you would be learning all the concepts and terminologies related to Big Data and Hadoop, such as the NameNode, Secondary NameNode, DataNode, JobTracker and TaskTracker, along with other concepts related to it such as what is meant by Rack Awareness and NameNode Federation in a simplified way. It also explains how the data is managed by the Hadoop Distributed File System (HDFS) and explains the process of reading and writing data onto the Hadoop Distributed File System. Later in the course you would also learn how to add or remove a DataNode or a TaskTracker to an existing cluster, how to check the HDFS for errors, Balancing the DataNode and so on. You would also learn all the concepts related to programming in MapReduce along with writing programs using MapReduce. Upon completion of this course, you would have a clear idea about, all the concepts related to the Hadoop, that should be sufficient to help you start off with Administering the Hadoop Cluster as well as Developing MapReduce Applications for Hadoop Cluster. All the Best and Happy Learning !
Course Content
- 9 section(s)
- 51 lecture(s)
- Section 1 Introduction to Big Data and Hadoop
- Section 2 Exploring HDFS
- Section 3 Exploring MapReduce
- Section 4 Understanding MapReduce Programming Framework
- Section 5 Installing a Single Node, Pseudo Hadoop Cluster on a Local Machine
- Section 6 Installing a Multi Node, Fully Distributed, Hadoop Cluster on a Local Machine
- Section 7 Amazon EC2 Basics
- Section 8 Maintaining a Hadoop Cluster
- Section 9 Programming with MapReduce
What You’ll Learn
- You would learn how to install and build up a Hadoop Cluster from scratch., You would understand all the key concepts associated with Big Data and Hadoop and their purpose., You would become proficient in administering or managing the Hadoop Cluster., You would also learn all the concepts related to programming in MapReduce., You would learn how to write programs using MapReduce.
Reviews
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TThangam
Excellent
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KKritika
Course content is good for beginners, instructor explained well , you will have good basic understanding of hadoop after this course but content is not updated. Hadoop1.x was used in this course and currently 2.10 and 3.x are being used . Even if this is beginner course, one should have basic linux commands knowledge , it will make things smooth for new users in hadoop.
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VVivek Arya
shittiest course, If you cant provide the answers to the questions asked in the tutorial, then better stop making tutorials. Don't waste the student's money.
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SSharfuddin Ansari
it is very well presented and far better than big institute who talks more and teach less. Since its a Mastering in Big Data and Hadoop I am now waiting for your next material and especially Running a MapReduce Application on Amazon Elastic MapReduce (EMR). and Cloudera and more other
