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Published on December 16, 2016 by Edureka
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Check out our MapReduce Tutorial blog: goo.gl/z4bT5h
Check our complete Hadoop playlist here: goo.gl/ExJdZs
This Edureka MapReduce Tutorial will help you understand the basic concepts of Hadoop’s processing component – MapReduce. Below are the topics covered in this MapReduce Tutorial:

1) What is Hadoop MapReduce?
2) MapReduce In Nutshell
3) Advantages of MapReduce
4) Hadoop MapReduce Approach with an Example
5) Hadoop MapReduce/YARN Components
6) YARN With MapReduce
7) Yarn Application Workflow
8) Running a MapReduce Program

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How it Works?

1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:

1. Master the concepts of HDFS and MapReduce framework
2. Understand Hadoop 2.x Architecture
3. Setup Hadoop Cluster and write Complex MapReduce programs
4. Learn data loading techniques using Sqoop and Flume
5. Perform data analytics using Pig, Hive and YARN
6. Implement HBase and MapReduce integration
7. Implement Advanced Usage and Indexing
8. Schedule jobs using Oozie
9. Implement best practices for Hadoop development
10. Work on a real life Project on Big Data Analytics
11. Understand Spark and its Ecosystem
12. Learn how to work in RDD in Spark

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Who should go for this course?

If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career:
1. Analytics professionals
2. BI /ETL/DW professionals
3. Project managers
4. Testing professionals
5. Mainframe professionals
6. Software developers and architects
7. Recent graduates passionate about building successful career in Big Data

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Why Learn Hadoop?

Big Data! A Worldwide Problem?

According to Wikipedia, “Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.” In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!

The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is – Hadoop, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.

Please write back to us at sales@edureka.co or call us at +91 88808 62004 for more information.

Website: www.edureka.co/big-data-and-hadoop
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Customer Review:

Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favorite feature is viewing a previous class. 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!!! 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.”

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9 Comments on "MapReduce Tutorial | What is MapReduce | Hadoop MapReduce Tutorial | Edureka"

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Chetan Paithane
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Chetan Paithane
7 months 12 days ago

It is a great explanation ! Thanks. I have a question : What happens when one of mapper executing map-reduce job fails?

Chetan Paithane
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Chetan Paithane
7 months 11 days ago

Thanks for reply. It helps.

edureka!
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edureka!
7 months 11 days ago

Hey Chetan, thanks for checking out our tutorial! MR is a fault tolerant framework. When a Map task fails (streaming API or Java API) the behaviour is the same. Once the job tracker is notified that the task has failed it will try and reschedule the task. The temporary output generated by the failed task is deleted. Hope this helps. Cheers!

M.Z Tabbara
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M.Z Tabbara
7 months 14 days ago

Hi Edureka,great videos I really enjoy it, I have a question. I followed your example and I created an input file with the data Dear bear etc… and I copied it into dfs and I can actually read it there on the DFS root… When I executed the command with wordcount… everything seems to work fine and the output folder is created but the part-r-0000 file is not created and I have a job failed as task failed failedmaps:1 failedReduce:0any suggestions?

edureka!
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edureka!
7 months 11 days ago
+M.Z Tabbara, thanks for checking out our tutorial! With regard to the error you're getting, there can be multiple reasons, for instance, some of the deamons are not running. So to get that running, please follow the below given steps:Open terminal and typesudo service hadoop-master restart —>ENTERThen check the deamonssudo jps —–ENTERAfter the above commands you must get the following deamons running,[edureka@localhost ~]$ sudo jps;[sudo] password for edureka:5840 ResourceManager5896 NodeManager5671 NameNode13071 Jps5957 JobHistoryServer5749 DataNode[edureka@localhost ~]$After doing the above, try to execute the map reduce code.There could also be a mistake in the dataset or in the code.Please check the dataset… Read more »
jasmeen kaler
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jasmeen kaler
7 months 14 days ago

great explanation…great..

Ravi Khandelwal
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Ravi Khandelwal
8 months 7 days ago

what are we missing in Hadoop if we just learn by your online videos …

Ravi Khandelwal
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Ravi Khandelwal
8 months 6 days ago

Thanks ..Will check your site for the course reg…

edureka!
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edureka!
8 months 7 days ago
Hey Ravi, thanks for checking out our tutorial! While these tutorials will give you an introduction and good start to Hadoop, you would be missing out on 1. Interactivity (our live classes are highly interactive) and support from the instructor. 2. Live project component because theoretical training will only help you to a certain extent. (In our course, you'll work on a live project on any of the selected use cases, involving Big Data Analytics using MapReduce, Pig, Hive, Flume and Sqoop)3. 24X7 support, 365 days of the year, because your training does not end with the classes. Our experts… Read more »
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