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Published on December 8, 2016 by Edureka
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This Edureka Hadoop Architecture Tutorial will help you understand the architecture of Apache Hadoop in detail. Below are the topics covered in this Hadoop Architecture Tutorial:

1) Hadoop Components
2) DFS – Distributed File System
3) HDFS Services
4) Blocks in Hadoop
5) Block Replication
6) Rack Awareness
7) HDFS Architecture
8) HDFS Read/Write Mechanisms
9) Hadoop HDFS Commands

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#HadoopArchitecture #HDFSArchitecture #HDFSReadWrite #HadoopCommands #HDFSCommands

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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Twitter: twitter.com/edurekain
LinkedIn: www.linkedin.com/company/edureka

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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20 Comments on "Hadoop Architecture | HDFS Architecture | Hadoop Tutorial | Edureka"

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prachi agrawal
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prachi agrawal
7 months 12 days ago

How DataNode1 knows about datanode4?

edureka!
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edureka!
7 months 11 days ago

Hey Prachi, thanks for checking out our tutorial! The Application Master is the one that handles communication between DataNodes.So DataNode1 and DataNode2 are connected via Application Master. Hope this helps. Cheers!

Mohammed Abdul Bari
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Mohammed Abdul Bari
7 months 13 days ago

Hi edureka, I want to take the hadoop course that you guys are offering, is there any email address that i can get to contact you guys.

edureka!
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edureka!
7 months 13 days ago

+Mohammed Abdul Bari, thanks for checking out our tutorial and for your interest. We can definitely help you there. You can get in touch with us at +91 88808 62004  or simply write to us at sales@edureka.co. You can even register online here: www.edureka.co/big-data-and-hadoop. Alternatively, you can share your contact details with us (we will not make the comment public) and we will get in touch with you. Hope this helps. Cheers!

Vaibhav Kumar
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Vaibhav Kumar
7 months 23 days ago

HI Team Greetings!!!Please do let me know is there any coming batch of the instructor in the video . i need to join asap .Thanks ..

edureka!
Guest
edureka!
7 months 23 days ago

Hey Vaibhav, we have shared your contact details with the relevant team. You can expect to hear from them very soon. Since this instructor does not have any batches coming up, they will share sample class recordings for instructors who have upcoming batches. You can take a look and decide. 🙂 Please feel free to get in touch if you have any questions. Hope this helps. Cheers!

edureka!
Guest
edureka!
7 months 23 days ago
Hey Vaibhav, thanks for checking out our tutorial and for your interest. While we do not have any upcoming batches led by this instructor, we have upcoming batches by other top-rated instructors who have trained hundreds of professionals. You can check out the batch dates here: www.edureka.co/big-data-and-hadoop. If you would like to take a look at the sample class recordings of the other instructors, please share your contact details with us here (we will not publish the comment) or inbox us on FB and we will send you the links. Alternatively, you can also call us at +91 88808 62004 . Hope… Read more »
Chetan Paithane
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Chetan Paithane
7 months 23 days ago

Very nice explanation. How does HDFS manage metadata on name node? Quick explanation will certainly help.

Chetan Paithane
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Chetan Paithane
7 months 19 days ago

Thanks for the information.

edureka!
Guest
edureka!
7 months 19 days ago
Hey Chetan, maybe this would help.Persistence of HDFS metadata broadly breaks down into 2 categories of files:1) fsimage – An fsimage file contains the complete state of the file system at a point in time. Every file system modification is assigned a unique, monotonically increasing transaction ID. An fsimage file represents the file system state after all modifications up to a specific transaction ID.2) Edits – An edits file is a log that lists each file system change (file creation, deletion or modification) that was made after the most recent fsimage.*  Checkpointing is the process of merging the content of… Read more »
Chetan Paithane
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Chetan Paithane
7 months 19 days ago
Thanks for the reply. My question was a bit different though. Let me elaborate it more with example of reiserfs.1. If one wants to create a file or directory in reiserfs, reiserfs btree code creates an inode.2. At the time of writing the inode on disk (stat data is on-disk representation of inode), the stat data item is inserted into B+ tree.3. Dirent is inserted into parent directory.3. Whenever, lookup for the file happens, the b+ tree is searched using key-value pair to retrieve information.=======My question : How does HDFS manage metadata of files/directories on name node? Explanation would be… Read more »
edureka!
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edureka!
7 months 23 days ago
Hey Chethan, thanks for checking out our tutorial! We're glad you liked it. Here's the answer to your query:The HDFS namespace is stored by the NameNode. The NameNode uses a transaction log called the EditLog to persistently record every change that occurs to file system metadata. For example, creating a new file in HDFS causes the NameNode to insert a record into the EditLog indicating this. Similarly, changing the replication factor of a file causes a new record to be inserted into the EditLog. The NameNode uses a file in its local host OS file system to store the EditLog.… Read more »
jaya sharma
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jaya sharma
7 months 27 days ago

I have gone through the videos and all of them are very useful.I have a doubt here : rack means different machines at one physical location and connected to each other. As said by you rack have data nodes.Then will it be correct if i say that different computers listed in a rack are data nodes?

edureka!
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edureka!
7 months 26 days ago
+Jaya Sharma, thanks for checking out our tutorial! We're glad you found it useful. Rack is like a a container, which contains the data node, and which is nothing but a computing machine, and which contains the actual data, So if the data is very big, and comes to rack, then the data is distributed among the data nodes, that  can be recollect as a single unit (which will be a merged output from all the data-nodes which kept the data). Theses things are maintained by hadoop framework, which means, in what amount the data should be divided among the… Read more »
Omar Ayman
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Omar Ayman
7 months 29 days ago

how can i download hadoop software or where to find it..thanks in advance

edureka!
Guest
edureka!
7 months 26 days ago

Hey Omar, thanks for checking out our tutorial! Kindly use the bellow link to download Hadoop Software.www-eu.apache.org/dist/hadoop/common/Cheers!

sang
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sang
8 months 2 days ago

Very nice explaination !!Just a quick question on HDFS multi-block write mechanism which is explained at 40th minute.Here 1st and 2nd copy of block B is getting written into same rack [ Rack 5].2nd copy of block B was supposed to be in different rack right? 2nd and 3rd copy can be in same rack but not the 1st and 2nd copy.

edureka!
Guest
edureka!
8 months 2 days ago

+sang, thanks for checking out our tutorial! We're glad you found it useful. You are right. Block B-copy should be first copied to Rack1 datanode3. then to Rack3 datanode9. Cheers!

Amit Bukshet
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Amit Bukshet
9 months 1 day ago

Very good explanation. thanks.

edureka!
Guest
edureka!
9 months 2 hours ago

Hey Amit, thanks for your wonderful feedback. We thought you might be interested in learning through Hadoop use cases. You can check out the videos here:

. Hope this helps. Cheers!

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