Hadoop Architecture | HDFS Architecture | Hadoop Architecture Tutorial | HDFS Tutorial | Simplilearn

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This Hadoop architecture tutorial will help you understand what is Hadoop, the components of Hadoop, what is HDFS, HDFS architecture, Hadoop MapReduce, Hadoop MapReduce example, Hadoop YARN and finally a demo on MapReduce.
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Below are the topics covered in this Hadoop Architecture Tutorial:
1. What is Hadoop? (03:19)
2. Components of Hadoop (03:44)
3. What is HDFS? (05:02)
4. HDFS Architecture (12:52)
5. Hadoop MapReduce (01:04:45)
6. Hadoop MapReduce Example (01:13:08)
7. Hadoop YARN (44:17)
8. Demo on MapReduce (01:16:15)
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Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
Who should take up this Big Data and Hadoop Certification Training Course?
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
1. Software Developers and Architects
2. Analytics Professionals
3. Senior IT professionals
4. Testing and Mainframe professionals
5. Data Management Professionals
6. Business Intelligence Professionals
7. Project Managers
8. Aspiring Data Scientists
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Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!

[@arulfranklin2415]

Your explanation is awesome.

[@SimplilearnOfficial]

Thanks for appreciating our work! Do support us subscribing to our channel and stay connected!

[@ghtelugu7115]

Awesome ...kudos for team

[@SimplilearnOfficial]

Hey Hari, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)

[@garythomas9413]

Excel Submission. Thank you Simplilearn. What would you recommend as a follow up to this tutorials to leverage the training gained here and building up practical use of technical know how?

[@SimplilearnOfficial]

Now that you have a good understanding of Hadoop and working architecture of important components in Hadoop, I will recommend you to scale up and understand the different tools present in Hadoop Ecosystem. Start with tools such as Sqoop, HBase, Hive, Mahout, Zookeeper, and Oozie. This will further enhance you understanding of Hadoop.

[@arulfranklin2415]

Could Please give your videos shortly and arrange lists also that much better.

[@SimplilearnOfficial]

Hey Franklin, thank you for watching our video and for the honest feedback. We will definitely look into this. Do subscribe, like and share to stay connected with us. Cheers :)