What Is Hadoop? | Introduction To Hadoop | Hadoop Tutorial For Beginners | Simplilearn

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This Hadoop tutorial will help you understand what is Big Data, what is Hadoop, how Hadoop came into existence, what are the various components of Hadoop and an explanation on Hadoop use case. Below topics are explained in this Hadoop tutorial:

Below topics are explained in this Hadoop tutorial:
(02:30)The rise of Big Data
(06:31)What is Big Data?
(09:40)Big Data and its challenges
(11:17)Hadoop as a solution
(11:31)What is Hadoop?
(11:51)Components of Hadoop
(25:16)Use case of Hadoop

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Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ

#Hadoop #WhatIsHadoop #BigData #Hadooptutorial #HadoopTutorialForBeginners #LearnHadoop #HadoopTraining #HadoopCertification #SimplilearnHadoop #Simplilearn

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

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

Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=What-is-Hadoop-iANBytZ26MI&utm_medium=Tutorials&utm_source=youtube

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44 thoughts on “What Is Hadoop? | Introduction To Hadoop | Hadoop Tutorial For Beginners | Simplilearn”
  1. people who teach using visual parables that are relatable and easy to understand and ingest are SO UNDER APPRECIATED. Thanking you.

  2. Is commodity hardware deployed on Cloud or cheap resource that can be purchased& used in-house ?

  3. I love the teaching and useful knowledge you provide for us. Although my ears hurt either cuz the mic is too close to the mouth or something else, so I can’t even finish watching these amazing videos, unfortunately

  4. You just gained a subscriber! Great introduction, by far better than my professors 3-hour lecture teaching basically the same content. Thanks, and keep up the good work!

  5. The audio quality is horrible. The speech is quite understandable, however due to poor sound, it's almost impossible to listen the video till the end. Just a friendly advice – consider buying better microphone, nowadays good mics are really affordable and don't cost a lot.

  6. This is a detailed introductory class to Hadoop. I hope to get more of this in the nearest future.

  7. wow, it was an awesome introduction of hadoop. I am looking into what's next and how to I become hadoop developer and where to start as a first step?

  8. one of the best hadoop/big data video I have viewed explaining the concept in such a simple yet detailed manner. Thank you soo much!

  9. The audio quality is awful to listen to. Why would you spend that much time and effort on producing content this good, but then use the worst possible microphone??

  10. There are gaps in architecture of Hadoop as explained in this tutorial, otherwise overall it is good start

  11. Iam a graduate with commerce background….I don't had any idea about IT …..Can i start learning hadoop is it possible….?….Iam passionate about it

  12. Thanks, I like your videos it's really "power-nap" for me, to know more things in short time.
    Please upload videos related to Artificial Intelligence, Natural Language Processing and Neural Networks.
    Thank you.

  13. 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!

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