Hadoop Tutorial For Beginners | Hadoop Full Course In 10 Hours | Big Data Tutorial | Simplilearn

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This full course video on Hadoop will introduce you to the world of big data, the applications of big data, the significant challenges in big data, and how Hadoop solves these major challenges. You will get an idea about the essential tools that are part of the Hadoop ecosystem. You will learn how Hadoop stores vast volumes of data using HDFS, and processes this data using MapReduce. You will understand how cluster resource management works using YARN. It will make you know how you can query and analyze big data using tools and frameworks like Hive, Pig, Sqoop, and HBase. These of these tools will give a hands-on experience that will help you understand it better. Finally, you will see how to become a big data engineer and come across a few important interview questions to build your career in Hadoop. Now, let's get started and learn Hadoop.

The below topics are covered in this Hadoop full course tutorial:
Evolution of Big Data - 01:21
Why Big Data - 06:08
What is Big Data - 10:47
5V's of Big Data - 12:13
Big Data Case Study - 18:20
Challenges of Big Data - 24:46
Hadoop as a Solutions - 28:24
History of Hadoop - 36:04
Cloudera Hadoop Installation - 37:17
Hadoop Installation on Ubuntu - 57:29
Hadoop Ecosystem - 2:03:14
HDFS Tuitorial - 2:03:45
Why HDFS? - 2:04:17
What is HDFS? - 2:05:30
HDFS Cluster Architecture - 2:09:40
HDFS Data Blocks - 2:11:11
DataNode Failure and Replication - 2:13:19
Rack Awareness in HDFS - 2:15:59
HDFS Architecture - 2:17:01
HDFS Read Mechanism - 2:20:00
HDFS Write Mechanism - 2:24:10
HDFS Write Mechanism with example - 2:27:13
Advantages of HDFS - 2:28:17
HDFS Tuitorial - 2:29:37
MapReduce Analogy - 2:45:14
What is MapReduce? - 2:47:11
Parallel Processing MapReduce - 2:52:51
MapReduce Workflow - 2:53:31
MapReduce Architecture - 3:00:24
MapReduce Example - 3:28:04
Hadoop 1.0 (MR 1) - 3:55:39
Limitations of Hadoop 1.0 (MR 1) - 4:00:12
Need for YARN - 4:02:25
Solution - Hadoop 2.0 (YARN) - 4:04:15
What is YARN? - 4:05:13
Workloads running on YARN - 4:06:33
YARN Components - 4:07:20
YARN Components - Resource Manager - 4:12:10
YARN Components - Node Manager - 4:15:30
YARN Architecture - 4:25:40
Running an application in YARN - 4:26:30
Need for Sqoop - 5:00:00
What is Sqoop - 5:01:06
Sqoop Features - 5:01:39
Sqoop Architecture - 5:02:49
Sqoop Import - 5:04:03
Sqoop Export - 5:04:53
Sqoop Processing - 5:06:37
Demo on Sqoop - 5:27:31
Flume - 5:27:36
Hadoop Ecosystem - 5:28:49
History of Hive - 5:29:09
Big Data Analytics - 7:13:45
Big Data Applications - 7:37:08
How to become a Big Data Engineer - 7:50:13
Hadoop Interview Questions - 7:58:01

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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.

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=Introduction-To-Hadoop-ID&utm_medium=Tutorials&utm_source=youtube

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YouTube url:	https://www.youtube.com/watch?v=5zJt9qAe01w
Created:	6. 10. 2021 18:40:29

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Hadoop Tutorial For Beginners | Hadoop Full Course In 10 Hours | Big Data Tutorial | Simplilearn