Big Data Tutorial For Beginners | Big Data Full Course | Learn Big Data Step By Step | Simplilearn

In this full course video on Big data, you will learn about Big data, Hadoop, and Spark. First, we will look into a big data tutorial, the challenges in big data, and how Hadoop solves these challenges. You will learn how to install Hadoop, then understand the various components of Hadoop that are HDFS, MapReduce, and YARN. HDFS will teach you how to store big data, and MapReduce will show you how to process this big data. In YARN, you will learn how cluster resource management works. In addition to these components, you will also look into the Hadoop ecosystem, which consists of Hive, Pig, Sqoop, and HBase.

?Free Big Data Hadoop & Spark Developer Course: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=Hadoop&utm_medium=Description&utm_source=youtube

Below topics are explained in this Big Data full course video:
1.Evolution of Big Data - 00:58
2.Why Big Data? - 05:38
3.What is Big Data? - 10:18
4.5 V's of Big Data - 11:48
5.Challenges of Big Data - 24:18
6.Hadoop as a Solution - 27:58
7.Cloudera Hadoop Installation - 30:28
8.Hadoop Ecosystem - 58:39
9.Hadoop Distributed File System - 1:07:00
10.MapReduce Analogy - 1:46:40
11.What is MApReduce? - 1:48:40
12.Parallel Processing-MapReduce - 1:54:20
13.MapReduce Workflow - 1:54:50
14.MapReduce Architecture - 2:01:50
15.Hadoop 1.0(MR 1) - 2:29:50
16.Limitations of Hadoop 1.0(MR 1) - 2:34:30
17.Need for YARN - 2:36:40
18.What is YARN? - 2:39:30
19.YARN Components - 2:41:30
20.YARN Components-Node MAnager -2:49:40
21.What is Sqoop? - 3:35:31
22.Sqoop Features - 3:36:01
23.Sqoop Architecture - 3:37:10
24.What is Apache Spark? - 5:53:02
25.History of Apache Spark - 5:53:32
26.Apache Spark Installation on Windows - 6:30:52
27.Apache Spark Installation on ubuntu - 7:01:42
28.YARN - 8:10:48

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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

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

Learn more at: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=BigData-Full-Course-KcecJfxbd-4&utm_medium=Tutorials&utm_source=youtube

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