Big Data Tutorial For Beginners | Big Data Full Course | Learn Big Data Step By Step | Simplilearn
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Загружено: Nov 11, 2019
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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.
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
Watch more videos on Big Data Training: • What is Big Data | What Is Hadoop and...
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This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.
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Implementing Security Requirements
Data Protection
Encryption Techniques
Data Governance and Compliance Controls
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