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| Name | Big Data & Hadoop Full Course - Learn Hadoop In 10 Hours | Hadoop Tutorial For Beginners | Edureka |
| Video Uploader | Video From edureka! |
| Upload Date | This Video Uploaded At 01-09-2019 04:30:00 |
| Video Discription | ๐ด ๐๐๐๐ซ๐ง ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐
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๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://edrk.in/DKQQ4Py This Edureka Big Data & Hadoop Full Course video will help you understand and learn Hadoop concepts in detail. This Big Data & Hadoop Tutorial is ideal for both beginners as well as professionals who want to master the Hadoop Ecosystem. Below are the topics covered in this Big Data & Hadoop Tutorial for Beginners video: 00:00 Agenda 2:37 Introduction to Big Data 8:22 What is Big Data? 9:32 5 V's of Big Data 15:02 Big Data as an Opportunity 18:27 IBM Big Data Analytics Use-Case 24:38 Big Data Analytics & Use-Case 32:43 What is Big Data Analytics? 33:28 Stages of Big Data Analytics 34:33 Types of Big Data Analytics 39:53 Big Data Analytics in Different Domains 46:38 Problems with Big Data: Restaurant Analogy 54:53 Apache Hadoop 56:18 Hadoop Master-Slave Architecture 1:00:38 HDFS 1:01:03 NameNode & DataNode 1:02:33 Secondary Namenode & Checkpointing 1:06:18 HDFS Data Blocks 1:11:18 HDFS Replication 1:12:48 HDFS Read/Write Mechanism 1:20:43 MapReduce 1:24:33 What is MapReduce? 1:25:43 MapReduce Word Count Program 1:42:13 YARN 1:43:38 MapReduce Job Workflow 1:47:28 YARN Architecture 1:48:33 Hadoop Architecture 1:49:38 Hadoop Ecosystem 1:50:53 Hadoop Cluster Mode 1:52:33 Hadoop Ecosystem 1:55:38 Hadoop Installation 2:08:03 MapReduce Examples 2:08:08 Weather Data Set Analysis 2:16:23 MapReduce Last.FM Example 2:24:13 Apache Sqoop Tutorial 2:26:03 What is Sqoop? 2:27:33 Features of Sqoop 2:28:43 Sqoop Architecture 2:30:48 Import Sqoop Command 2:38:23 Export Sqoop Command 2:40:03 List Database Command 2:42:28 Apache Flume Tutorial 2:45:18 Flume Architecture 2:46:58 Flume Twitter Streaming 2:52:23 Apache Pig Tutorial 2:55:18 Pig vs MapReduce 2:58:23 Twitter Case Study 3:04:48 Pig Architecture 3:05:48 Pig Components 3:09:38 Pig Data Models 3:14:33 Pig Commands 3:27:33 Apache Hive Tutorial 3:40:43 What is Hive? 3:43:23 PigLatin Vs HiveQL 3:47:09 Hive Architecture 3:50:19 Hive Components 3:51:24 Metastore 3:55:44 Hive Commands 3:56:44 Hive Setup 4:01:04 Type Systems 4:02:54 Hive Data Models 4:46:54 Hive Partitioning 4:56:44 Bucketing in Hive 5:44:19 External Table 5:48:49 Apache HBase Tutorial 6:13:05 Types of NoSQL Databases 6:21:36 History if HBase 6:23:06 HBase vs RDBMS 6:27:56 Uses of HBase 6:31:46 Companies Using HBase 6:41:03 HBase Operation 6:51:28 HBase Shell 7:16:38 Single Map 7:17:23 Multidimensional Map 7:18:03 Multidimensional Columns 7:20:33 Row vs Column Oriented Databases 7:22:33 HBase Data Models 7:25:03 HBase Physical Storage 7:28:43 HBase Architecture 7:30:48 HBase Components 7:31:04 HBase Read Write Mechanism 7:40:49 Compaction in HBase 7:41:49 HBase Shell 7:42:09 HBase Client API 7:42:24 Hadoop E-Commerce Projects 7:58:24 Distributed Cache 8:00:14 Code Sections 8:17:44 How to Become a Big Data Engineer? 8:18:24 Who is a Big Data Engineer? 8:19:14 Big Data Engineer Responsibilities 8:24:49 Big Data Engineer Skills 8:32:44 Big Data Engineer Learning Path 8:36:19 Big Data & Hadoop Interview Questions Edureka Big Data Training and Certifications ๐ต Edureka Hadoop Training: http://bit.ly/2YBlw29 ๐ต Edureka Spark Training: http://bit.ly/2PeHvc9 ๐ต Edureka Kafka Training: http://bit.ly/34e7Riy ๐ต Edureka Cassandra Training: http://bit.ly/2E9AK54 ๐ต Edureka Talend Training: http://bit.ly/2YzYIjg ๐ต Edureka Hadoop Administration Training: http://bit.ly/2YE8Nf9 ---------------------------- Instagram: https://www.instagram.com/edureka_learning Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka -------------------------- Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free). |
| Category | Education |
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