Big Data & Hadoop Full Course - Learn Hadoop In 10 Hours | Hadoop Tutorial For Beginners | Edureka

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

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[edurekaIN]

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

[mahimabansal]

Right.. I have enrolled in Upgrad but where ever I fails to understand the concept.. i always check Edureka videos.. Simply the best

[cesneaks]

You guys have excellent presentation skills. Love Edureka!

[Vivian-veqt]

GREAT COURSE! I had to study Hadoop for university and found this very helpful. Thanks!!

[tamoghnopramanik]

Thanks! Edureka. This video is very insightful and of a lot of help to the beginners

[dysfunctionalism]

one of the most informational videos ive seen. thanks a lot

[shwetaredkar]

Thanks, Edureka!! I was waiting for this video for a long. Also, If you do a video on deep learning besides MNIST dataset or any other image classification that would be great. I am looking for a structured dataset like a dataset which has observations and 1000 features in a .csv file or so.

[dhv]

I wish there were subtitles but overall, it was a great crash course! Thank you.

[AmanPal-rtsy]

Great video. Thanks edureka for all in one course complete video

[lizravenwood]

yet again, another amazing video by Edureka. I always know when I find any of your stuff, it will be excellent. Good reputation.

[princeh]

This video is amazing I’m on a job now and it’s helping tremendously thank you edureka.👍🏽

[aaronjung]

This is the best tutorial about hadoop! thank you edureka!

[subramanianchenniappan]

Thank you. I am an experienced java developer but handson with hadoop and hive in 3 projects. This tutorial is helpful to me for interview preparation

[TannerBarcelos]

Restaurant analogy really brought it all together in understanding Hadoop and how the whole realm of data analytics and distributed computing come together. Awesome stuff!

[tapanjeetroy]

Thanks a lot for uploading it.. It was a great help to brush up my knowledge about the subject

[someone]

What a great course! Well explained, loved the examples, it just makes it too easy to understand the concept! Thank you

[saradhikarempudi]

Great Video!. missed explaining about the client node.

[invisibledog]

what a great resource for learning big data and hadoop specifically. You have my kindest thanks!

[RiteshSingh-juhu]

Thank u Edureka to provide free knowledge for every aspirant, Love u...

[vickyvinay]

You started from basics and when you started showing the installation of Hadoop, from where did you get the terminal?