2015
Compaq learning / Udemy
1:00
English
With a tremendous data revolution happening across the globe, it has become difficult to process data using the traditional processing. On completion the participant will know to change the economics of data by knowing how to keep data online forever using Big Data and Hadoop.
This course mainly focuses on Big Data and Hadoop, providing a basic understanding of data storage giving an overview of commercial distributions along with other Hadoop ecosystem components such as Pig, Hive Sqoop, Zookeeper and MapReduce. You can take a glance at various concepts and components of Big Data and Hadoop,the course is divided into two sections of online content. The total duration of the course is 1 hour with an added advantage of 130 questions to check your knowledge in the areas covered.
Section 1: Big Data and Hadoop an Introduction
Lecture 1
Introduction to Big Data and Hadoop
00:13
Lecture 2
Objectives
00:25
Lecture 3
Need for Big Data
01:42
Lecture 4
Three Characteristics of Big Data
00:34
Lecture 5
Characteristics of Big Data Technology
01:52
Lecture 6
Appeal of Big Data Technology
00:49
Lecture 7
Handling Limitations of Big Data
00:49
Lecture 8
Introduction to Hadoop
01:00
Lecture 9
Hadoop Configuration
00:52
Lecture 10
Apache Hadoop Core Components
00:35
Lecture 11
Hadoop Core Components—HDFS
01:07
Lecture 12
Hadoop Core Components—MapReduce
00:44
Lecture 13
HDFS Architecture
01:12
Lecture 14
Ubuntu Server—Introduction
00:51
Lecture 15
Hadoop Installation—Prerequisites
00:26
Lecture 16
Hadoop Multi-Node Installation—Prerequisites
00:28
Lecture 17
Single-Node Cluster vs. Multi-Node Cluster
00:48
Lecture 18
MapReduce
01:08
Lecture 19
Characteristics of MapReduce
00:56
Lecture 20
Real-Time Uses of MapReduce
01:00
Lecture 21
Prerequisites for Hadoop Installation in Ubuntu Desktop 12.04
00:20
Lecture 22
Hadoop MapReduce—Features
00:52
Lecture 23
Hadoop MapReduce—Processes
00:47
Lecture 24
Advanced HDFS–Introduction
00:47
Lecture 25
Advanced MapReduce
00:54
Lecture 26
Data Types in Hadoop
01:15
Lecture 27
Distributed Cache
00:41
Lecture 28
Distributed Cache (contd.)
00:39
Lecture 29
Joins in MapReduce
00:43
Lecture 30
Introduction to Pig
00:39
Lecture 31
Components of Pig
00:59
Lecture 32
Data Model
00:47
Lecture 33
Pig vs. SQL
01:07
Lecture 34
Prerequisites to Set the Environment for Pig Latin
00:19
Quiz 1
Assessment Test Paper 1
21 questions
Lecture 35
Summary
00:55
Section 2: Hive, HBase and Hadoop Ecosystem Components
Lecture 36
Hive, HBase and Hadoop Ecosystem Components
00:19
Lecture 37
Objectives
00:23
Lecture 38
Hive—Introduction
00:54
Lecture 39
Hive—Characteristics
01:20
Lecture 40
System Architecture and Components of Hive
00:17
Lecture 41
Basics of Hive Query Language
00:38
Lecture 42
Data Model—Tables
00:32
Lecture 43
Data Types in Hive
00:15
Lecture 44
Serialization and De-serialization
01:18
Lecture 45
UDF/UDAF vs. MapReduce Scripts
00:47
Lecture 46
HBase—Introduction
01:14
Lecture 47
Characteristics of HBase
00:41
Lecture 48
HBase Architecture
01:04
Lecture 49
HBase vs. RDBMS
01:07
Lecture 50
Cloudera—Introduction
00:44
Lecture 51
Cloudera Distribution
01:07
Lecture 52
Cloudera Manager
00:33
Lecture 53
Hortonworks Data Platform
00:42
Lecture 54
MapR Data Platform
00:43
Lecture 55
Pivotal HD
00:52
Lecture 56
Introduction to ZooKeeper
00:23
Lecture 57
Features of ZooKeeper
01:12
Lecture 58
Goals of ZooKeeper
00:38
Lecture 59
Uses of ZooKeeper
00:49
Lecture 60
Sqoop—Reasons to Use It
01:25
Lecture 61
Sqoop—Reasons to Use It (contd.)
01:09
Lecture 62
Benefits of Sqoop
00:42
Lecture 63
Apache Hadoop Ecosystem
00:59
Lecture 64
Apache Oozie
00:43
Lecture 65
Introduction to Mahout
00:22
Lecture 66
Usage of Mahout
00:28
Lecture 67
Apache Cassandra
00:53
Lecture 68
Apache Spark
01:27
Lecture 69
Apache Ambari
00:32
Lecture 70
Key Features of Apache Ambari
00:51
Lecture 71
Hadoop Security—Kerberos
00:53
Quiz 2
Assessment Test Paper 2
19 questions
Lecture 72
Summary
00:47
Section 3: Assessment Test Papers
Quiz 3
Assessment Test paper 3
10 questions
Quiz 4
Assessment Test paper 4
40 questions
Quiz 5
Assessment Test paper 5
40 questions
Section 4: Conclusion
Lecture 73
Conclusion
00:07
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