Introduction to Big Data

2015
3:00 hours

01. Introduction To Big Data
0101 Introduction To The Course
0102 About The Author
0103 Big Data Challenges
0104 Big Data Characteristics
0105 Problems In Capitalizing On Big Data
0106 Solving Big Data Problems
0107 The Challenges Of Relational Databases
02. MapReduce And Hadoop
0201 MapReduce And Hadoop
0202 MapReduce Algorithm
0203 Introducing Hadoop
03. Hadoop Distributed File System
0301 Hadoop Distributed File System
0302 Interacting With HDFS
04. Hadoop Infrastructure
0401 Hadoop Infrastructure
0402 YARN
05. Programming Hadoop
0501 Programming Hadoop
06. Hive
0601 Hive
0602 Hive Architecture
0603 Hive Data Model
0604 Hive Queries
0605 When To Use Hive
07. Pig
0701 Pig
0702 Pig Data Model
0703 Pig Latin
0704 Pig Example
0705 When To Use Pig
08. Scalding
0801 Scalding
0802 Programming With Scalding
0803 When To Use Scalding
09. Hadoop Ecosystem
0901 Hadoop Ecosystem
0902 HBase
0903 When To Use HBase
0904 Beyond Classic Hadoop – Spark And Flink
10. NoSQL
1001 NoSQL Stores
1002 Key-Value Stores
1003 Columnar Stores
1004 Document Stores
1005 Graph Stores
1006 Data Modeling For NoSQL Stores
11. Streaming
1101 Streaming
1102 Storm
1103 Spark And Flink Streaming
1104 Lambda Architecture
12. Big Data And NoSQL In The Enterprise
1201 Introducing Big Data And NoSQL In The Enterprise
1202 Polyglot Persistence
1203 Seven Habits Of Successful Big Data And NoSQL Projects
13. Wrap Up