by | Released June 2015 | ISBN: 9781771373678

In this Introduction to Big Data training course, expert author Vladimir Bacvanski teaches you about Big Data, Hadoop, NoSQL, and related technologies. This course is designed for beginners, meaning no programming experience is required.You will start by learning what Big Data is and how to process it with MapReduce and Hadoop. From there, Vladimir will teach you several ways to program Big Data applications, as well as introduce you to the Hadoop ecosystem. This video tutorial also covers NoSQL stores and their best uses. Finally, you will learn about Big Data and NoSQL in the enterprise.Once you have completed this computer based training course, you will have developed a solid understanding of Big Data and NoSQL technologies. Show and hide more Publisher resources Download Example Code

1. Introduction To Big Data
   • Introduction To The Course 00:00:58
   • About The Author 00:01:20
   • Big Data Challenges 00:02:04
   • Big Data Characteristics 00:05:50
   • Problems In Capitalizing On Big Data 00:03:10
   • Solving Big Data Problems 00:02:10
   • The Challenges Of Relational Databases 00:03:38
2. MapReduce And Hadoop
   • MapReduce And Hadoop 00:02:27
   • MapReduce Algorithm 00:06:08
   • Introducing Hadoop 00:03:26
3. Hadoop Distributed File System
   • Hadoop Distributed File System 00:05:41
   • Interacting With HDFS 00:02:57
4. Hadoop Infrastructure
   • Hadoop Infrastructure 00:03:48
   • YARN 00:02:19
5. Programming Hadoop
   • Programming Hadoop 00:04:54
6. Hive
   • Hive 00:06:12
   • Hive Architecture 00:04:45
   • Hive Data Model 00:05:19
   • Hive Queries 00:03:09
   • When To Use Hive 00:03:06
7. Pig
   • Pig 00:03:01
   • Pig Data Model 00:03:30
   • Pig Latin 00:05:56
   • Pig Example 00:03:40
   • When To Use Pig 00:03:12
8. Scalding
   • Scalding 00:03:14
   • Programming With Scalding 00:05:43
   • When To Use Scalding 00:02:47
9. Hadoop Ecosystem
   • Hadoop Ecosystem 00:08:49
   • HBase 00:08:19
   • When To Use HBase 00:02:08
   • Beyond Classic Hadoop - Spark And Flink 00:07:15
10. NoSQL
    • NoSQL Stores 00:07:48
    • Key-Value Stores 00:02:51
    • Columnar Stores 00:03:25
    • Document Stores 00:02:36
    • Graph Stores 00:02:28
    • Data Modeling For NoSQL Stores 00:03:34
11. Streaming
    • Streaming 00:01:58
    • Storm 00:03:45
    • Spark And Flink Streaming 00:02:09
    • Lambda Architecture 00:02:50
12. Big Data And NoSQL In The Enterprise
    • Introducing Big Data And NoSQL In The Enterprise 00:06:34
    • Polyglot Persistence 00:05:27
    • Seven Habits Of Successful Big Data And NoSQL Projects 00:02:41
13. Wrap Up
    • Wrap-Up 00:00:17
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