Introduction to Big Data Training Video

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Descripción

A Practical Training Course That Teaches Real World Skills In this project-based Introduction to Big Data video tutorial series, you'll quickly have relevant skills for real-world applications. Follow along with our expert instructor in this training course to get: Concise, informative and broadcast-quality Introduction to Big Data training videos delivered to your desktop The ability to learn at your own pace with our intuitive, easy-to-use interface A quick grasp of even the most complex Introduction to Big Data subjects because they're broken into simple, easy to follow tutorial videos Practical working files further enhance the learning process and provide a degree of retention that is unmatched by any other form of Introduction to Big Data tutorial, online or offline...so you'll know the exact steps for your own projects. Course Fast Facts: Only 3 hours to complete this course  46 tutorial videos Expert instructors lead each course Download to any Windows PC or Mac and save for viewing off line Course is accessible 24/7 from any computer once downloaded You can study from home or at work at your own pace in your own time Course Description 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.

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Temario

  • 01. Introduction To Big Data
    • Introduction To The Course
    • About The Author
    • Big Data Challenges
    • Big Data Characteristics
    • Problems In Capitalizing On Big Data
    • Solving Big Data Problems
    • 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
    • 1301 Wrap-Up

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