Introduction to the Hadoop Technology Stack Training Video

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A Practical Training Course That Teaches Real World Skills In this project-based Introduction to the Hadoop Technology Stack 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 the Hadoop Technology Stack 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 the Hadoop Technology Stack 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 the Hadoop Technology Stack tutorial, online or you'll know the exact steps for your own projects. Course Fast Facts: Only 1.5 hours to complete this course 34 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 In this Introduction to the Hadoop Technology Stack training course, expert author Justin Watkins will teach you about the concepts and benefits of Apache Hadoop, and how it can help you meet your business goals. This course is designed for the absolute beginner, meaning no previous experience with the Hadoop Technology Stack is required.

You will start by learning about Hadoop, including HDFS architecture, parallel performance, and YARN. From there, Justin will teach you about options for data input, including Sqoop, Flume, and other important tools. Finally, this video tutorial also covers Hadoop tools, such as Pig, Hive, HCatalog, and Apache Storm.

Once you have completed this computer based training...

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  • 01. Introduction
    • Introduction And Course Overview
    • About The Author
    • Getting Started With A Hadoop Installation
  • 02. What Is Hadoop?
    • 0201 What Is Hadoop?
    • 0202 What Is HDFS? - Scalable Storage
    • 0203 Understanding Block Storage
    • 0204 Block Replication And Resilience
    • 0205 HDFS Architecture - The Name Node And The Data Nodes
    • 0206 Parallel Performance
    • 0207 What Is Yarn? - Scalable Compute
    • 0208 Yarn: Plug-In Processing Engines
    • 0209 Overview Of MapReduce
    • 0210 Using Different Languages
  • 03. Options For Data Input
    • 0301 Importing Data
    • 0302 The Hadoop Client
    • 0303 Overview Of Sqoop
    • 0304 Overview Of Flume
    • 0305 Other Import Tools
  • 04. Hadoop Tools
    • 0401 What Is Pig?
    • 0402 What Is Hive?
    • 0403 Comparing Hive To SQL
    • 0404 Hive Architecture
    • 0405 What Is HCatalog?
    • 0406 Hive Interfaces
    • 0407 Apache Storm
    • 0408 Apache Spark
    • 0409 Hadoop Security
    • 0410 Overview Of Oozie
    • 0411 Mahout
    • 0412 HBase And Other Data Stores: Hbase, Accumulo, Etc.
    • 0413 Apache Kafka
    • 0414 Cluster Management
  • 05. Conclusion
    • 0501 Distributions And Where To Go From Here
    • 0502 Conclusion

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