Introduction to the Hadoop Technology Stack

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Introduction to the Hadoop Technology Stack





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Introduction to the Hadoop Technology Stack
English | 2016-04-05 | mp4 | H264 1280x720 | AAC 2 ch | 1.5 hrs | 223 MB
Genre: eLearning | Language: English


A Practical Training Course That Teaches Real World Skills

In this project-based 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 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 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 tutorial, online or offline… so you'll know the exact steps for your own projects.

In this 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 course, you will have gained a solid understanding of the Hadoop Technology Stack and how it can help you meet your business goals.


PS : If You got an error while extracting while others are working try diferent directory path in your PC. Somtimes if you got a long directory path while extracting it will giv you an error. To solve this issue , as an example just paste the tgz file in C drive and extract (just inside the C drive not with in any other folder). Hope your Understand

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Introduction to the Hadoop Technology Stack


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