Hands-on with Amazon Redshift Training Video

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AU$ 189 - ($ 422.264)

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A Practical Training Course That Teaches Real World Skills In this project-based Hands-on with Amazon Redshift 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 Hands-on with Amazon Redshift 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 Hands-on with Amazon Redshift 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 Hands-on with Amazon Redshift tutorial, online or offline... so you'll know the exact steps for your own projects. Course Fast Facts: Only 4,5 hours to complete this course 37 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 Hands-on with Amazon Redshift training course, expert author Rich Morrow will teach you everything you need to know to be able to work with Redshift. This course is designed for the absolute beginner, meaning no previous knowledge of Amazon Redshift is required.

You will start with an introduction to the course, learning what a data warehouse is, the benefits of Redshift, and how Redshift compares to other analytics tools. From there, Rich will teach you the basics of Redshift, including data loading, data distribution concepts, and basic Redshift usage. Finally, this video tutorial will cover advanced topics, such as data loading best practices and tuning query performance.

Once you have completed this computer based training...

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Requisitos: System Requirements - Digital Download Digital Download: Microsoft Windows XP or higher, Mac OS X 10.4 or higher. Minimum screen resolution of 1024x768 Digital Download specific requirements: Between 1GB and 6GB of available hard drive space (depending on the training course) An Internet connection with sufficient bandwidth. You must have at least a 56K modem connection (Broadband recommended). Most modern ADSL and Cable internet solutions will be sufficient. Do I need...


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Basic IT training
Basic IT
Skills and Training

Programa académico

  • 01. Introduction
    • Introduction
    • About The Author
    • What Is A Data Warehouse? - Part 1
    • What Is A Data Warehouse? - Part 2
    • What Is A Data Warehouse? - Part 3
    • Shortcomings Of Self-Owned Data Warehouses
    • Benefits Of A Public Cloud Data Warehouse
    • 0108 Benefits Of Redshift - Part 1
    • 0109 Benefits Of Redshift - Part 2
    • 0110 Benefits Of Redshift - Part 3
    • 0111 How Companies Use Redshift - Part 1
    • 0112 How Companies Use Redshift - Part 2
    • 0113 Third Party Visualization Tools Overview
    • 0114 How Redshift Compares To Other Analytics Tools - Part 1
    • 0115 How Redshift Compares To Other Analytics Tools - Part 2
    • 0116 How To Use The Working Files
  • 02. Redshift Basics
    • 0201 Architecture
    • 0202 Data Loading
    • 0203 Data Distribution Concepts
    • 0204 Basic Redshift Usage - Part 1
    • 0205 Basic Redshift Usage - Part 2
    • 0206 Lab: Creating An AWS Account
    • 0207 Lab: Creating A Redshift Cluster
    • 0208 Lab: Configuring SQL Workbench
    • 0209 Lab: Loading Data Into S3
    • 0210 Lab: Loading Data Into A Redshift Cluster - Part 1
    • 0211 Lab: Loading Data Into A Redshift Cluster - Part 2
    • 0212 Lab: Loading Data Into A Redshift Cluster - Part 3
    • 0213 Lab: Querying A Redshift Cluster - Part 1
    • 0214 Lab: Querying A Redshift Cluster - Part 2
  • 03. Advanced Topics
    • 0301 Data Loading Best Practices - Part 1
    • 0302 Data Loading Best Practices - Part 2
    • 0303 Tuning Query Performance - Part 1
    • 0304 Tuning Query Performance - Part 2
    • 0305 Lab: Connecting Tableau
    • 0306 Lab: Tableau Usage
  • 04. Conclusion
    • 0401 Wrap Up

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