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Building Data Analytics Solutions Using Amazon Redshift

Learn to build data analytics solutions with Amazon Redshift

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Train your team

Building Data Analytics Solutions Using Amazon Redshift

The course dives deep into the Amazon Redshift service and the current thinking in building and operating data analytics pipelines to turn data into insights. You can ask questions and get real-time feedback from expert AWS instructors to immediately apply to your data analytics solutions. You’ll build a data warehouse analytics workflow based on a real-world scenario with the content learned through tutorials, hands-on labs, discussion, demonstration, presentations, and group exercises.

This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses. Learn more »

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Course overview

  • Level: Intermediate
  • Type: Classroom (virtual and in person)
  • Length: 1 day
  • Compare the features and benefits of data warehouse, data lakes, and modern data architectures
  • Design and implement a data warehouse analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store dataChoose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
  • And much more

  • Data warehouse engineers
  • Data platform engineers
  • Architects and operators who build and manage data analytics pipelines

 

This course is offered in the following languages: Bahasa Indonesia, English, French (France), German, Japanese, Korean, Portuguese (Brazil), Simplified Chinese, Spanish (Latin America), and Traditional Chinese.
 
We regularly update our courses based on customer feedback and AWS service updates. As a result, course content may vary between languages while we localize these updates.