Intermediate
Classroom
Virtual
1 Day

Building Data Analytics Solutions Using Amazon Redshift

Learn to build data analytics solutions with Amazon Redshift

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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.

What you'll learn

  • 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 compresssion, to optimize data storage
  • Select and deploy approporate options to ingest, transform, and store data
  • Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
  • And much more

Who should take this course

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

What experience you'll need

Course overview

Level: Intermediate
Type: Classroom (virtual and in person)
Length: 1 day

Languages offered

This course is offered in the following language: English.
 
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.

Need more information?

Download the course outline for more information about what this course covers.

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