This course covers Amazon Redshift Spectrum, including what it is, what it does, how it works, and some points to take into consideration when using Redshift Spectrum.
Learning Objectives
- How to manage cold data in Redshift using Amazon S3
- What Amazon Redshift Spectrum is and does
- How Spectrum Queries work
- Supported data formats of Spectrum
- File optimization using Spectrum
- Amazon Redshift Spectrum Considerations
Intended Audience
This course is intended for people that want to learn more about Amazon Redshift Spectrum and how it can be used to perform SQL queries on data stored in Amazon S3.
Prerequisites
To get the most from this course, you should have a basic understanding of Amazon Redshift, Amazon Athena, AWS Glue, and data analytics concepts.
Summary. Amazon Redshift Spectrum is a feature of Redshift that can carry out read-only queries of data stored in Amazon S3. This keeps Redshift clusters free to work on current data while, at the same time, keeping datasets that might otherwise be wasting space available for use. To be efficiently and effectively used, data in S3 must be stored in a format that Redshift can use and it needs to be cataloged using something like AWS Glue. It's a great solution for people that are already using Redshift for data analytics because it uses the same interface and SQL commands to access data on the cluster as well as in the S3 bucket. That now brings me to the end of this course. Thanks for watching. For Cloud Academy, I'm Stephen Cole. Enjoy your cloud journey and never stop learning!
Stephen is the AWS Certification Specialist at Cloud Academy. His content focuses heavily on topics related to certification on Amazon Web Services technologies. He loves teaching and believes that there are no shortcuts to certification but it is possible to find the right path and course of study.
Stephen has worked in IT for over 25 years in roles ranging from tech support to systems engineering. At one point, he taught computer network technology at a community college in Washington state.
Before coming to Cloud Academy, Stephen worked as a trainer and curriculum developer at AWS and brings a wealth of knowledge and experience in cloud technologies.
In his spare time, Stephen enjoys reading, sudoku, gaming, and modern square dancing.