- Course
Amazon Redshift: Best Practices
Organizations want to develop a data warehouse solution that can meet the needs of the massive amount of data. This course will teach you how to make the most of AWS Redshift for the storage and retrieval of vast amounts of data.
Advanced
- Course
Amazon Redshift: Best Practices
Organizations want to develop a data warehouse solution that can meet the needs of the massive amount of data. This course will teach you how to make the most of AWS Redshift for the storage and retrieval of vast amounts of data.
Advanced
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This course is included in the libraries shown below:
- Cloud
- Data
What you'll learn
While many AWS Solutions Architects and SysOps administrators understand the RDBMS systems, they have little experience with data warehouse solutions. In this, course, AWS Redshift: Best Practices, you’ll learn to design, deploy, and maintain AWS Redshift solutions. First, you’ll explore the basic components and architectures of Redshift. Next, you’ll discover the many best practices associated with querying and operating Redshift. Finally, you’ll learn how to secure and monitor AWS Redshift. When you’re finished with this course, you’ll have the skills and knowledge of the best practices of AWS Redshift. These skills are needed to ensure your Redshift solution is performance, operationally sound, highly available, secure, and cost effective.
Amazon Redshift: Best Practices
Advanced
Table of contents
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Introduction | 2m 51s
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The Redshift Architecture | 7m 34s
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Deploying AWS Redshift | 7m 2s
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Generating Test Data | 10m 46s
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Copying the Data | 4m 41s
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Creating the Cluster | 7m 11s
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Pausing the Cluster | 2m 52s
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Accessing Redshift | 8m 43s
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Basic Data Import | 9m 31s
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Cluster Management Best Practices | 7m 35s
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Designing Test Environments | 2m 28s
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Automating Redshift | 2m 56s
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Summary | 1m 45s
Anthony Sequeira is a ten+ year CCIE and enjoys writing and training about any topic within the vast scope of Information Technology. He is thrilled to be a content author for Pluralsight.