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Amazon Aurora: Best Practices

Amazon Aurora has revolutionized relational databases. This course will teach you everything you need to know about Amazon Aurora’s amazing superiority over other RDBMS and how to work with it using best practices.

Kim Schmidt - Pluralsight course - Amazon Aurora: Best Practices
by Kim Schmidt
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What you'll learn

Amazon Aurora is a relational database built for the cloud. In this course, Amazon Aurora: Best Practices, you’ll learn to leverage Aurora’s scalability, high performance, high availability, durability, and security while taking advantage of the management tasks that are managed for you. First, you’ll explore the architectural improvements that make Aurora a cut above the competition. Next, you’ll discover the feature improvements that this architecture enables, as well as how to efficiently and effectively design, deploy, access, monitor, use, and maintain Amazon Aurora clusters to improve performance, reduce costs, and jumpstart data transformation and innovation. Finally, you’ll learn how to utilize advanced functionalities like data migration, schema conversion, and troubleshooting techniques. When you’re finished with this course, you’ll have the skills and knowledge of Amazon Aurora needed to utilize AWS’s relational database for traditional relational database functionalities, and also know what it can for machine learning and artificial intelligence.

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About the author

Kim Schmidt - Pluralsight course - Amazon Aurora: Best Practices
Kim Schmidt

Kim Schmidt is an AWS Partner & Vendor. She's worked for or with Dun & Bradstreet, Google, Microsoft, & AWS. Kim is currently writing a book "Artificial Intelligence & Analytics on AWS."

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