Amazon Aurora: Best Practices
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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.
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.
Author Name: Kim Schmidt
Author Description:
Kim Schmidt has been working in the technology industry for more than 12 years with an extremely broad array of titles and using very diverse technologies. She holds many industry certifications and awards. Companies Kim has worked for or with include Microsoft, Dun & Bradstreet, Google, Amazon Web Services, and a couple of Augmented Reality companies. Kim is the Founder and CEO of DataLeader, an AWS Partner and Vendor company. DataLeader focuses on AWS Big Data Architecture, Data Solutions,… more
Table of Contents
- Course Overview
2mins - Understanding Amazon Aurora’s Amazing Architecture
30mins - Introducing Amazon Aurora’s Resulting Feature Improvements
28mins - Building and Launching Amazon Aurora Clusters
21mins - Managing and Maintaining Amazon Aurora Clusters
28mins - Securing Amazon Aurora
22mins - Logging, Monitoring, and Auditing Amazon Aurora Clusters
25mins - Exploring Amazon Aurora’s Unique Backup and Restore Strategies
20mins - Examining Amazon Aurora Data Migration Strategies
17mins - Designing Amazon Aurora Test Environments
9mins - Troubleshooting Amazon Aurora
18mins - Recognizing Amazon Aurora’s Extended Capabilities
14mins
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