Amazon Aurora: Best Practices from Pluralsight

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.

Amazon Aurora is a relational database service offered by AWS.

In this course, you will learn how Aurora works, how to connect to the different endpoints, how to use automated backups, automated and manual monitoring tools, and machine learning capabilities.

Amazon Web Services (AWS) is a cloud platform that offers over 175 services to individuals and organizations.

Amazon Aurora's serverless offering acts as an "on-demand", auto scaling configuration where the database will start up, shut down, and scale to the appropriate capacity based on your application's needs.

Some of the benefits of learning Amazon Aurora is that it is a relational database provided from AWS and that the engine is compatible with MySQL. Aurora is cost-effective, Highly scalable, and easy to use.

What's inside

Syllabus

Course Overview

Understanding Amazon Aurora's Amazing Architecture

Introducing Amazon Aurora's Resulting Feature Improvements

Building and Launching Amazon Aurora Clusters

Managing and Maintaining Amazon Aurora Clusters

Securing Amazon Aurora

Logging, Monitoring, and Auditing Amazon Aurora Clusters

Exploring Amazon Aurora's Unique Backup and Restore Strategies

Examining Amazon Aurora Data Migration Strategies

Designing Amazon Aurora Test Environments

Troubleshooting Amazon Aurora

Recognizing Amazon Aurora's Extended Capabilities

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines Amazon Aurora's architectural enhancements, making it a competitive choice in the industry

Introduces Aurora's improved features, which set it apart from other relational database management systems (RDBMS)

Provides guidance on designing, deploying, accessing, and maintaining Aurora clusters to optimize performance and minimize costs

Covers advanced functionalities like data migration and schema conversion to support smooth and efficient data management

Instructs students on utilizing machine learning capabilities within Aurora, extending its applications to AI and data science

Teaches troubleshooting techniques to identify and resolve issues, ensuring consistent database operations

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Amazon Aurora: Best Practices with these activities:

Attend an AWS Community Day

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Connect with the AWS community and learn from experts in the field.

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Find an AWS Community Day event near you.
Register for the event.
Attend the event and participate in sessions and networking opportunities.

Review for enhanced knowledge

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Review this book to understand the MySQL compatibility provided by the course.

View High Performance MySQL: Optimization, Backups,... on Amazon

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Read the 'Introduction' chapter to get an overview of the book.
Skim the table of contents to understand the book's structure.
Read the 'Best Practices for MySQL Performance Tuning' chapter to learn about MySQL optimization techniques.
Read the 'Best Practices for MySQL Backups' chapter to learn about MySQL backup strategies.

Build a data transformation pipeline

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Create a data transformation pipeline to enhance your data handling skills using Aurora.

Browse courses on Data Transformation

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Design the pipeline architecture, including data sources, transformations, and destination.
Implement the pipeline using AWS services such as AWS Glue, AWS Lambda, and Amazon S3.
Test the pipeline and ensure data integrity and performance.
Monitor the pipeline and make adjustments as needed.

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Career center

Learners who complete Amazon Aurora: Best Practices will develop knowledge and skills that may be useful to these careers:

Database Administrator

A Database Administrator is responsible for maintaining and administering databases. This course can help one in this role build a foundation in working with Amazon Aurora databases as well as planning, implementing, and maintaining efficient IT systems and practices.

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Database Architect

Database Architects provide leadership and direction during the design and development of database systems. This course can help those in this role build a foundation for planning, implementing, and maintaining database systems while leveraging Amazon Aurora's features.

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Data Engineer

A Data Engineer builds, maintains, and manages data processing systems. This course can help those in this role get up to speed on Amazon Aurora's features as well as the best practices for designing, developing, and maintaining data processing frameworks.

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Data Architect

Data Architects direct and lead database design. This course can help those in this role learn how to bring advanced technologies like Amazon Aurora together to create effective data management systems.

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Data Scientist

Data Scientists analyze data to discover insights. This course may be of use to those in this role since Amazon Aurora is used to create machine learning and artificial intelligence systems.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful to those in this role since it introduces the architecture and features of Amazon Aurora which can be used in backend systems.

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Cloud Engineer

Cloud Engineers design, build, and maintain cloud computing systems. This course may be useful to those in this role for learning how to implement and manage serverless configurations of Amazon Aurora.

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IT Manager

IT Managers direct and oversee the operations of an organization's IT systems. This course may be of use to those in this role for learning best practices for managing and maintaining Amazon Aurora clusters.

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DevOps Engineer

DevOps Engineers work to bridge the gap between software development and IT operations. This course may be useful to those in this role by teaching how to manage and maintain Amazon Aurora clusters as part of a DevOps pipeline.

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Solutions Architect

Solutions Architects design and build technology solutions for clients. This course may be useful to those in this role for building a foundation in designing, implementing, and maintaining Amazon Aurora systems.

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Systems Engineer

Systems Engineers design, implement, and maintain computer systems. This course may be useful to those in this role for learning best practices for managing and maintaining Amazon Aurora clusters.

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Technical Consultant

Technical Consultants advise clients on how to use technology to meet their business needs. This course may be useful to those in this role for gaining knowledge of Amazon Aurora's features and best practices which can be shared with clients.

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Data Analyst

Data Analysts collect, process, and analyze data to help businesses make informed decisions. This course may be useful to those in this role by providing a foundation in using Amazon Aurora to store and manage data.

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IT Specialist

IT Specialists provide technical support to users. This course may be useful to those in this role for learning how to troubleshoot issues with Amazon Aurora clusters.

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Database Developer

Database Developers design and develop database systems. This course may be useful to those in this role for learning best practices for managing and maintaining Amazon Aurora clusters, as well as optimizing database performance.

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