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January 28, 2025
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Recommended experience
Beginner level
Prior working experience with DBMS, SQL, Amazon EC2, Amazon S3, and Amazon RDS services is recommended but not mandatory
Recommended experience
Beginner level
Prior working experience with DBMS, SQL, Amazon EC2, Amazon S3, and Amazon RDS services is recommended but not mandatory
Working with Amazon Aurora service, storage and volume, MySQL management, and global databases for developing robust cloud-based solutions.
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Welcome to the Amazon Aurora Service Introduction course, where you'll embark on a journey to acquire practical expertise in Aurora databases and harness the power of Amazon Web Services (AWS) for efficient data management.
Throughout this short course, you'll explore the industry-specific applications of Aurora and delve into database fundamentals. By the end of this course, you will be able to: - Perform the setup of an AWS account, navigate the console, and work with Aurora databases. - Explore Aurora‘s architecture and its working with Amazon RDS compared to other database engines. - Develop a comprehensive understanding of aurora DB clusters, encompassing versions, regional features, connections, instances, storage, reliability, security, availability, and replication. - Analyze Aurora’s database configurations, such as versions, instance classes, storage, and replication, to optimize performance and cost efficiency. This short course is designed for freshers, database administrators, software engineers, AWS solution architects, and IT professionals seeking to enhance their AWS database skills. Prior experience with DBMS, SQL, and AWS is beneficial but not required for this course. Embark on an educational voyage to master Amazon Aurora and elevate your AWS database expertise.
Welcome to this module, which has been curated for you to effectively design, implement, and manage high-performance databases using Amazon Aurora. This course is tailored for learners seeking to harness the power of Aurora's cutting-edge technology for their applications.
25 videos10 readings6 assignments4 discussion prompts
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The Amazon Aurora Service Introduction course is designed to provide learners with a comprehensive understanding of Aurora’s database clusters. Throughout the course, learners will gain valuable insights into the inner workings of clusters, learning to leverage their advanced database storage capabilities to optimize performance and reliability. Additionally, the course covers the practical aspects of creating an Aurora MySQL database cluster. Moreover, learners will acquire the knowledge and skills necessary to successfully implement global databases, enabling them to extend the reach and availability of their data across geographical regions.
This course caters to a diverse audience, embracing those new to the field as Freshers providing them with foundational knowledge. Database Administrators will sharpen their skills in database management, while Software Engineers will gain insights into seamless database integration. AWS Solution Architects will benefit from specialized content on AWS and databases, enhancing their cloud architecture expertise. For IT Professionals, this course offers essential insights into managing IT infrastructures effectively.
While prior experience with Database Management Systems (DBMS) and SQL can be advantageous, it's not obligatory to embark on this course. Additionally, familiarity with AWS services like Amazon EC2, Amazon S3, and Amazon RDS can offer a smoother learning experience, but it's not a strict requirement.
This course offers a deep-dive understanding of database clusters, equipping you with a comprehensive understanding of cluster concepts and functionalities. You will become proficient in leveraging advanced database storage capabilities to optimize performance and scalability. Hands-on experience will teach you to create and effectively manage Aurora MySQL database clusters, ensure data reliability and efficiency, and implement global databases for distributed data replication and availability.
This course is designed to span approximately five hours, encompassing a diverse range of learning materials and activities. Throughout this course, learners will engage with various educational resources, including video content on the Aurora database, reading materials to deepen understanding, graded quizzes to assess comprehension, hands-on projects to apply knowledge in practical scenarios, and thought-provoking discussion prompts to encourage collaborative learning and critical thinking.
Yes, Amazon Aurora supports both MySQL and PostgreSQL database engines, offering customers the flexibility to choose the one that best suits their needs. It provides a managed, highly available, scalable database service compatible with MySQL and PostgreSQL, ensuring seamless migration and operation. This allows users to leverage the performance and reliability benefits of Aurora while maintaining compatibility with their preferred database technology.
Aurora differs from traditional Amazon RDS in several key ways. It is designed for high performance and scalability. It uses a distributed architecture replicating data across multiple availability zones, ensuring high availability and fault tolerance without complex configurations or failover procedures. Traditional RDS databases typically require manual setup for replication and failover.
Aurora offers a serverless option called "Amazon Aurora Serverless." It is a database deployment option designed to adjust database capacity based on usage and workload requirements automatically. It eliminates manual scaling, making it a flexible and cost-effective choice for applications with variable or unpredictable workloads.
The replication process is a crucial mechanism that ensures data consistency and availability in the Aurora database service. It uses a distributed, high-availability architecture to provide replication at the storage level, which is different from traditional replication methods used in other database systems.
Amazon Aurora ensures high availability through advanced architectural features and redundancy mechanisms. It employs a distributed, fault-tolerant storage system replicating data across multiple availability zones (AZs) in a given AWS region. This multi-AZ deployment ensures that even if an entire AZ becomes unavailable due to hardware failure or other issues, it can continue to operate seamlessly from the surviving AZs.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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