Scaling MySQL for Analytical Workloads
Using cloud databases makes it easy for developers to build applications quickly and simply. In this talk, we explore how developers will benefit from building data apps on the combination of Amazon RDS for MySQL and Rockset.
Run MySQL using Amazon RDS to get the benefits of the most popular open-source relational database in the cloud.
- Deploy MySQL in minutes.
- Automate MySQL database operations, such as backups and patching.
- Use cost-efficient cloud infrastructure sized to meet your specific.
To scale analytical workloads on MySQL, we can use Rockset as an external index on MySQL data.
- Benefits of using Rockset to accelerate analytics - The combination of MySQL and Rockset allows for performance isolation between transactional and analytical workloads. Using a dedicated database optimized for analytical queries enables better performance, with less performance engineering, and seamless scaling.
- How MySQL and Rockset connect and work together - Use MySQL as your primary transactional database while creating an external index of the data to be analyzed in Rockset. Connect MySQL to Rockset using AWS Database Migration Service, which performs an initial migration of the MySQL data and then replicates changes on a continuous basis so MySQL and Rockset are kept in sync.
Join us for an in-depth discussion and demo.
Shashi Raina is a Partner Solution Architect at AWS. Shashi has more than 15 years of experience in the technology and cloud space, including at Amazon Web Services, Toys “R” US, Knowledgent, and Equinix among others. He works with startups that are building products in DevOps and Big Data space. He lives in New Jersey with his wife and 12-year-old twin boys.
Justin Liu is a Product Manager at Rockset, where he works closely with SaaS customers to create a seamless developer experience for building applications on Rockset. Prior to Rockset, he worked in engineering at Google on various teams including Google Cloud IAM and Data Protection.
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