Title
AWS re:Invent 2023 - Unified and integrated near real-time analytics with zero-ETL (ANT218)
Summary
- AWS announced several zero ETL integrations at re:Invent, focusing on RDS MySQL, Aurora MySQL, and Aurora Postgres.
- Aurora MySQL zero ETL integration with Amazon Redshift has reached general availability (GA).
- Zero ETL integration simplifies the process of replicating data from Aurora to Redshift in near real-time, enabling operational analytics.
- Recent developments include additional regions, API and CLI support, improved getting started experience, events and notifications, automatic reseeding of tables, and support for additional data types like JSON.
- Aurora Postgres zero ETL integration with Amazon Redshift is now in preview.
- The session included a demo of setting up a zero ETL integration from the AWS console, highlighting ease of use and the ability to handle cross-account integrations.
- Jyothi Agarwal from the Redshift team demonstrated how data from Aurora is replicated to Redshift in seconds, and showcased the use of Redshift ML to build a machine learning model on operational data.
- Customers have reported significant time savings and benefits from using zero ETL for their near real-time applications and dashboards.
- Zero ETL is part of a broader data strategy with Redshift, allowing data integration from multiple sources and enabling data-driven decisions.
Insights
- The zero ETL approach is a significant advancement in data integration, reducing the complexity and time required to replicate data for analytics.
- The separation of compute and storage in Aurora is a key innovation that facilitates high availability and performance, which is crucial for real-time analytics.
- The GA of Aurora MySQL zero ETL integration and the preview of Aurora Postgres zero ETL integration indicate AWS's commitment to expanding zero ETL capabilities across different database engines.
- The ability to programmatically set up and manage zero ETL integrations via API and CLI is a valuable feature for developers and DevOps teams, allowing for automation and integration into CI/CD pipelines.
- The support for cross-account integrations reflects the growing need for flexible data sharing and collaboration across different AWS accounts within an organization.
- The demonstration of Redshift ML to forecast sales based on operational data illustrates the potential of combining zero ETL with machine learning to derive actionable insights.
- Customer testimonials underscore the real-world impact of zero ETL, with users experiencing significant improvements in analytics workflows and decision-making processes.
- The session's emphasis on zero ETL integrations suggests a trend towards more seamless and real-time data processing capabilities in cloud data warehousing solutions.