Data is a Differentiator: More than 90% of the data has been created in the last 2 years, and companies that can leverage this data are 8.5 times more likely to increase their revenue by 20%.
Managed Databases: Amazon RDS offers fully managed open-source database engines like MySQL, PostgreSQL, and MariaDB. Amazon Aurora is a purpose-built relational database with high performance and availability.
Powerful Analytics with Amazon Redshift: Amazon Redshift is a fully managed, cloud-based data warehousing solution that offers industry-leading price-performance.
Challenges of Building ETL Pipelines: Connecting operational databases (RDS/Aurora) to the analytics solution (Redshift) requires building complex ETL pipelines, which can be time-consuming and challenging to maintain.
Zero ETL Solution: AWS introduces Zero ETL, a simple and easy-to-use solution that enables near real-time data replication from RDS/Aurora to Redshift with minimal impact on the operational databases.
Easy Setup and Management: Zero ETL can be set up in minutes compared to weeks or months for traditional ETL pipelines. The "Fix It For Me" feature automatically configures the required parameters on both the source and target databases.
Near Real-Time Data Replication: Data is replicated from the operational databases to Redshift in a matter of seconds, providing near real-time access to data for analytics.
Secure Data Transfer: Data is securely transferred between the systems using state-of-the-art encryption techniques.
Consolidating Data from Multiple Sources: Zero ETL allows you to consolidate data from various operational sources (RDS, Aurora, DynamoDB, etc.) into a single Redshift data warehouse for global insights.
Seeding the Initial Data: Zero ETL leverages fast clones and the decoupled storage architecture of Aurora to seed the initial data into Redshift with minimal impact on the operational database.
Capturing Change Data Capture (CDC): Zero ETL uses the decoupled storage layer of Aurora to capture the CDC stream in parallel, without impacting the transactional workload on the writer instance.
Efficient Data Replication to Redshift: Zero ETL pre-partitions the data and uses Redshift's parallel processing capabilities to efficiently ingest the CDC stream and apply the changes.
Lightweight Concurrency Control and Recovery: Zero ETL leverages Redshift's multi-version concurrency control and recovery mechanisms to provide transactionally consistent data for analytics while minimizing the impact of updates and deletes.
By addressing the key challenges of building complex ETL pipelines, Zero ETL empowers customers to focus on their business logic and derive near real-time insights from their operational data, without the undifferentiated heavy lifting.