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Overview of Zero ETL Integrations
The Need for Data Integration
- Enterprises want to become more data-driven for a wide range of use cases.
- They need to transform data from multiple sources into a centralized location for analytics, machine learning, and business insights.
- Building custom ETL pipelines can be time-consuming and require specialized skills.
The Zero ETL Approach
- Zero ETL is a set of fully managed data pipelines by AWS that minimize the need for custom ETL pipeline development.
- Key benefits of Zero ETL:
- Increased agility: AWS handles the ETL pipeline maintenance, allowing teams to focus on business transformations.
- Efficiency: Zero ETL is cloud-based and scales automatically, with a pay-as-you-go model.
- Central governance: Data is delivered to a centralized and secure location, enabling easy access and sharing across AWS services.
DynamoDB and Amazon Redshift
- DynamoDB is a managed NoSQL service for operational databases with low-latency performance.
- Amazon Redshift is a fully managed cloud data warehouse for analytics and reporting.
- The architectural approach using these services is known as Command Query Responsibility Segregation (CQRS), where operational data is kept separate from analytical data.
Zero ETL for DynamoDB to Amazon Redshift
- The Zero ETL pipeline for DynamoDB to Amazon Redshift handles the undifferentiated heavy lifting of data replication.
- Key features:
- Fast and reliable data replication from DynamoDB to Redshift, typically completing within 15-30 minutes.
- Automatic scaling of the pipeline to handle changes in DynamoDB data velocity.
- Ability to integrate multiple DynamoDB tables into a single Redshift cluster.
New Zero ETL Capabilities
- Zero ETL now supports integrations with applications like Salesforce and SAP, in addition to AWS data sources.
- The latest launch includes Zero ETL integration with the Amazon SageMaker Lakehouse.
- Enables unifying data across data warehouses, data lakes, operational databases, and applications in a single location.
- The Lakehouse provides the benefits of managed storage and scale of S3, with centralized governance through AWS Glue Data Catalog.
- Offers new output settings to control the level of data unnesting when replicating from DynamoDB to the Lakehouse.
Demo Walkthrough
- Demonstrated the steps to set up a Zero ETL integration from DynamoDB to the Amazon SageMaker Lakehouse:
- Enable point-in-time recovery and set up the necessary IAM permissions on the DynamoDB table.
- In the AWS Glue console, create a new Zero ETL integration, selecting DynamoDB as the source and the Lakehouse as the target.
- Configure the output settings to control the level of data unnesting.
- Review the integration details and create the pipeline.
- Showed the resulting data in the Glue Data Catalog, Athena, and the S3 data lake.
- Highlighted the monitoring capabilities, including CloudWatch logs and metrics, for observability of the Zero ETL pipeline.
In summary, the key takeaways are:
- Zero ETL simplifies data integration by automating the undifferentiated heavy lifting of ETL pipelines.
- The latest enhancements expand the data sources and destinations, including the Amazon SageMaker Lakehouse.
- Zero ETL provides increased agility, efficiency, and centralized data governance for enterprises.