Precisely, a global leader in data integrity, has collaborated with Amazon Web Services (AWS) to offer enterprises a robust solution for streaming mainframe data to the cloud in near real time. This partnership leverages Amazon Managed Streaming for Apache Kafka (Amazon MSK) to facilitate seamless data integration, enabling organizations to modernize their mainframe systems without compromising performance or data quality.
Mainframe systems continue to play a critical role in managing mission-critical applications and storing essential data for enterprises worldwide. However, integrating this legacy data with modern cloud platforms presents unique technical challenges. Precisely addresses these challenges by providing a solution that captures and streams mainframe data changes to the cloud, ensuring real-time synchronization and enabling advanced analytics capabilities.
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The integration utilizes the AWS Mainframe Modernization – Data Replication for IBM z/OS Amazon Machine Image (AMI), available in the AWS Marketplace, to simplify deployment and reduce implementation time. This solution captures changes from DB2 for z/OS using Change Data Capture (CDC) and streams them to Amazon MSK, where they can be processed and applied to cloud-based databases such as Amazon RDS for PostgreSQL.
By adopting this event-driven architecture, enterprises can achieve:
- Incremental Data Movement: Eliminates disruptive bulk extracts by streaming only changed data to cloud targets, minimizing system impact and ensuring data currency.
- Real-Time Synchronization: Keeps cloud applications in sync with mainframe systems, enabling immediate insights and responsive operations.
- Simplified Deployment: Accelerates implementation using the preconfigured AWS Marketplace AMI.
- Decoupled Architecture: Enhances scalability and flexibility by decoupling data capture, streaming, and consumption processes.
This collaboration underscores Precisely‘s commitment to empowering organizations with the tools and technologies needed to modernize their mainframe systems and unlock the full potential of their data in the cloud.