Unlocking the Power of Analytics
In an increasingly data-driven world, organizations rely on effective data management to drive insights and make informed decisions.
For enterprises leveraging IBM Z mainframes, integrating mainframe data with advanced cloud platforms like Snowflake can be a game-changer.
VirtualZ™ has developed Mainframe Data Access for Snowflake to enable seamless connectivity between mainframe systems and Snowflake’s powerful cloud-based data warehousing platform.
Based on PropelZ™, this integration addresses the growing demand for analytics while eliminating the costly and time-consuming data replication processes often associated with traditional methods.
Key Features of the Mainframe Data Access for Snowflake
- No-Code ETL: At the heart of our integration solution is PropelZ, a no-code platform that automates the data extraction and transformation process. This allows organizations to move data from IBM Z directly to Snowflake for processing and storage without the need for complex coding or manual intervention.
- Cloud-Native Connectivity: PropelZ is optimized for Snowflake’s cloud-native architecture, ensuring that mainframe data integrates seamlessly with the data warehouse, enabling businesses to take full advantage of Snowflake’s capabilities.
- Data Security: Security is paramount in data management. VirtualZ guarantees data integrity and security through encrypted connections between the mainframe and Snowflake, maintaining a secure pipeline for sensitive information.
- In-Flight Data Transformation: PropelZ supports in-flight data transformation, preparing mainframe data for analytics pipelines with minimal manual effort. This means businesses can quickly access and analyze their data without cumbersome processes.
- zIIP Eligibility: By offloading processing tasks to IBM’s zIIP specialty engines, our solution reduces CPU overhead on the mainframe, effectively lowering operational costs and enhancing efficiency.
Benefits of Integrating Mainframe Data with Snowflake
- Real-Time Analytics: With on-demand access to mainframe data, businesses can leverage Snowflake’s powerful analytics and machine learning capabilities through PropelZ. This empowers organizations to extract valuable insights in real time.
- Cost Efficiency: By eliminating the need for traditional ETL processes and costly data replication, our solution significantly reduces data management expenses. PropelZ streamlines data movement while keeping costs in check.
- Enhanced Data Governance: Our solution maintains strict control over data access, ensuring compliance with enterprise governance policies and securing sensitive data in transit. This enhances data governance and minimizes risks.
- Scalability: By leveraging Snowflake’s elastic compute power, businesses can scale their analytics and storage needs on demand. This flexibility allows organizations to adapt to changing data requirements seamlessly.
- Simplified Integration: PropelZ is designed for rapid deployment, allowing organizations to integrate mainframe data into existing IT environments without disrupting operations. This ensures a smooth transition and immediate benefits.
Conclusion
VirtualZ’s solution for integrating mainframe data with Snowflake provides organizations with a streamlined and cost-effective way to connect their mainframe data to the cloud.
By utilizing PropelZ for no-code ETL, businesses can unlock the full potential of their mainframe data for advanced analytics, machine learning, and business intelligence. This integration not only ensures data security and compliance but also enhances operational efficiency, enabling organizations to make data-driven decisions with confidence.
Learn More
- Watch a demo of PropelZ.
- Try PropelZ.
- Review all VirtualZ Solutions.
- Explore our YouTube channel, podcasts, and blog.
- Still have questions? Contact us.