Get Mainframe and IBM i Data to Snowflake
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The document outlines a webinar focused on integrating mainframe and IBM i data with Snowflake to create scalable cloud data warehouses. It discusses the challenges of legacy data formats, the benefits of cloud migration, and showcases customer success stories in real-time data tracking and reporting. The presentation highlights features such as automatic transformation of data and the ability to connect on-premises and cloud environments.
Get Mainframe and IBM i Data to Snowflake
- 1. Get Mainframe and IBM i Data to Snowflake Precisely Connect and Snowflake Partnership Overview Ashwin Ramachandran | Senior Product Manager
- 2. Housekeeping Webinar Audio • Today’s webcast audio is streamed through your computer speakers • If you need technical assistance with the web interface or audio, please reach out to us using the Q&A box Questions Welcome • Submit your questions at any time during the presentation using the Q&A box Recording and slides • This webinar is being recorded. You will receive an email following the webinar with a link to the recording and slides 2
- 3. Why choose a cloud data platform approach? 3 Build scalable data warehouses very quickly Support migrations from on-prem data warehouses to the cloud Enable analytics and insights at a faster rate Lower hardware and software costs
- 4. Customer story: Tracking shipments in real-time
- 5. Business Mandate 1. Connect customer and shipment information that resides on multiple systems of record 2. Improve integration and replication of changes to meet real-time demand 5
- 6. Challenges • Legacy data formats (e.g., mainframe and IBM i) are not readily readable and consumable within cloud data warehouses • Binary data formats • REDEFINEs in data fields • Complex record structures • Making data movement between on- premises and the cloud data warehouse was slow and delayed • Complex integration architectures, made it harder to connect to the cloud data warehouse 6
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- 8. Results 1 Integrate and replicate hundreds of z/OS tables to Snowflake 2 Power customer dashboards for “near real-time” reporting 3 Improve productivity with hourly dashboard updates for employees 4 Provide shipment information in a way that no other competitor can 8
- 9. Mainframe (Db2, VSAM) IBM i Traditional ETL sources, files, RDMBS, etc. Convert mainframe, IBM i and data from other sources to be shared anywhere on Snowflake BI and Analytics Tools Deploy Connect on-prem, in cloud or hybrid environments 9
- 10. 10 Demo highlights: • Break down legacy silos to leverage the scalability, cost effectiveness, and flexibility of Snowflake • Automatic transform of EBCDIC encoded records for use in Snowflake • How you can include high- value data assets in your cloud data warehouse
Editor's Notes
- #11: Connect’s connectivity to Snowflake ensures that all enterprise data is made available in cloud data warehouses for faster, richer analytics