Get Mainframe Data to Snowflake’s Cloud Data Warehouse
0 likes521 views
The document outlines a partnership between Syncsort and Snowflake for integrating mainframe data into Snowflake’s cloud data warehouse, emphasizing benefits such as quicker scalability and lower costs. It also addresses challenges related to legacy data formats that complicate the integration with cloud environments. The collaboration aims to facilitate efficient data movement and enhance analytics capabilities across various platforms.
1 of 7
Downloaded 10 times
More Related Content
What's hot (20)
Ad
Similar to Get Mainframe Data to Snowflake’s Cloud Data Warehouse (20)
Ad
More from Precisely (20)
Recently uploaded (20)
Get Mainframe Data to Snowflake’s Cloud Data Warehouse
- 1. Get Mainframe Data to Snowflake’s Cloud Data Warehouse A Syncsort and Snowflake Partnership Overview Ashwin Ramachandran
- 2. Why choose a cloud data warehouse approach? 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 2
- 3. Challenges of integrating legacy data with cloud data warehouses • Legacy data formats such as 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 speedy, secure and cost effective • Plans may require complex integration architectures, making it harder to connect to the cloud data warehouse 3
- 4. 4
- 5. Snowflake & Syncsort IBM i Traditional ETL sources, files, RDBMS, etc. Convert mainframe, IBM i and data from other sources to be shared anywhere on Snowflake BI and Analytics Tools Deploy Syncsort on-prem, in cloud or hybrid environments Mainframe (DB2, VSAM) 5