The document outlines a webinar discussing the integration of mainframe and IBM i data into the Snowflake cloud data platform, highlighting the advantages of cloud migration such as improved analytics, reduced costs, and real-time insights. It details challenges related to legacy data formats, slow data movement, and complex integration architectures. The session aims to demonstrate how to effectively leverage Snowflake for better data accessibility and operational efficiency.

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

3. Precisely 2020: Get Mainframe and IBM i Data to Snowflake
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
Precisely 2020: Get Mainframe and IBM i Data to Snowflake5

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
Precisely 2020: Get Mainframe and IBM i Data to Snowflake6

7. Precisely 2020: Get Mainframe and IBM i Data to Snowflake7
+

8. Precisely 2020: Get Mainframe and IBM i Data to Snowflake
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
Precisely 2020: Get Mainframe and IBM i Data to Snowflake9

10. Precisely 2020: Get Mainframe and IBM i Data to Snowflake10
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