Organizations are rapidly adopting the cloud data platform, Snowflake. Snowflake helps IT deliver insights to the business more quickly and at a lower cost than traditional data warehouses. In making that move, many companies find that they are missing highly-valued data from systems that are traditionally on-premises, such as the mainframe. Learn how the Syncsort Connect product family is helping IT save time and money getting mainframe data into Snowflake. View this webinar on-demand to: • Understand common challenges with getting mainframe data into Snowflake and how to overcome them • Where mainframe data can add value as a source for Snowflake • A demo on how mainframe data can be integrated into Snowflake in 3-minutes or less using Syncsort Connect

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
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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
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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)
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6. Demo: Syncsort
Connect and
Snowflake
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