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New! Real-Time
Data Replication
to Snowflake
Ashwin Ramachandran | Senior Product Manager
Agenda
• Market drivers
• New Feature: Precisely Connect
and Snowflake
• Customer Story
• Q&A
Precisely 2020: New! Real-Time Data Replication to Snowflake
Precisely 2020: New! Real-Time Data Replication to Snowflake
Why choose a cloud data platform approach?
Build scalable data
warehouses very quickly
Handle proliferating data
variety
Enable analytics and
insights at a faster rate
Lower hardware and
software costs
Cloud data platform nirvana:
All enterprise data accessible
Data from legacy systems in cloud
data platforms
Building data pipelines to cloud data
platforms in seamless, no rework
Changes to data reflected in real-time,
without the need for batch window
refreshes
Precisely 2020: New! Real-Time Data Replication to Snowflake
The reality
• Legacy data formats not readily
compatible with cloud data platforms
• Communicating changes is delayed
and business works off old data
• Reliably delivering data at scale is
easier said than done
Precisely 2020: New! Real-Time Data Replication to Snowflake
Great news!
Precisely 2020: New! Real-Time Data Replication to Snowflake
Highlights
• Capture changes from legacy data
sources in real-time to Snowflake
• Convert mainframe, IBM i and data
from other sources to be shared
anywhere on Snowflake
• Deploy Precisely Connect on-prem, in
cloud or hybrid environments
Precisely 2020: New! Real-Time Data Replication to Snowflake
Mainframe
(Db2, VSAM)
IBM i RDBMS (Oracle, Db2
LUW, SQL Server)
BI and Analytics ToolsPrecisely 2020: New! Real-Time Data Replication to Snowflake
Customer story
Tracking shipments in real-time
Business goals and challenges
Precisely 2020: New! Real-Time Data Replication to Snowflake
Goals
1. Connect customer and
shipment information that
resides on multiple systems of
record
2. Improve data delivery
architecture to meet real-time
demand from customers and
LOB stakeholders
Challenges
• Legacy data formats (e.g.,
mainframe and IBM i) are not
readily readable and
consumable within cloud data
warehouses
• 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: New! Real-Time Data Replication to Snowflake
+
Precisely 2020: New! Real-Time Data Replication 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
Precisely 2020: New! Real-Time Data Replication to Snowflake
Deliver changes
data changes to
the business in
real-time
Build analytics
and business
applications in
Snowflake,
include all
enterprise sources
Ensure your
mainframe and IBM
i data is compatible
with Snowflake
What does it mean for you?
Questions
New! Real-Time Data Replication to Snowflake

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New! Real-Time Data Replication to Snowflake

  • 1. New! Real-Time Data Replication to Snowflake Ashwin Ramachandran | Senior Product Manager
  • 2. Agenda • Market drivers • New Feature: Precisely Connect and Snowflake • Customer Story • Q&A Precisely 2020: New! Real-Time Data Replication to Snowflake
  • 3. Precisely 2020: New! Real-Time Data Replication to Snowflake Why choose a cloud data platform approach? Build scalable data warehouses very quickly Handle proliferating data variety Enable analytics and insights at a faster rate Lower hardware and software costs
  • 4. Cloud data platform nirvana: All enterprise data accessible Data from legacy systems in cloud data platforms Building data pipelines to cloud data platforms in seamless, no rework Changes to data reflected in real-time, without the need for batch window refreshes Precisely 2020: New! Real-Time Data Replication to Snowflake
  • 5. The reality • Legacy data formats not readily compatible with cloud data platforms • Communicating changes is delayed and business works off old data • Reliably delivering data at scale is easier said than done Precisely 2020: New! Real-Time Data Replication to Snowflake
  • 7. Precisely 2020: New! Real-Time Data Replication to Snowflake
  • 8. Highlights • Capture changes from legacy data sources in real-time to Snowflake • Convert mainframe, IBM i and data from other sources to be shared anywhere on Snowflake • Deploy Precisely Connect on-prem, in cloud or hybrid environments Precisely 2020: New! Real-Time Data Replication to Snowflake
  • 9. Mainframe (Db2, VSAM) IBM i RDBMS (Oracle, Db2 LUW, SQL Server) BI and Analytics ToolsPrecisely 2020: New! Real-Time Data Replication to Snowflake
  • 11. Business goals and challenges Precisely 2020: New! Real-Time Data Replication to Snowflake Goals 1. Connect customer and shipment information that resides on multiple systems of record 2. Improve data delivery architecture to meet real-time demand from customers and LOB stakeholders Challenges • Legacy data formats (e.g., mainframe and IBM i) are not readily readable and consumable within cloud data warehouses • 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
  • 12. Precisely 2020: New! Real-Time Data Replication to Snowflake +
  • 13. Precisely 2020: New! Real-Time Data Replication 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
  • 14. Precisely 2020: New! Real-Time Data Replication to Snowflake Deliver changes data changes to the business in real-time Build analytics and business applications in Snowflake, include all enterprise sources Ensure your mainframe and IBM i data is compatible with Snowflake What does it mean for you?

Editor's Notes

  1. Data formats