1.
Transform Legacy Data Stores:
Microsoft and Precisely
Precisely Connect and Microsoft Azure
Partnership Overview
Ashwin Ramachandran | Senior Product Manager

2.
Housekeeping
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Questions Welcome
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Recording and slides
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3.
Challenges
of legacy
data in cloud
ecosystems
Complexity Governance
Bottlenecks Scaling
Precisely: Transform Legacy Data Stores: Microsoft and Precisely

4.
Data complexity, all your data to the cloud
How fast can you
unlock legacy data for
use in cloud
environments?
Are the solutions you
are using today slowing
down or improving
processing?
Will open source
frameworks help
address the complexities
of legacy data?
Do you have legacy
data expertise in-house
or will you have to seek
external resources to
access data?
Precisely: Transform Legacy Data Stores: Microsoft and Precisely

5.
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Precisely: Transform Legacy Data Stores: Microsoft and Precisely
Data governance must cover entire data lifecycle
Consider the full
data lifecycle
Have a metadata
strategy in place
Clear
understanding of
data movement
Data replication and
data lineage are
critical foundations

6.
Precisely: Transform Legacy Data Stores: Microsoft and Precisely
Data bottlenecks, prevent a single point of failure
Native connectivity to target cloud environment
Enable a design once, deploy anywhere approach
Have no impact on performance
Guarantee data delivery
✔
✔
✔
✔
YES NO

7.
Data scaling for real-
time business needs
• Consider real-time data delivery may
break current data pipelines
• Select solutions that have reliable
transfer of information
• Keep in mind streaming platforms such
as Kafka on Azure could enable real-
time delivery
• Assess how your overall cloud strategy
supports real-time data delivery
Precisely: Transform Legacy Data Stores: Microsoft and Precisely

8.
Precisely: Transform Legacy Data Stores: Microsoft and Precisely
+

9.
Connect unlocks data
for Microsoft Azure
Expertise in legacy data
No installation of software on mainframe
Use existing metadata
Quickly understand and access legacy data
Precisely: Transform Legacy Data Stores: Microsoft and Precisely

10.
Precisely: Transform Legacy Data Stores: Microsoft and Precisely
Precisely Connect and Microsoft Azure ecosystem
Data Lake
Analytics
Azure Analysis
Azure Databricks
(Python, Scala, Spark SQL,
Sparkfl, Spark MI, SparklyR)
Azure Data
Lake Storage
Azure Synapse
Analytics
Mainframe
Ingest Store Prep and Train
PolyBase
Model and Serve
Business/custom
apps(structured)
1 2
4
5
Logs, files, and media
(unstructured)
3
SQL