Your mainframe and IBM i platforms do hard work for your business, supporting essential computing transactions every day. However, mainframe data does not easily integrate with the cloud platforms driving data-driven, real-time, analytics-focused business processes. Integrating data from this critical technology often results in high costs, missed deadlines, and unhappy customers. So, what can you do? Join us to hear how Precisely Connect can help use the power of Apache Kafka to eliminate data silos and make cloud-based, event-driven data architectures a reality. Start your cloud transformation journey today, knowing you don’t need to leave essential transaction data behind! Learn more about: • Where to begin your cloud transformation journey using mainframe and IBM i data and Apache Kafka • What you need to move mainframe and IBM i data to the cloud while reducing costs, modernizing architectures, and using the staff you have today • How Precisely Connect customers are using change data capture and Apache Kafka to deliver real-time insights to the cloud

1. Transform Your
Mainframe and IBM i
Data for the Cloud
with Precisely and
Apache Kafka
Ashwin Ramachandran | Senior Director, Product Management

2. Agenda
• Beginning your cloud transformation
journey
• Connecting the mainframe to the cloud
• Ingredients for success of mainframe to the
cloud
• Customer story: Transforming IBM i with
Precisely, Apache Kafka, and the cloud
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

3. Companies typically waste
an average of 35% of their
cloud budget on
inefficiencies.
PwC, 2021
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

4. Legacy sources
cannot be
left behind
of executives say their customer-
facing applications are completely
or very reliant on mainframe and
IBM i processing
Forrester Consulting, 2019
55%
Your traditional systems
– including mainframes, IBM i
servers & data warehouses –
adapt and deliver increasing
value with each new technology
wave
72%
increase in transaction volume
on mainframe environments in
2019
BMC 2019
$1.65trillion
invested by enterprise IT
to support data warehouse &
analytics workloads over the past
decade
Wikibon “10-Year Worldwide Enterprise IT Spending 2008-2017”
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

5. What happens when legacy data is unlocked?
Enhanced BI and
analytics
Improved data
discovery
Data
democratization
with governance
Critical data
available for next-
gen projects – AI
and ML
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

6. The global leader in data integrity
Trust your data. Build your possibilities.
Our data integrity software and data enrichment products
deliver accuracy and consistency to power confident
business decisions.
Brands you trust, trust us
Data leaders partner with us
of the Fortune 100
90
Customers in more than
100
2,000
employees
customers
12,000
countries

7. Trusted data is critical for decision-making
Make decisions
about customer
strategy and
experience from a
unified view of
customer data
Apply AI to proven
business use cases to
automate and
enhance decision-
making
Analyze location to
power confident
decisions and create
competitive
advantage
Navigate complex
regulations with
quality data for
compliant decisions
that mitigate risk
Customer 360 AI Location Governance
Harnessing exploding data volumes to deliver integrated, accurate views of data, enriched with
context and location, drives better decisions and successful outcomes
Confidential: Prepared for Precisely Customers and Prospects

8. Hybrid Cloud
68%
of organizations said
disparate data
negatively impacted
their organization2
Streaming
92%
of firms agree they
need to increase
use of outside
data5
Location
47%
of newly created
data records have at
least one
critical error3
AI
54%
of enterprises
challenged by lack of
data location
intelligence4
of CEOs are concerned about the integrity
of the data they’re basing decisions on1
Sources: 1. Forbes, 2. Data Trends Survey 2019, 3. Harvard Business Review, 4. IDC, 5. Forrester
84%
Data integrity is the next business imperative
Confidential: Prepared for Precisely Customers and Prospects

9. Genomics
IoT
Social
tech
GPS
3G/4G
Smart
phones
Storage
& cloud
Search
Machine
learning
Advanced
analytics
Speech
-to-
speech
Fully
ubiquitous
internet
Ubiquitous
sensors
Wearables
VR/AR
Blockchain
Auto-
nomous
vehicles
5G
Bio-
metrics
LiFi
3D
printing
Bioprinting
Biochips
Micro data
centers
Natural
language
Smart
robots
Affective
computing Drones
2000s 2020
Data Integrity
Deliver accuracy,
consistency & context
Big Data
Include any kind of data
from anywhere
Cloud
Make data elastic,
easy & accessible
Data Warehousing
Centralize transactional
data for reporting
The journey to data-driven decisions
Confidential: Prepared for Precisely Customers and Prospects

10. Connect today’s
infrastructure with
tomorrow’s technology
to unlock the potential of
all your enterprise data
Integrate
Understand your data and
ensure it is accurate,
consistent and complete
for confident
business decisions
Verify
Analyze location data for
enhanced and
actionable business
insights that drive
superior outcomes
Locate
Power enhanced decision
making with expertly
curated, up-to-date
business, location, and
consumer data
Enrich
The four elements of data integrity
D A T A I N T E G R I T Y
Confidential: Prepared for Precisely Customers and Prospects

11. Beginning
your cloud
transformation
journey
Focus on
application
transformation first
Consider
containerization
for hybrid and
multi-cloud
deployments
Understand on-
prem data
pipelines
Determine what
on-prem solutions
need to open to
cloud
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

12. Connecting mainframe
to the cloud
Bring rich transaction data to
the cloud
Improve cloud analytics and
insights
Speed delivery of information
Scale with next-generation
initiatives
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

13. Ingredients for success of mainframe
to the cloud

14. Ingredient 1: Log-based data capture
Did you know?
• Connect CDC can leverage
published Log or Journal
standards to identify and
capture the change before
copying to the Share Queue.
• The Connect CDC Queue
ensures that data integrity is
maintained and zero data loss
occurs in the event of a dropped
connection during file
transmission.
1
1
2
3
4
Changed data
Source DBMS
Change selector
Log/Journal Queue Retrieve/Transform/Send
Apply
1. Use of transaction logs or triggers eliminates the
need for invasive actions on the DBMS
2. Selective extracts from the logs and a defined
queue space ensures data integrity
3. Transformation in many cases can be done off
box to reduce impact to production
4. The apply process returns acknowledgement to
queue to complete pseudo two-phase commit
Target DBMS
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

15. Ingredient 2: Real-time data
pipelines
• Stream real-time application data from relational database, such as
DB2 for IBM i to mission critical business applications and analytics
platforms
• Other systems examples: mainframes, EDWs
• Business application examples: fraud detection, hotel reservations,
mobile banking, etc.
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

16. Ingredient 3: Flexible replication options
One Way Two Way
Cascade
Bi-Directional
Distribute
Consolidate
Data integration
solutions should
enable topologies
that meet your
data sharing
needs
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

17. RDBMS
EDWs
Data Streams
Strategic Projects:
Real-time analytics, AI
and machine learning
Targets
Connect CDC is
cloud platform
enabled for
Ingest and Stream
Ingredient 4:
Precisely Connect
Other
Db2 (IBM i,
z, LUW)
Sybase
Oracle Informix PostgreSQL
MySQL
MS SQL Server
Flat Files
(delimited)
Mainframe
IMS Db2 for z/OS
VSAM
Precisely Connect
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

18. Connect is the best
solution for accessing and
integrating mainframe
and IBM i data with cloud
frameworks in real time.
Quickly and efficiently integrate
all enterprise data – including
mainframe and IBM i
Design-once, deploy anywhere
approach to different integration
architectures
Reduce costs and development
time – from weeks to days
Secure and governed +
unrivaled scalability and
performance
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

19. Scale to meet the needs of
your business
Self-service data integration through browser-based interface
• Design, deploy and monitor real-time change replication from a variety of traditional
systems (mainframe, IMS, RDBMS, EDW) to next-generation distributed streaming
platforms like Apache Kafka
• Enable the construction of real-time data pipelines
Resilient data delivery
• Fault tolerant – resilient to network/source/target/application server outages
• Protects against loss of data if a connection is temporarily lost
• Keeps track of exactly where data transfer left off and automatically restarts at that
exact point – no manual intervention
• No missing or duplicate data!
Maintain metadata integrity
• Integrates with Kafka schema registry
• On-demand metadata-driven pulls of data from a variety of database systems to next
generation data stores like the cloud and cluster
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka

20. Customer Story
• Connect leverages transactional CICS events (committed changes)
within the mainframe, replicating the changes to Latitude’s
Confluent-based Kafka event bus
• Connect performs one-way, resilient replication to Confluent Kafka,
maintaining transactional integrity and ensuring proper data
delivery
• Simplified data transformation, COBOL copybook mapping,
REDEFINE handling, and more so that data is intelligible in Kafka
• Improved customer engagement and clearer insight into client
behavior
About
Australian financial services company with
headquarters in Melbourne, Victoria. Core business
is in consumer finance through a variety of services
including unsecured personal loans, credit cards,
car loans, personal insurance and interest free
retail finance. It is the biggest non-bank lender of
consumer credit in Australia.
Problem
Sought to modernize their transaction monitoring
capabilities in order to improve their client
engagement. This goal required gaining real-time
insight into client behavior, so that they could
provide alerting, notifications, offers, and reminders
as events happened. Unlocking this data from
mainframe VSAM was a critical step to achieving
success.
Solution
Precisely Connect
Confluent Kafka
Transform Your Mainframe and IBM i Data for the Cloud with
Precisely and Apache Kafka