As many of our customers have come to learn - integrating legacy data into modern data architecture is easier said than done! View this on-demand webinar to learn all about Precisely's seamless data integration solutions and how they have helped thousands of customers like you trust their data. Learn about the two flavors of Precisely's Connect: • Collect, prepare, transform and load your data to various targets using Connect ETL with the flexibility of using clusters and running on many different environments. With our 'design once, deploy anywhere' feature; what is built on prem today, can run on a cloud platform tomorrow with no development or mainframe expertise required. • Capture data changes in real-time with no coding, tuning or performance impact using Connect CDC. Replicating exactly WHAT you need and HOW you need it with over 80 built-in data transformation methods.

1. Seamless, real-time
data integration
Precisely Connect Overview
Liz Thompson | Sales Engineer

2. 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

3. Modern Data Integration + Legacy Data =
Easier Said Than Done!

4. Integrate data seamlessly from legacy systems into next-gen
cloud and data platforms with one solution.
Batch data transformation Data replication via CDC
High-performance, lightweight batch
data processing for distributed
platforms
Real-time data replication to streaming
platforms, cloud, databases and data
warehouses
Connect

5. Connect is the best
solution for accessing
and integrating
mainframe and IBM i
data with cloud data
platforms
Quickly and efficiently integrate
ALL enterprise data – including
mainframe and IBM i
Design-once, deploy anywhere
approach to building data
pipelines
Minimal development costs and
time
Unrivaled scalability and
performance

6. Connect speaks mainframe
Data Translation
• Connect can translate mainframe
on the fly
• No mainframe expertise required
• No need to stage extra copies
Complex Copybooks
• Connect leverages copybooks as-is - no
matter how complex
• Multiple redefines
• Directives, SKIP, EJECT, etc.
• Compiler tags
• ODO’s, even nested
• No padding/exploding the data
• Smaller files = faster execution
Variable Length Records
• Record descriptor words make it
hard to split variable length data
• Connect handles distributing
variable length data with ease.
• Retains the integrity of data
• If you choose, data can remain
unchanged on object storage,
HDFS, etc. while still matching the
original copybook.

7. Or, get your mainframe data into big data, in a big
data format
Want your data in a cloud-native format? Connect can translate on the fly!
• Big Data lacks robust connectivity to
mainframe.
• With Connect, you can:
• Securely access mainframe data
with FTPS, Connect:Direct.
• Transform data on the fly – no
staging.
• Import hundreds or Db2 tables to
your cluster with a few mouse
clicks.
Access
• Mainframe data needs to be joined with
other data sources for full benefit.
• With Connect, you can:
• Integrate mainframe, relational data,
files, streaming data, …
• Handle all kinds of data formats, old and
new: RDBMS, mainframe variable,
HDFS, DBFS, Hive, Delta Lake, text, Avro,
Kafka, Parquet, S3, …
Integrate
• SLA’s are shorter and data is growing.
• With Connect, you can:
• Access data in parallel.
• Integrate even streaming data with
Spark support.
• Keep Big Data in sync with
mainframe and relational database
changes in real-time with Connect’s
CDC capabilities.
Fast

8. Connect ETL

9. Mainframe
IBM i
Relational
databases,
EDW, DBMS
Flat files,
XML, JSON
Sources
Strategic Projects:
Real-time analytics, AI
and machine learning
Targets
Deploy Connect ETL
on a cluster,
Windows, Unix,
Linux, or cloud
Integrate,
Prepare,
Load, Cleanse,
Transform, Deliver
Amazon S3
On-prem
legacy
stores
Cloud
platforms
Big
data
Connect ETL
Precisely Connect

10. Offload data and processing
• Offload data and processing from mainframe to Cloudera, Databricks,
Snowflake, and more
• Direct, high-performance connectivity to the mainframe
• Ingest from a variety of file formats and data types
• Examples: VSAM, fixed length, variable length, OCCURS, OCCURS DEPENDING ON,
REDEFINES, packed decimals, COMP data types
• Translations from EBCDIC to a variety of encodings
• Examples: ASCII, UTF-8, ICU codepage encodings
• Convert compressed number formats to displayable number formats
• Archive in raw format to target and process without the need for conversion

11. Connect to any source
• Native drivers to extract data for guaranteed optimal speed and efficiency
• Direct mainframe connectivity
• Support for distributed sources, external sources, flat files, weblogs, etc.
• Join, transform, de-normalize, before landing to the target
• Unique approach to convert the data to native Big Data formats, such as Avro, Parquet,
and ORC
• Quickly create reports showing off the insights from their data
• Connections for Tableau and Qlik
• Read and write to/from Apache Kafka

12. Design once, deploy anywhere
No re-design, re-compile or re-work – ever.
• Design future-proof workflows for batch and streaming
data
• Cleanse, blend and transform data for context and
meaning
• Move from dev to test to production
• Move from on-premises to Cloud
• Move from one Cloud to another
Drive results through high performance
• Get excellent performance every time
without tuning, load balancing, etc.
Use existing skills to drive new projects
• No parallel programming – Java, MapReduce, Spark …
No worries about:
• Mappers, Reducers
• Big side or small side of joins …
Design
Once
in visual UX
Deploy Anywhere!
On-
premises ,
Cloud
Spark,
MapReduce,
Future
Platforms
Windows,
Unix,
Linux
Batch,
Streaming
Single
Node,
Cluster

13. Connect comes equipped with
Intelligent Execution
• No administration or management, Connect’s ETL engine
dynamically selects the most efficient algorithms based on the data
structures and systems attributes at run-time
• Highly performant with small-footprint and comprehensive support
for growing modern data warehouses
• Visual design that enables jobs to be created once, and deployed
them anywhere
— Spark, Hadoop, Linux, Unix, Windows
— Public, private, hybrid or multi-cloud
• Simplicity and ease of use - move applications from standalone
server environments and from MapReduce to Spark – as easy as
clicking on a dropdown menu
• Future-proof your organization from underlying complexities of
your technology stack

14. Connect ETL Advantages
• Connect ETL requires no installation on the mainframe
• No mainframe MIPS used
• Extract from the mainframe, apply translation and transformation in memory and load directly to
RDBMS in one step (no source staging needed), Cloud, Big Data platforms
• No source staging keeps data more secure
• Future proofing
• Design once, deploy anywhere
• Simple, lightweight architecture streamlines development and deployment
• No data repository required
• High performance light weight, self-tuning engine
• No coding, no tuning

15. Connect ETL Advantages
• We are the experts in mainframe data conversion with excellent support
• Seamlessly read or write mainframe data based on COBOL Copybook
• Apply multiple copybooks to a single mainframe file in one step
• No data loss or data type mismatches -
• Support for complex hierarchical data from Mainframe and IBM i
• Automatically convert from EBCDIC to ASCII including binary values!
• Support for Occurs Depending On (ODO)
• Support high/low values,
• Support for packed decimal
• Support for COMP data

16. Connect Data Replication (CDC)

17. Transform your business with Connect CDC
capabilities
• Build streaming data pipelines to power business decision-making with real-time
data
• Get a consistent view of the data across the enterprise and keep your business in
sync
• Keep data lakes fresh with changes made on transactional systems – including
mainframe
• Enable timely reporting and meet tightening SLAs
• Migrate data with zero downtime for database/application upgrades and system
re-platforming
• Resilient data delivery and support data governance and security requirements

18. Connect – Data Replication Overview
• IBM Db2 for i
• IBM Db2 for z
• IBM Db2 LUW
• IBM Informix
• IMS
Real-time Data Sync
• Without overloading networks.
• Without affecting source database
performance.
• Without coding or tuning.
Real-Time Data Replication +
Transformation
• Apache Kafka
• Oracle
• Sybase
• VSAM
• IMS
• Snowflake
Resilient Delivery – Reliable transfer
of data even if connectivity fails on
either side. No data loss. Auto restart.
High Performance – Captures
changes in source as they happen.
Updates table statistics for faster
queries.
Flexible – RDBMS, Cloud, Cluster
• Replicate data to RDBMSs,
enterprise data warehouses,
cloud systems, and Kafka
• Oracle
• Oracle
RAC
• Sybase
• VSAM
• MS SQL
Server
• IBM Db2 (i, z,
LUW)
• MS Azure SQL
Database
• MS SQL Server
• Teradata
• IBM Informix
Conflict Resolution,
Collision Monitoring,
Tracking and Auditing
Example Sources Example Targets

19. Connect’s CDC High-level Architecture
Source
Database
PROJECT
METADATA
CHANGE DATA
CAPTURE
Target
Database
PROJECT
METADATA
Connect SaaS

20. Flexible Replication Options
One Way Two Way
Cascade
Bi-Directional
Distribute
Consolidate
Choose a topology
or combine them
to meet your data
sharing needs

21. Resilient replication: enable information
accuracy
Ensures ongoing integrity
• Changes collected in queue on source
• Moved to target only after committed
on source
• Ensures write-order-consistency retained
• Queues retained until successfully applied
• No database table locking
Ensures failure integrity
• Automatically detects communications
errors
• Automatically recovers the connection and
processes
• Alerts administrator
• No data is lost
Email Alerting

22. Accurate tracking and data auditing
Detects and resolves conflicts
• Maintains data integrity
Model verification
• Validates data movement model
Audit Journal Mapping tracks
all updates and changes
• Records
• Before and after values for every column
• Type of transaction
• Type of sending DBMS
• Table name
• User name
• Transaction information
• Records to flat file or to database table
• Can assist with SOX, HIPAA audit
requirements

23. Replicate exactly what you need
Filters determine what data gets moved
• Select specific column and table
• Select specific rows and table

24. Transforms data exactly how you need to
• Transforms data into useful information
• 80+ built-in transformation methods
• Field transformations, such as:
• DECIMAL(5,2)
• nulltostring(ZIP_CODE,'00000')
• Table transformation, such as:
• Column merging
• Column splitting
• Creating derived columns
• Custom lookup tables
• Create custom data transformations using
powerful Java scripting interface

25. Connect CDC Advantages
• Extract from the mainframe, apply translation
and transformation in memory and load directly
to RDBMS in one step (no source staging
needed), Cloud, Big Data platforms
• No staging of source data keeps data more
secure
• Connect CDC uses minimal mainframe MIPS
• No data loss or data type mismatches -
• Support for complex hierarchical data from
Mainframe and IBM i
• Automatically convert from EBCDIC to ASCII
including binary values!
• Support for Occurs Depending On (ODO)
• Support high/low values,
• Support for packed decimal
• Support for COMP data
• Fast real-time capture for IMS,
VSAM, and DB2. Our capture uses
the active logs, where other products
can only look at the IMS archive logs
• Automatic recovery from network
failures for all sources including MF
• Simplicity – no coding, no tuning
• We are the experts in mainframe
data conversion with excellent
support

26. Precisely data integration top differentiators
1
Resilient & Fault-
Tolerant Replication
2
Scalability &
Performance
3
Design Once,
Deploy Anywhere
4
Native Tech
Partner Integration