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Connect CDC
Delivering real-time insights across the enterprise
Ashwin Ramachandran
Housekeeping
Webcast Audio
• Today’s webcast audio is streamed through your computer speakers.
• If you need technical assistance with the web interface or audio,
please reach out to us using the chat window.
Questions Welcome
• Submit your questions at any time during the presentation
using the chat window.
• We will answer them during our Q&A session following the
presentation.
Recording and slides
• This webcast is being recorded. You will receive an
email following the webcast with a link to download
both the recording and the slides.
Today’s Speaker
Ashwin Ramachandran
Senior Product Manager, Syncsort
https://www.linkedin.com/in/ashwin-ramachandran
Streaming CDC
High Availability (HA)
Legacy
MIMIX Share
Data Integration (DI)
Legacy
DMX
DMX-h
DMX Change Data Capture (DMX CDC)
Stream Processing: The New Data
Processing Paradigm
April 9, 2019
“Importance of streaming has
grown enormously in recent years
because it provides a competitive
advantage that reduces the time
gap between data arrival and its
analysis.
Some insights are more valuable
immediately after an event occurs,
but the value diminishes very
rapidly with time.“
Customers across these two legacy worlds are pursuing the ability
to stream data changes into
next-generation distributed streaming platforms
such as Kafka & Kinesis
for analytics and application integration.
An increasing convergence between traditional
“Data Replication” Use Cases
and newer
“Big Data” Use Cases
• 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
• Guarantee data delivery and support data governance and
security requirements
Transform Your Business with
Connect CDC
Single tool supports data replication and big data
convergence
• Replicate data in real-time to feed applications or analytics
• Power business reporting and insights
• Move only changed data
Connects legacy systems to the cloud
• Build streaming data pipelines from traditional systems to real-time
applications
• Support hybrid environments
• Keep data lakes fresh
Connect CDC Connects the
Enterprise
Self-service data integration through browser based interface
• Design, deploy and monitor real-time change replication from a variety of
traditional systems (mainframe, RDBMS, EDW) to next-generation
distributed streaming platforms like Apache Kafka and Amazon Kinesis
• Enable the construction of real-time data pipelines
Guaranteed 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
Connect CDC
Connect CDC Connects the Enterprise
Connect
CDC
Real-time database
replication to
databases, data
warehouses, cloud,
and Big Data
*Including Db2 for z/OS sources
*
PostgreSQL
Security and governance
• Enterprise-grade security and governance
• Kerberos authentication
• TLS/SSL encryption
• Metadata preservation through Kafka schema
registry integration
• Audit trail – data access and change history
Connect CDC: Flexibility to meet business needs
One Way
Distribute
Consolidate
Two Way
Cascade
Bi-Directional
Choose a
topology or
combine them to
meet your data
sharing needs
Connect CDC
Connect CDC
Connect CDC
Connect CDC
Connect CDC
Connect CDC
The Syncsort Connect Pipeline
Custom
Real-Time
Applications
Sources Destinations
Syncsort
Connect
CLIENT OBJECTIVES
• Connecting business-critical
legacy applications with
downstream applications and
analytics platforms
PRIMARY
• Keeping the data lake fresh,
building a real-time data
pipeline
OTHERS
Syncsort
Connect
Mainframe
IBM i
Traditional
Enterprise Data
Warehouse (EDW)
New: Connect CDC Real-Time Data Replication

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New: Connect CDC Real-Time Data Replication

  • 1. Connect CDC Delivering real-time insights across the enterprise Ashwin Ramachandran
  • 2. Housekeeping Webcast Audio • Today’s webcast audio is streamed through your computer speakers. • If you need technical assistance with the web interface or audio, please reach out to us using the chat window. Questions Welcome • Submit your questions at any time during the presentation using the chat window. • We will answer them during our Q&A session following the presentation. Recording and slides • This webcast is being recorded. You will receive an email following the webcast with a link to download both the recording and the slides.
  • 3. Today’s Speaker Ashwin Ramachandran Senior Product Manager, Syncsort https://www.linkedin.com/in/ashwin-ramachandran
  • 4. Streaming CDC High Availability (HA) Legacy MIMIX Share Data Integration (DI) Legacy DMX DMX-h DMX Change Data Capture (DMX CDC) Stream Processing: The New Data Processing Paradigm April 9, 2019 “Importance of streaming has grown enormously in recent years because it provides a competitive advantage that reduces the time gap between data arrival and its analysis. Some insights are more valuable immediately after an event occurs, but the value diminishes very rapidly with time.“ Customers across these two legacy worlds are pursuing the ability to stream data changes into next-generation distributed streaming platforms such as Kafka & Kinesis for analytics and application integration. An increasing convergence between traditional “Data Replication” Use Cases and newer “Big Data” Use Cases
  • 5. • 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 • Guarantee data delivery and support data governance and security requirements Transform Your Business with Connect CDC
  • 6. Single tool supports data replication and big data convergence • Replicate data in real-time to feed applications or analytics • Power business reporting and insights • Move only changed data Connects legacy systems to the cloud • Build streaming data pipelines from traditional systems to real-time applications • Support hybrid environments • Keep data lakes fresh Connect CDC Connects the Enterprise
  • 7. Self-service data integration through browser based interface • Design, deploy and monitor real-time change replication from a variety of traditional systems (mainframe, RDBMS, EDW) to next-generation distributed streaming platforms like Apache Kafka and Amazon Kinesis • Enable the construction of real-time data pipelines Guaranteed 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 Connect CDC
  • 8. Connect CDC Connects the Enterprise Connect CDC Real-time database replication to databases, data warehouses, cloud, and Big Data *Including Db2 for z/OS sources * PostgreSQL
  • 9. Security and governance • Enterprise-grade security and governance • Kerberos authentication • TLS/SSL encryption • Metadata preservation through Kafka schema registry integration • Audit trail – data access and change history
  • 10. Connect CDC: Flexibility to meet business needs One Way Distribute Consolidate Two Way Cascade Bi-Directional Choose a topology or combine them to meet your data sharing needs Connect CDC Connect CDC Connect CDC Connect CDC Connect CDC Connect CDC
  • 11. The Syncsort Connect Pipeline Custom Real-Time Applications Sources Destinations Syncsort Connect CLIENT OBJECTIVES • Connecting business-critical legacy applications with downstream applications and analytics platforms PRIMARY • Keeping the data lake fresh, building a real-time data pipeline OTHERS Syncsort Connect Mainframe IBM i Traditional Enterprise Data Warehouse (EDW)