Incremental migration using CDC and KSQL


Details
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*Time below in Singapore time - to find out when the event is in your timezone follow this link: http://www.worldtimebuddy.com/event?lid=1880252&h=1880252&sts=27474720&sln=18-19&a=show
Agenda:
18:00pm-18:05pm: Introduction & Online Networking
18:05pm-18:50pm:
Zabeer Farook , Technical Architect, Credit Agricole
Kaleeswaran Karuppusamy, Technical Architect, Credit Agricole
18:50pm: Q&A
Have follow-up questions afterward? Log in to Slack or Join our Forum (https://www.confluent.io/community/ask-the-community) to ask any follow-up questions!
The talk will be held at 6PM- 7PM local time in Bali GMT +8 and NOT GMT +7 (please ignore the time indicated on the right)
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Speaker:
Zabeer Farook , Technical Architect, Credit Agricole
Kaleeswaran Karuppusamy, Technical Architect, Credit Agricole
Bio:
Zabeer has over 15 years of IT experience. He has experience in architecting event driven applications using Kafka. He is currently driving the architecture and design efforts for transforming a suite of legacy applications.
Kaleeswaran is currently working as a digital transformation lead in a data pipeline project. He has experience in migration and modernizing applications into the cloud and on premises based container platform.
Talk:
Incremental application migration using CDC with KSQL and Kafka streams pipeline
Abstract:
Context : Sample migration use case and possible migration option using CDC and Kafka
- Explain what is Change Data Capture and some of the tools out there to use.
- High level summary on KSQL and Kafka Streams.
- Demonstrate how to set up CDC, Kafka, Schema Registry, and KSQL to build a data pipeline to synchronise a target database from 1 or more source databases
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Online Meetup Etiquette:
• Please hold your questions until the end of the presentation or use the zoom chat during!
• Please arrive on time as zoom meetings can become locked for many reasons (though if you get locked out a recording will be available, but you may have to wait a little while for it!)
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Incremental migration using CDC and KSQL