Virtual Hands-On Lab

Introduction to Real-time ETL with Decodable

Registration is closed, but more labs are coming! Join the waitlist by completing the form.
Gunnar
Hans
Gunnar Morling
Senior Staff Software Engineer, Decodable
Hans-Peter Grahsl
Staff Developer Advocate, Decodable

Ready to build real-time data pipelines but not sure where to start? Then this instructor-led virtual hands-on lab is tailor-made for you!

Using Decodable, a real-time data platform built on top of Apache Flink and Debezium, you will build an end-to-end data flow from Postgres to OpenSearch. Changes in the database will be propagated with very low latency from source to sink, enabling powerful analytics and full-text queries against the latest data.

Entirely managed in the cloud, this requires only a web browser.

Register now to

  • Get started with real-time ETL on Decodable within minutes.

  • Configure managed source and sink connectors for Postgres and OpenSearch.

  • Apply transformations such as filtering and denormalizing your data using streaming SQL.
Virtual Hands-On Lab

Introduction to Real-time ETL with Decodable

Registration is closed, but more labs are coming! Join the waitlist by completing the form.
Gunnar
Gunnar Morling
Senior Staff Software Engineer, Decodable
Hans
Hans-Peter Grahsl
Staff Developer Advocate, Decodable

Ready to build real-time data pipelines but not sure where to start? Then this instructor-led virtual hands-on lab is tailor-made for you!

Using Decodable, a real-time data platform built on top of Apache Flink and Debezium, you will build an end-to-end data flow from Postgres to OpenSearch. Changes in the database will be propagated with very low latency from source to sink, enabling powerful analytics and full-text queries against the latest data.

Entirely managed in the cloud, this requires only a web browser.

Register now to

  • Get started with real-time ETL on Decodable within minutes.

  • Configure managed source and sink connectors for Postgres and OpenSearch.

  • Apply transformations such as filtering and denormalizing your data using streaming SQL.