Learn how to configure content-based routing for the YugabyteDB Change Data Capture (CDC) connector. Instead of streaming all change data capture events from a table into a single Kafka Topic, you can reroute an event to other Kafka Topics based on its content. An example use case for this is complying with GDPR regulations, where data needs to be geolocated based on an event’s content.
In this blog, we’ll walk through how to integrate YugabyteDB with a real-time OLAP database-Apache Pinot-using the YugabyteDB Change Data Capture (CDC) connector.
This blog provides a guide to building Spring Boot applications with YugabyteDB using GraalVM’s ahead-of-time (AOT) compilation to generate a native image. The guide covers the necessary prerequisites and steps to trigger the native build, including how to handle dependencies lacking reachability metadata with explicit runtime hints.
There is now support for YugabyteDB in Testcontainers. This blog explores how to use Testcontainers to write integration tests for a Spring Boot application with the Yugabyte database.
In this blog, we will explore how YugabyteDB Change Data Capture (CDC) and open table formats like Apache Iceberg can be used to build data lakes in Amazon S3 using a single copy of the data and achieve low data ingestion latency while avoiding costly rewrites to support updates/deletes and schema evolution.
In this blog, we explore how to stream data from YugabyteDB’s Change Data Capture feature to Snowflake using SnowflakeSinkConnector on Confluent cloud via Kafka connect.
In this blog, we explore how to stream data from YugabyteDB’s Change Data Capture (CDC) feature to Snowflake through Amazon S3.
In this post, we’ll explore how to run Debezium Server with Kafka as a sink using the Debezium connector for YugabyteDB.
In this blog, we’ll discover how to publish data to a Kafka topic and then read those messages to another sink, in this case a PostgreSQL database.
Kubernetes has become widely adopted in the Fortune 500. Many companies are now using the platform to run stateless and stateful applications on-premises or as hybrid cloud deployments in production. Of course, with any new technology, there are growing pains when running resilient Kubernetes workloads. But most executives and developers agree that the benefits far outweigh the challenges.
Data on the Kubernetes ecosystem is evolving rapidly with the rise of stateful applications. However,
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