Apache Kafka is an open-source stream-processing software platform, written in Scala and Java. It provides a unified, high-throughput, low-latency platform for handling real-time data feeds.
The Kafka topic can be determined dynamically based on an environment variable like the table name, or configured to a set value. JSON and Avro are the most popular formats but others are supported as well. HVR integrates with schema registry and is Confluent verified.
 | Key Features: See how change data capture, data validation and repair, and reporting all in one tool simplify data integration management. |
 | Table Creation and Initial Load. Mapping data between source and target is automated and made easy. |
 | Log-based Change Data Capture. Only the changes are moved between source and target, a low impact way to move data. |
 | Data Compare. Have assurance your data is accurate. HVR includes the ability to compare data before consumption. |
 | Insights: This tool gives you the ability to view how data is moving in real-time, be proactive and identify chokepoints. |
Bourne Leisure – Building a Modern Data Platform with HVR & Snowflake Watch this on-demand recording to hear from Jeremy Stancombe, Head of IT Architecture at Bourne Leisure on how they are using HVR and Snowflake to support the delivery of ...
Achieving Real-time Analytics with Big Data & Your Data Warehouse Hermes, Germany’s largest post-independent logistics service provider for deliveries, had one main goal—make faster and smarter data-driven business decisions. But with high volumes of diverse and disparate data, ...
HVR is a Confluent Certified Connector for Kafka Apache Kafka is a distributed streaming platform that is used to: Distribute data between systems or applications Build real-time applications that respond to data events HVR is a Confluent Certified Connector for ...
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