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.
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Key Features: See how change data capture, data validation and repair, and reporting all in one tool simplify data integration management. |
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Table Creation and Initial Load. Mapping data between source and target is automated and made easy. |
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Log-based Change Data Capture. Only the changes are moved between source and target, a low impact way to move data. |
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Data Compare. Have assurance your data is accurate. HVR includes the ability to compare data before consumption. |
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Insights: This tool gives you the ability to view how data is moving in real-time, be proactive and identify chokepoints. |
Recorded on: Tuesday, October 9, 2018 Joint webinar brought to you by: Organizations are quickly adopting microservice architectures to achieve better customer service and improve user experience while limiting downtime and data loss. However, transitioning from a monolithic architecture based on stateful ...
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