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Stream Big Data with Apache Kafka Integration

Blog post from CData

Post Details
Company
Date Published
Author
Murat Cengiz
Word Count
802
Company Posts That Month
4
Language
English
Hacker News Points
-
Post removed?
No
Summary

Apache Kafka is being increasingly integrated with various systems and solutions to process large amounts of data in real-time, log data, or create metric data from different sources. CData Sync enables easy integration with CRM, ERP, and Analytics software using Apache Kafka as a centralized handler. Setting up the Kafka destination in CData Sync is straightforward, requiring only the server and port information, along with authentication settings if needed. The system uses a local SQLite database to handle state issues, storing the last replication timestamp to filter new records. Optimizations such as compression, batch size management, and transform functionality can be applied to manage message size and improve performance. Scheduled jobs allow for automatic record ingestion, ensuring data feeds are always up-to-date with new entries. The combination of CData Sync and Apache Kafka provides a powerful solution for replicating data from various sources to support analytics, logging, and other requirements.

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