Tim takes you through the latest advancements in Quix Streams with the release of version 2.11, a game-changer for data integration enthusiasts and professionals alike.
This update introduces powerful Source Connectors, designed to seamlessly ingest diverse data sources into the Kafka ecosystem, enhancing your data processing capabilities.
Whether you're dealing with CSV files or complex data sources, Quix Streams simplifies the process, allowing you to effortlessly transform and route data to Kafka topics.
This video provides a guide on utilizing, building and contributing to these Source Connectors, with a focus on the CSV source connector, known for its simplicity and efficiency. Learn how to implement the necessary multi-processing patterns to optimize your data workflows, ensuring smooth and reliable data ingestion.
Join the vibrant Quix Streams community and contribute to the ever-growing library of connectors. Your contributions can address specific use cases, helping to expand the ecosystem and drive innovation. The community welcomes all levels of contributions, providing a platform for collaboration and growth.
Stay ahead of the curve by subscribing to the Quix Streams channel, where you'll receive updates on the latest features and enhancements. Engage with a community of like-minded data professionals and be part of the future of data streaming technology.
For more details check out the Quix Streams Developer Docs: https://quix.io/docs/quix-streams/int...
Keywords: Quix Streams, Source Connectors, data ingestion, Kafka ecosystem, CSV source connector, Kafka topics, data processing, community contributions, data streaming technology.
Table of Contents:
00:00 - Intro
00:35 - Using source connectors
03:59 - Contributing
05:15 - That's a wrap