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www.morling.dev | ||
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2019.jokerconf.com
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| | | | | During this session you will learn about the connection between Apache Kafka, change data capture and Debezium, how to utilize these tools in microservices architectures and much more. | |
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thedevconf.com
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| | | | | For the past few years we all have been hearing about Microservices and its benefits, like scalability, maintainability and usability. The complexities around this formerly "buzz word" are so interesting and impactful, that they deserve to be explored at its deepest in its own conference track. Breaking down a legacy, monolith API into many smaller independent domain-oriented APIs it's definitely a challenge, but it might also be a game-changer for a project or even a company. But, do the complexities ou... | |
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archive.qconsf.com
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| | | | | Debezium (noun | de·be·zi·um | /d?:?b?:zi??m/) - Secret Sauce for Change Data Capture Apache Kafka is a highly popular option for asynchronous event propagation between microservices. Things get challenging though when adding a services database to the picture: How can you avoid inconsistencies between Kafka and the database? Enter change data capture (CDC) and Debezium. By | |
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www.dquach.com
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| | | [AI summary] The provided text is an extensive list of data integration and data management tools, platforms, and companies. It includes both open-source and commercial solutions, ranging from Apache Spark to enterprise software like Talend, TIBCO, and Qlik. The list also includes companies like Dell Boomi, Stitch, and Hevo Data, which offer cloud-based integration services. Additionally, there are mentions of tools like Liquibase, Flyway, and Shipyard for database management and container orchestration. The text appears to be a comprehensive catalog of data-related technologies, possibly intended for comparison, research, or decision-making in data engineering and integration projects. | ||
