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 github.com
GitHub - ssp-data/practical-data-engineering at v1
| | 2019.jokerconf.com
Practical change data streaming use cases with Apache Kafka and Debezium
4.8 parsecs away

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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.
| | www.dquach.com
Data Engineering Low Code Tools Dan Quach Blog
4.5 parsecs away

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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.
| | thomaslarock.com
Thomas LaRock - Senior Data Engineering Leader
3.1 parsecs away

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| | [AI summary] Thomas LaRock, a data engineering leader and technical evangelist, discusses his career in building developer communities, driving data platform adoption, and current focus on machine learning and data analytics through his MS program.
| | leehanchung.github.io
When Prompt Deployment Goes Wrong: MLOps Lessons from ChatGPT's 'Sycophantic' Rollback
19.8 parsecs away

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| An analysis of the April 2025 GPT-4o sycophancy incident through the lens of MLOps. Learn why prompt changes demand rigorous deployment strategies (Canary, S...