Future of ETL isn't what it used to be - Gwen Shapira

Apr 17, 2018 · Paris, France

Nous avons le plaisir de recevoir Gwen Shapira Principal Data Architect à Confluent pour le meet-up d'avril !

Programme :

18h45 : Accueil

19h00 : Future of ETL isn't what it used to be - Gwen Shapira, Confluent

Abstract: Data integration is a difficult problem. We know this because 80% of the time in every project is spent getting the data you want the way you want it and because this problem remains challenging despite 40 years of attempts to solve it. Software engineering practices constantly evolve, but in many organizations, data engineering teams still party like its 1999. Gwen Shapira shares design and architecture patterns that are used to modernize data engineering and details how Apache Kafka, microservices, and event streams are used by modern engineering organizations to efficiently build data pipelines that are scalable, reliable, and built to evolve.

Bio: Gwen is a principal data architect at Confluent helping customers achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating microservices, relational and big data technologies. She currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an author of “Kafka - the Definitive Guide”, "Hadoop Application Architectures", and a frequent presenter at industry conferences. Gwen is also a committer on the Apache Kafka and Apache Sqoop projects. When Gwen isn't coding or building data pipelines, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.

20h00 : Networking & Apéro

Keep Calm and Stream your Data

Event organizers
  • Paris Apache Kafka Meetup

    Un groupe pour les développeurs et les utilisateurs d'Apache Kafka. Kafka est un système de message de type publish/subscribe distribué et tolérant à la panne. Rejoignez-nous pour en apprendre davantage sur Kafka et les technologies associées (Kafka Connect, Kafka Streams). N'hésitez pas à nous rejoindre pour partager vos retours d'expériences, discuter des bonnes pratiques et des cas d'utilisations.

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