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Online Talk

Data Mesh: From Concept to Implementation

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Available On-demand

While the benefits of a data mesh architecture are clear, what’s not as obvious are the implementation challenges for businesses, especially those working with legacy data pipelines. Building a data mesh the right way requires a modern approach to data pipelines that includes streaming data so you can get the right data to the right teams in the right format at the right time.

Join us on for an in-depth exploration of best practices in implementing a data mesh architecture. You'll gain insights from three distinct customer perspectives tailored to your region of interest.

Here's what you can expect to learn per region:

  • Best practices for building a data mesh from analyst Michele Goetz
  • The principles for building better data pipelines for a data mesh architecture from Mike Agnich, VP of Product at Confluent.
  • How streaming pipelines helped Lumen implement a data mesh and architect a democratized data marketplace

Michele Goetz serves enterprise architects, chief data officers, and business analysts trying to navigate the complexities of data while running an insight-driven business. Her research covers artificial intelligence technologies and consultancies, semantic technology, data management strategy, data governance, and data integration.

Additional Resources

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Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka
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Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures
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e-book: Microservices Customer Stories

See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices