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Online Talk

Data Mesh: From Concept to Implementation

今すぐ見る

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
Guest Speaker Michele GoetzVP, Principal Analyst, Forrester

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.

Mike AgnichGM and VP of Product Management, Confluent

As General Manager and VP Product for Confluent's Data Streaming Platform (DSP), Mike manages a product portfolio that includes stream processing, connectors and integrations, governance, partnerships and developer tooling. Over the last eight years at Confluent, Mike has held various product leadership roles spanning Apache Kafka, Confluent Cloud and Confluent Platform working closely with customers, partners and R&D to drive adoption and execution of Confluent products. Prior to his work at Confluent, Mike was the founder and CEO of Terrain Data (acquired by Confluent in 2018). Mike earned his MBA from Stanford's Graduate School of Business and his B.S. in Computer Science from Stanford University.