Enabling Data Mesh With Even Driven Data Architecture


The concept of the Data Mesh has strongly resonated with both data professionals and the broader engineering community. Loose coupling, enablement of federated development, and data sharing ease the difficulty of data management in both large and small organizations. As well as bringing data systems closer parity with modern microservice-based systems.

In this talk we will explore how the adoption of an event based data architecture can enable an organization's sustainable transition to Data Mesh. This will include an overview of event-based architecture, architectural patterns for event-based data systems, and organizational considerations.

Background Knowledge:

Basic understanding of Data Engineering/Platforms


Elliott is an expert in data engineering, data warehousing, information management, and technology innovation with a passion for helping transform data into powerful information. He has more than a decade of experience implementing cutting-edge, data-driven applications. He has a passion for helping organizations understand the true potential in their data by working as a leader, architect, and hands-on contributor.

Elliott has built nearly a dozen cloud-native data platforms on AWS, ranging from data warehouses and data lakes, to real-time activation platforms in companies ranging from small startups to large enterprises.

Open Data Science




Open Data Science
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Cambridge, MA 02142

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