Data Mesh Learning: Data Catalogs vs Product Catalogs


Details
**Update** New Zoom link: https://us02web.zoom.us/j/86507616088?pwd=H2coH9XjPnTtgb3F5DTbDwDavzuRbb.1
Hosts:
Andrew Sharp, Principal Consultant/Data Governance, Oakland Group
Amy Raygada, Senior Data Product Manager, Swiss Marketplace
Wannes Rosiers, Product Manager and Data Enthusiast, Conveyor
Join us for an engaging and informative Data Mesh Meetup where we delve into the evolving landscape of data management with a focus on “Data Catalogs vs. Data Product Catalogs.” In this session, we will explore the critical roles these catalogs play in the data ecosystem and their impact on driving data democratization and self-service analytics.
Data catalogs have long been a staple in organizing and governing enterprise data assets, providing metadata management, data lineage, and search functionalities. However, with the advent of the data mesh paradigm, the concept of data product catalogs has emerged, emphasizing the need to treat data as a product with clear ownership, discoverability, and usability.
Our expert speakers will provide insights into:
• The fundamental differences between traditional data catalogs and data product catalogs.
• How data product catalogs align with the principles of data mesh.
• Real-world case studies highlighting the implementation and benefits of data product catalogs.
• Best practices for transitioning from data catalogs to data product catalogs within a data mesh architecture.
Whether you are a data engineer, architect, or business leader, this meetup will equip you with the knowledge to navigate the complexities of modern data management and leverage data catalogs to unlock the full potential of your data assets. Join us to network with like-minded professionals and stay at the forefront of data innovation.

Data Mesh Learning: Data Catalogs vs Product Catalogs