Using Data Mesh to Advance Distributed Data Access, Agility, and Governance
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Thursday, July 27, 2023
Time: 9:00 a.m. PT / 12:00 p.m. ET
To drive business decisions and develop critical analytics and AI/ML, organizations need to simplify and accelerate discovery of and access to data – diverse data that is growing today into petabytes in volume. This data is often spread across a distributed landscape of cloud-based and on-premises data marts, data lakes, data warehouses, and file systems. It is also urgent for organizations to step up governance of how data is used and shared to improve trust and to protect sensitive data such as personally identifiable information.
The data mesh has emerged as a leading strategy for enhancing the value of distributed data and avoiding the costs, delays, and management headaches of copying and moving massive amounts of data. Rather than focus on consolidating data in a central platform, a data mesh seeks to strengthen distributed data ownership and governance within domains -- that is, where users with a direct relationship to business priorities build, manage, and share data products across the organization. It is often discussed along with data fabrics, data virtualization, and open data lakehouses as organizations evaluate strategies for their data environment.
Join this TDWI webinar to hear key trends in distributed data management and lessons learned on the journey to establishing a data mesh. Experiences with data meshes are growing; it is time to look at where companies are facing challenges and how they can overcome them to drive the most value.
Topics we will cover include:
- Best practices for success in the data mesh journey so you can make it easier to discover, understand, and trust data
- The importance of metadata catalogs, business glossaries, and data intelligence for integrating discovery, access, and governance
- How data mesh, data fabrics, and data virtualization differ and are related
- The role of an open data lakehouse in a distributed data architecture
- Balancing self-service data domains with requirements for enterprise data governance
Senior Product and Strategy Leader
Nik Acheson is a senior product and strategy leader at Dremio. He has delivered digital and technology transformations at massive scale at organizations such as Nike, Zendesk, AEO, Philips, and the NSA. Prior to joining Dremio, he was the CDO at Okera (Acquired by Databricks).