Data Mesh for Highly Regulated Industries: One Size Does Not Fit All
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Tuesday, April 9, 2024
Time: 9:00 a.m. PT / 12:00 p.m. ET
Interest is growing in the data mesh approach—an organizational and architectural approach to share, access, and manage analytics data in complex and large-scale environments where data ownership is decentralized and each domain owns its own data. At TDWI, we see more organizations embracing the principles of the data mesh. Its decentralized nature can enable scalability, flexibility, and distributed stewardship that allows data teams to be more efficient with data, while utilizing the best-of-breed technologies of their choice.
However, for highly regulated industries such as financial services, healthcare, or energy, the data mesh can seem out of reach. For instance, how can data and security teams manage access to sensitive financial data across a distributed system? How can they ensure consistent compliance, data quality, and reporting structures across hybrid architectures?
Join experts from Databricks and Immuta as they discuss the data mesh in regulated industries with TDWI’s Fern Halper. Topics include:
- What the data mesh is all about; challenges organizations face when trying to implement the data mesh paradigm
- Why a one-size-fits-all architecture approach doesn’t work with the data mesh in highly regulated industries
- Supporting federated governance in the data mesh environment
- How to prove compliant data access and security in the data mesh environment
Guest Speakers
Pavithra Rao
Solutions Architect
Databricks
Pavithra Rao is a delivery solutions architect at Databricks working with fintech organizations. Pavithra has 7 years of experience working with start-ups to Fortune 100 organizations, helping them architect robust data and AI platforms and use cases.
Steve Touw
Co-Founder & Chief Technology Officer
Immuta
Steve is the co-founder and CTO of Immuta, whose mission is to make the future of data secure. He is known for his data science work with U.S. Special Operations Command and the U.S. Intelligence Community. He has a long history of designing large-scale geo-temporal analytics across the U.S. intelligence community—including some of the very first Hadoop analytics and frameworks to manage complex multi-tenant data policy controls. Previously, Steve was the CTO of 42Six Solutions (acquired by Computer Sciences Corporation), where he led a large big data services engineering team. Steve holds a bachelor’s degree in geography from the University of Maryland.
Fern Halper, Ph.D.