Urgent Investments in data, analytics and AI use cases has put the spotlight once more on strong data management foundations. Is our Data even Ready for upcoming AI, analytics and data sharing initiatives is now top of mindshare for heads of data, CDAOs and their counterparts. Data Fabrics have emerged as a long term, foundational data management architecture that you should now pursue for sustained D&A success. This session will:
1. Help understand what data Fabrics are and what they mean for your data strategy and architecture
2. Help decide how to build and where to buy
3. Navigate the vendor landscape to assist in tech procurement decisions to aid your fabric journey
talk-data.com
Topic
Fabric
Microsoft Fabric
5
tagged
Activity Trend
Top Events
Data fabric and data mesh are not mutually exclusive. Join us in this two-speaker debate session that aims to put an end to a five-year long debate comparing fabric and mesh. D&A leaders can deploy them independently, or best-case together. You will find out how you can deploy the fabric design to unify data management and mesh operating model to distribute data management.
Data ecosystems, built on data fabric design and infused with AI, promise an integrated, cost effective, and operationally simple approach to varied data management challenges. However, they don't yet always deliver on that promise. This research explores the maturity of various ecosystem components and provides a guide for D&A leaders and others looking to invest in data foundations for competitive differentiation.
Let's kick this interaction off with some inputs from a Gartner expert and let the discussion evolve on its own. Join this session to offer your input to the data fabric and data mesh debate. Be prepared to challenge or reinforce positions from the market and discuss them with peers and a Gartner expert, who will cover these positions and their alternatives.
Data fabric and data mesh are not mutually exclusive. Join this session to learn about how D&A leaders can put an end to a five-year long debate comparing fabric and mesh. You can deploy them independently, or best-case together. You will find out how you can deploy the fabric design to unify data management and mesh operating model to distribute data management in a sensible manner.