Donald Feinberg

Donald Feinberg

Distinguished VP Analyst
Donald Feinberg is a Vice President and Distinguished Analyst in the Gartner ITL Data and Analytics group. Mr. Feinberg is responsible for Gartner's research on database management systems and data warehousing infrastructure and big data.
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Wednesday, 20 May, 2020 02:00 PM|Wednesday, 20 May, 2020 02:45 PM
Cloud Is the Future of Data Infrastructure

Data is the core asset of all organizations. Enabling the use of data across the enterprise and outside the organization has become an imperative. The database management market is undergoing a rapid and profound transition to the cloud, as the supporting technology is changing. Cloud and dbPaaS has become the platform of choice and pricing models are under pressure from both open-source and the cloud.
What is driving the data infrastructure transformation to new technologies, cloud platforms and cost models?
How are existing technologies changing and what new technologies are emerging to support this transformation?
What are the vendors doing to address the shift to the cloud and how will the market evolve?

Wednesday, 20 May, 2020 04:00 PM|Wednesday, 20 May, 2020 04:45 PM
Ask the Analyst: Choosing the Right DBMS for Your Project

There are literally hundreds of choices for a DBMS — relational, nonrelational, open source, multimodel, dbPaaS. The confusion in the market grows daily about how to choose a DBMS, what is available, should I use open source and how to decide between relational and nonrelational. We will answer your questions on these topics and best practices for making a DBMS decision.

Wednesday, 20 May, 2020 04:00 PM|Wednesday, 20 May, 2020 04:45 PM
Augmented Data Management Forges a New Alliance Between Human and Artificial Intelligence

Struggling to keep up with challenges to optimally connect and orchestrate data — across ecosystems, platforms and "things”, data management teams increasingly turn to AI techniques to power highly adaptive data management infrastructure. What challenges are creating a need for AI in data management? How will AI impact data management? How will AI augmentation enhance data management infrastructure?

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