By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

RESEARCH & RESOURCES

Available On-Demand - This webinar has been recorded and is now available for download.

What's Ahead in Data Management in 2021?

Webinar Speaker: Philip Russom, Senior Research Director for Data Management

Date: Thursday, December 17, 2020

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

The field of data management continues to evolve through a number of exciting but challenging developments:

Data itself is evolving into larger volumes, from new sources, in a broadening array of structures, containers, interfaces, and latencies. New data-driven business use cases are rising in prominence, especially those for analytics, self-service, and agile operations. In response to user demands, the software vendor and open source communities are supplying many new data platforms, tools, and capabilities – all purpose-built for modern data and its use cases.

This webinar is a “must attend” for technical users and business managers who are facing these changes. The expert panel on this webinar will help attendees understand what’s ahead in 2021 and beyond for data management. Attendees can then apply that information to prioritize the data management changes they must address, plus how they will prepare via hiring, training, budgeting, making a business case, and adopting just the right data platforms and tools.

The webinar panel brings together a panel of experts, moderated by Philip Russom, TDWI’s lead analyst for data management. The panel will hit some of the hotter trends in data management, including:

  • Evolving data volumes, structures, sources, interfaces, and latencies
  • New data platforms, such as Hadoop, clouds, Object Store, and databases based on columns, NoSQL, graph, etc.
  • Cloud for data management, including data warehousing, integration, and analytics
  • Advancements in catalogs, glossaries, metadata, and other data semantics
  • Automation for development productivity and production optimization
  • The rise of machine learning and artificial intelligence, plus how data management must provision the right data for success with predictive analytics

Philip Russom, Ph.D.


Your e-mail address is used to communicate with you about your registration, related products and services, and offers from select vendors. Refer to our Privacy Policy for additional information.

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.