Today, data management has become highly complex because of data explosion, data distribution across on-premises and multiple clouds, demand for real-time data, and growing compliance mandates. The good news is that new and emerging technologies are automating data management functions to simplify and accelerate business initiatives!
At Forrester’s upcoming Data Strategy & Insights event, November 18–19, I will be presenting on the future of data management. Data professionals will learn about new and evolving data management technologies and architectures.
Data is the most critical asset to any organization; without it, applications, AI/ML, blockchain, cloud, analytics, or insights cannot function. And data management is a critical function that helps store, process, secure, and govern data. Traditional data management approaches, however, are failing to meet the new demands of businesses to support real-time, consistent, and self-service data. This session focuses on trends and challenges and highlights key innovations in data management.
Here’s a preview of some of the technologies and architectures that I’ll talk about in the session:
- Global data management. With distributed data across hybrid and multicloud environments, organizations find it difficult to support new applications and insights quickly. Global data management is a new approach to managing data and metadata across regions to support consistent and real-time data.
- Extended data platforms. Too many data platforms are slowing down new insights. Data often moves from transactional to operational and finally to the analytical system before it becomes available in dashboards. The new extended data platform types, such as translytical and multimodel, help unify workloads and data functions. These help to deliver faster time-to-value for new and emerging use cases.
I’ll be diving into the details at the Data Strategy & Insights event, so take a look at the agenda and reserve your spot!