Architecting a Hybrid Data Ecosystem: Achieving Technical Cohesion and Business Value in a Multi-platform Environment
TDWI Speaker: Philip Russom, Senior Research Director for Data Management
One of the strongest trends in data management today and into the future is the development of complex, multi-platform architectures that generate and integrate an eclectic mix of old and new data, in every structure imaginable, traveling in time frames from batch to real time. The data comes from legacy, mainstream enterprise, web, and third-party systems, which may be home grown, vendor built, open source, or a mix of these. More sources are coming online from machines, social media, and the Internet of Things. These data environments are hybrid and diverse in the extreme, hence the name hybrid data ecosystem. The hybrid data ecosystem concept was invented and popularized by Enterprise Management Associates (EMA) in 2012.
Business use cases are equally varied. Diverse datasets and applications, when integrated properly, enable new data-driven business practices in advanced analytics, modern data warehousing, omni-channel marketing, and the integrated supply chain. However, to get full business value from large and diverse datasets, there needs to be additional tooling or architectural layer that unifies the many systems and datasets of a hybrid data ecosystem to make it look like and operate like a cohesive unit. Otherwise, the complexity is difficult to understand and leverage.
Successful organizations today apply data integration, application integration, and data virtualization – operating across multiple platforms, tools, and datasets – to design, unify, manage, govern, and optimize a hybrid data ecosystem. This presentation drills into the data and integration requirements of the modern hybrid data ecosystem, with a focus on the many useful roles of data virtualization. EMA end-user research has evolved and modified the HDE every year since 2012. This webinar is based on independent recent research from TDWI.
Join this webinar to learn about:
- What a hybrid data ecosystem is, why it exists, what its barriers and benefits are
- Common business use cases for hybrid data ecosystems
- Approaches to architecting large architectures, such as the hybrid data ecosystem, including the roles of traditional and modern data management techniques
- The special role data virtualization can play in providing a design toolset for logical data models and large-scale architectures; achieving agility and flexibility via logical and virtual techniques; establishing a central hub for data’s standards, movement, metadata, and governance; optimizing multi-platform data processes
Philip Russom, Ph.D.