Enterprise data is increasingly distributed across a growing number of geographies and locations. At the same time, data consumers expect higher-quality insights for making operational, business, and strategic decisions.
So, how do you pull it together? Hybrid cloud solutions offer the best outcomes in terms of cost, data placement, workload control, and user experience. The upside of hybrid cloud solutions is the ability to better match applications with the appropriate services across the entire lifecycle. The downside is added complexity, including limited data visibility, use of multiple protocols, and increased organizational risk.
A data fabric simplifies the data management challenge, unifying distributed data to create intelligent insights that accelerate decision-making. Data fabrics provide consistent capabilities across multiple hybrid cloud environments. They serve as a powerful architecture that unifies different data types then standardizes management, security, and business resilience policies consistently across all locations.
“You need to simplify the complexity of both managing and governing the data,” says David Crozier, HPE’s Head of Product Marketing for HPE GreenLake. “Scaling analytics and AI is all about freeing up data [for] consumers to process data into insights, and that’s where a data fabric comes into play.”
At-a-glance visibility and direct access
A data fabric delivers seamless access across multiple data sources by combining files, objects, and tables and streaming data into a single logical data source that can be accessed using any industry standard format. Providing corporate-wide visibility requires an agnostic approach that allows for deployment on premises, in colocation, across multiple public clouds, at the edge, and in HPE GreenLake. The result is at-a-glance visibility and direct access no matter where the user or data are located.
By providing a federated view across all data sources, organizations deepen team knowledge, foster cross-team collaboration, and enable data sharing that fuels innovation. Built-in security and automated policy management assures data is securely shared in compliance with data locality and sovereignty regulations. And storing data once means business analysts, data engineers, and data scientists spend far less time on discovering, copying, integrating, and normalizing hybrid data.
HPE Ezmeral Data Fabric Software, part of the HPE GreenLake portfolio, takes such an approach, making it easier for enterprises to manage and analyze data across edge-to-cloud deployments. With a data fabric, organizations not only reduce insight latency, they also keep data synchronized across multiple locations, ensuring teams have easy access to the freshest and most accurate data sets.
Leveraging a data fabric to simplify data management and expand use of analytics gives companies the muscle to develop new data-based services and empower teams with real-time insights, steering them on a course to innovation and growth.
Click here to learn how HPE can help turn your data into intelligence.