Integrating highly available data streams into your analytics initiatives results in better business decisions and allows you to respond in milliseconds with unique customer experiences.
IDC research indicates that driving better business decisions requires access to the freshest data available then making it available to any persona within your business.
Providing the freshest data means that you need to process data in real-time to produce first-mover advantage, greater resiliency, and agility resulting in greater responsive to business changes.[2]
But processing data in real time is difficult because companies are struggling with ways to manage, store, and analyze different data types and platforms used by today’s digital enterprise. Organizations across all industries are realizing that real-time intelligence means the inclusion of real-time streaming technologies, which only complicates your data landscape.
The explosive need for processing streaming data is evidenced by the fact that by 2025, 90% of the global 1000 will be using event-streaming technologies to improve customers experiences and business outcomes. But if you are using multiple analytic solutions, you have discovered that trying to unify all this data is complex and time consuming—which means data engineers and scientists spend more time getting access or staging data than processing it.
To solve this problem, IDC predicts that by 2027, 66% of enterprises will need to invest in a centralized data control plane to remove data silos and allow organizations to make data-driven decisions without impacting security, governance, and compliance.[3]
HPE Ezmeral Data Fabric
Accelerate innovation by centrally controlling and managing all your data with HPE Ezmeral Data Fabric. It unifies files, objects, databases, real-time and batch streams into a single data control plane. With data unified technical and business personas have self-service access to the information they need when they need it. Unified data means that management is simplified by converting business rules into automated global policies that secure, manage, and assure hybrid data complies to PII, locality, and government regulations.
With HPE Ezmeral Data Fabric you can replace approximately 10-12 unique applications with a single platform that ingests, stores, manages, indexes, and surfaces hybrid data types into a single source of truth. This saves costs because you don’t have to install, manage, and secure infrastructure dedicated to each data type or platform—not to mention all the associated software licenses. Native support for Kafka means real-time and batch streaming data can be ingested directly into HPE Ezmeral Data Fabric reducing those dedicated Hadoop or Kafka clusters required to pre-stage data before processing.
Built-in replication keeps data synchronized across geographically distributed data centers, multiple clouds, and edge environments. Let’s say you’re streaming from a cell tower or oil rig. Using a global policy, HPE Ezmeral Data Fabric simultaneously replicates this stream (up to six replicas) to global data centers or multiple clouds. With access to the freshest data, data engineers and scientists can leverage the HPE-supported ecosystem of open-source tools to use different analytic methods for data processing. Several customers have commented that direct data access and an ecosystem of tools has helped them reduce development time by up to 75%.
When you convert from traditional analytic solutions to HPE Ezmeral Data Fabric, you will be able to:
- Directly access the freshest data resulting in better business decisions
- Remove data silos and integrate highly available streaming technologies to deliver real-time insights and actions
- Respond in milliseconds with unique experiences that delight your customers
Get to know HPE Ezmeral Data Fabric better. Learn more at: www.hpe.com/datafabric.
Joann Starke
Hewlett Packard Enterprise
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[1],2,3 IDC FutureScape Report, October 2022
JoannStarke
Joann is an accomplished professional with a strong foundation in marketing and computer science. Her expertise spans the development and successful market introduction of AI, analytics, and cloud-based solutions. Currently, she serves as a subject matter expert for HPE Private Cloud AI. Joann holds a B.S. in both marketing and computer science.
