Increase the intelligence of your hybrid data

[JoannStarke]

Increase your data intelligence with HPE Ezmeral Data Fabric and BigID. Classify, catalog, and understand the who, what, and where of data across hybrid and multicloud platforms.

Companies that leverage business analytics, data management, and artificial intelligence (AI), outperform and deliver better outcomes than their counterparts.¹

But as rivers of data became oceans, locating the data that is trustworthy and reliable has increase in importance. The broad distribution of data across hybrid and multicloud environments has made it extremely difficult to direct access the datasets required for BI, AI, and data science initiatives slowing time to insights.

These challenges have become a threat to any organization looking to transform their business with analytics, AI, and ML due to a lack of scalability. 

What is data intelligence?

For years data and business users struggled to find the data they needed to complete their projects. This problem became acute as data collection and volumes exploded.

Data intelligence is a system designed to support human understanding by answering key questions around the who, what, where, and when of a given asset. It paints a picture that shows why folks might use it, educate users on the data’s reliability and its value. It provides insights on how the asset has been used in the past as well as how it might be used in the future.

In addition to understanding data, customers are also struggling with how to unlock value from data that is stored in multiple formats such as different databases, structured, unstructured, video, or neural network sensors. All this data is valuable for analytic processing, but as the volume of data grows, the cost and expense of building and maintaining separate infrastructures for each data type has become cumbersome.  

HPE Ezmeral Data Fabric

This solution simplifies hybrid analytics by unifying different data types and formats into a consistent data plane that is accessible to multiple use cases, workloads, and global teams. It simplifies hybrid analytics because it replaces ~10 unique products with a single solution that includes data management, security, data placement, tiering, and high availability all enforced by automated policies. It has an ecosystem of HPE supported open source tools and frameworks that sits on top of the data fabric enabling real-time processing at edge-based factories, store branches, or remote offices. Once processed, automated policies replicate insights or certain datasets to headquarters or centralized locations, according to your business rules, for deeper exploration, processing, or storing.

HPE Ezmeral Data Fabric solves the challenge of unlocking value across different data types. HPE’s partnership with BigID delivers data intelligence to the latest release of HPE Ezmeral Data Fabric.  BigID is available through the HPE GreenLake Marketplace.

Watch this video to learn more.

This is a significant addition to HPE’s hybrid data lake solution because every level of an organization is dependent on high-quality data to complete their daily tasks. But as data is shared or moved across different apps, it becomes distorted, changes shape, or loses business context. BigID’s data intelligence helps bring data back into focus.

The addition of BigID to HPE Ezmeral Data Fabric means that customers can classify, catalog, and understand the who, what, and where of their hybrid and multicloud deployments. Armed with this information data teams can easily pinpoint the exact datasets they need, identify compliance issues such as unprotected SharePoint sites, or better understand the lineage of data available for processing.

Increase productivity of data and business users with HPE Ezmeral Data Fabric and BigID.  Working together, your business benefits from consistent, high-quality data and intelligence that helps data and business analysts accelerate time to insights across hybrid and multicloud environments. In essence, your digital transformation initiatives can scale no matter where the location of your data.

Learn more at www.hpe.com/datafabric

Joann Starke
Hewlett Packard Enterprise

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[1] IDC FutureScape Worldwide Data & Content Technologies 2023 predictions, October 2022