• Read the full blog post here

• Watch this video to learn how together HPE Ezmeral Data Fabric and BigID increase the confidence and success of business decisions with a deeper understanding of the who, what, and where of data.

Accelerate time to insight by unifying data across multiple sources, enrich it with data intelligence then process it using a wide set of analytic tools across hybrid environments.

Businesses collect massive amount of data across multiple channels. When combined with analytics, this data can deliver a deep understanding about your business, your customers, and potential new market opportunities.

But there’s a problem.

Data looks different depending on its source. In most cases, traditional analytic solutions only support a subset of data types, which means you could be missing out on opportunities to improve the business.

It’s no wonder that data fabric technology has become popular. At a very basic level, data fabric technology unifies data across all sources and then processes it to accelerate time to insights.

At a very basic level, that’s the core functionality of HPE Ezmeral Data Fabric but there’s much more to this solution.

By unifying different data types and platforms into a logical data backbone, HPE Ezmeral Data Fabric simplifies hybrid analytics by making a consistent data source accessible to multiple use cases, workloads, and global teams. It’s a single solution that comes with built-in 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 layer directly on top of the fabric so you can process data in real-time — right where it was created.

In essence, this single solution can replace eight to 10 unique solutions required to build, configure, and manage large analytic systems. It can also lower costs by reducing dependence on specialized skills that manually configure every app, user, and workload into your unique systems.

The latest release of HPE Ezmeral Data Fabric builds on top of this foundation with new functionality that enriches data availability across a wide set of analytic methods.

Data intelligence

The first is data intelligence, which delivers quick discovery and understanding of your data, what it means to the business, and who’s accountable for it. That’s important because every level of the organization is now dependent on high-quality data to do their daily tasks. But as data is shared or moved across different apps, it becomes distorted, changes shape, and loses business context. Data intelligence brings data back into focus.

Working together, HPE Ezmeral and BigID are delivering the intelligence your business needs by classifying, cataloging, and understanding data’s who, what, and where across hybrid and multicloud environments. Armed with this information, data teams can easily pinpoint the exact datasets they need or identify compliance issues, such as unprotected SharePoint sites.

New entries into the HPE Ezmeral ecosystem

HPE already provides an ecosystem of curated and supported open-source tools such as Apache Spark, Hive and Drill. This release adds three new entrants.

Apache NiFi. Enables customers to merge data from sources not currently managed by HPE Ezmeral Data Fabric. For example, you have Oracle or Microsoft data stored on mainframes. Pulling this data into the data fabric and merging it with files, objects, NoSQL databases and streams provides a more robust source of data for engineers and scientists to use.

Apache Ranger. Security for HBASE and Hive systems has always been a concern. Apache Ranger fixes this by enabling fine-grained authorization and access controls through a central user interface or REST APIs.

Apache Kafka. Native support for Apache Kafka now enables messages and steams to come straight into the data fabric without any pre-ETL processing. Reducing this step reduces costs by eliminating dedicated servers to process Cloudera and Confluent streams. But the real value comes from the geo-distribution capabilities built into HPE Ezmeral Data Fabric.

Let’s say you’re an oil manufacturer that is streaming data from sensors from your west coast rigs into a mobile edge location. With HPE Ezmeral Data Fabric, you can collect and analyze the data right there at the edge while simultaneously replicating the streams into a regional data center or the cloud. One data stream that can be analyzed in different ways across different environments.

Don’t let the inability to unify and analyze different types slow down your digital transformation initiative.

HPE Ezmeral Data Fabric was designed to solve this problem with corporate-wide access to data from new and existing systems. It automatically scales to thousands of nodes and trillions of records without the complexity and cost of traditional analytic architectures. And reduces costs with an ecosystem of open source tools supported by HPE to simplify the headaches associated with deploying development models into production.

Learn more: www.hpe.com/datafabric

Joann Starke Hewlett Packard Enterprise