HPE Ezmeral: Uncut

Nice to meet you, data: What’s your namespace?

Large volumes of data are spread globally across distributed sources. A global namespace simplifies access to data no matter where it is located.  

HPE-DataFabric-Global-Namespace.pngWhat is one of the foremost challenges large enterprises face collecting massive amounts of data?  Control. That’s because it’s almost impossible to sustain a strategy where one repository becomes the center of the universe. This is especially true when an organization has many divisions operating internationally with data in a variety of forms. Any attempt to make all the data live in one place inevitably fails or is never completed. 

However, companies can make this data universally available to anyone, anywhere, at any time by using a large, distributed data fabric with a global namespace. HPE Ezmeral Data Fabric, formerly MapR, offers this unique capability. 

A data fabric with a global namespace allows organizations to have one master data repository of all named data — no matter where it resides. And it allows multiple apps and teams to securely access the same datasets.  

Stitching it all together

Companies are entering the second wave of digital transformation. The first wave was all about accelerating app development by moving to the cloud. The second wave is focused on harnessing and mining data across disparate silos in a unified manner — whether the data is on-premises, on the edge, on the cloud, or in a data warehouse or data lake.  

Yet, many companies are still using legacy technology that no longer fits a world with the amount of data now available. Additionally, to get value with these systems, data must be moved across multiple systems before any analysis can take place — which can take hours or even days. 

The enterprise world has undergone a massive change in how data is stored and accessed since these legacy systems were created. Companies formerly relied on data warehouses tailored to structured data architectures. Today, companies need to access a large and diverse set of data and deliver customer experiences in real time to keep pace with the competitive nature of business. A data fabric makes this type of speed possible.

The power of the data fabric

A data fabric is the foundation for a coherent and powerful data strategy. It allows applications to ingest diverse data and then store and transform it into a single data fabric store, providing a single source of truth for global teams to leverage across multiple use cases.  

With a data fabric, businesses have a more flexible structure that can store a wide variety of data — from unstructured to highly structured. This helps companies with data centers around the world ensure all their data is telling the same story and is coherent. In many applications and use cases, data access can be simple, and a single database works fine. But with more global applications and businesses, some data is often relevant for individual geographical areas or countries — in part due to compliance issues. 

With a data fabric, companies can have separate fabrics for the data in the U.S., England, and Germany, for example. The data fabric ingests data from disparate sources, transforms it and then stores it into a single data store that can be accessed for multiple use cases by multiple users.

But it’s not enough to stop there. The ability to logically view globally distributed data regardless of its physical location is an essential enabler to extracting its full value — and that happens with a global namespace. 

Why global namespaces are necessary for today’s data

A global namespace provides the following unique capabilities that help enterprises succeed in the face of today’s modern data management challenges. 

·       Delivers a consolidated view of data, even if it resides on different clusters or servers. 

·       Aggregates file information into a unified structure across any deployment platform, thereby simplifies design of large systems and allows multiple apps and users to access the same data sets. 

·       Allows end users and apps to access remote data as if it was local, thereby simplifying data management. 

HPE-Ezmeral-DataFabric-Science.jpgA global namespace is the ultimate productivity booster for companies. For example, a pharmaceutical company may have a team of global scientists working on a vaccine, and they all need to be able to share data, examine test results, and adjust the vaccine to do more testing. A global namespace allows global scientists to access the same data no matter where they are located.  

This is also valuable for IoT use cases. For example, automobile manufacturers working on autonomous driving have a fleet of cars in the field generating many petabytes of data per day. At day's end, each car comes into a remote site to download their test results. If you have many cars in a particular geographic area, downloading petabytes to a central repository across the pond isn’t practical. A global namespace makes it possible for data scientists in Germany to easily access test results in San Francisco, perform in-place analysis, and submit test adjustments for each vehicle to download when they reconnect the next day.  


It’s not just about making the data available but allowing the data science team to access information in near real time, which increases their productivity.

HPE Ezmeral Data Fabric is uniquely powerful

HPE Ezmeral recognizes the importance of data in today’s digital world and that it’s imperative to understand customers better than ever before. If a company fails at this, it’s likely their competitors will outpace them. HPE Ezmeral gives companies the tools to take massive amounts of data and manage it in a way that using appliances or additional storage devices just can’t do cost-effectively. With the HPE Ezmeral Data Fabric, companies have a single control plane to manage all global data from which they can examine and analyze, while also having security and compliance built in through uniform data policies. HPE Ezmeral is that necessary foundation upon which other tools can be added and built to perform advanced, sophisticated data analytics.

To learn more, read the technical brief, HPE Data Fabric Global Namespace.

JoAnn Starke

Hewlett Packard Enterprise



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About the Author


Joann’s domain knowledge and technical expertise have contributed to the development and marketing of cloud, analytics, and automation solutions. She holds a B.S. in marketing and computer science. Currently she is the subject matter expert for HPE Ezmeral Data Fabric and HPE Ezmeral Unified Analytics.