Search

HPE Ezmeral Data Fabric

HPE Ezmeral Data Fabric centralizes different data types across on-premises, multiple clouds, and edge deployments into a single logical data store. It breaks down silos and stops the endless cycle of merging, remerging, and redeploying data silos into new silos.

HPE Ezmeral Data Fabric allows data analysts, engineers, and scientists to deliver real-time and predictive models organizations can trust. Built-in industry-standard APIs, languages, and protocols increase productivity by preserving existing access mechanisms without low-value refactoring.

Supports files, object, NoSQL databases, and streams

HPE Ezmeral Ecosystem Pack includes certified open-source tools and engines that integrate directly on top of the data fabric. It enables in-place analytics no matter where data is located and reduces time spent integrating and configuring open source tools.

API Documentation for app development.

Tutorials on GitHub

Munch & Learn

What's a data fabric and how does it work?

YouTube Videos

How to size a data fabric system

Practical Erasure Coding in a Data Fabric

Data Fabric File and Object Store Overview

To learn more about HPE Ezmeral Data Fabric File and Object Store, check out the HPE article here.

Free On-Demand Training

Learn for free with online courses that teach you how to build applications, secure, and administer HPE Ezmeral. Visit HPE Ezmeral Learn On-Demand to enroll.

  • Big Data Essentials.  Challenges of modernizing the IT landscape is covered in these courses on big data, open source tools, Apache Spark, Data Fabric, Database, Event Streams and more.
  • Artificial Intelligence & Machine Learning. Learn the basics of AI and ML, machine learning project planning, and preparing and implementing the ML pipeline.
  • Zero Trust & Data Security. Courses outlining emerging data security threats, SPIFFE-SPIRE, what zero trust architecture is, and technical details of HPE Ezmeral Data Fabric
  • Apache Spark & SQL Analytics. Intro courses covering Apache Spark 3 essentials, Spark and Kubernetes, Apache Drill, and SQL Analytics using Apache Drill.
  • Kubernetes and Stateful Applications. What applications do, how Kubernetes works, plus access an HPE Workshop On-demand covering HPE Ezmeral Runtime.
  • HPE Ezmeral Data Fabric. Technical overview courses on HPE Ezmeral Data Fabric architecture and implementation, database essentials, and event streams pub-sub messaging.

Workshops-on-Demand

Take advantage of our free, Jupyter-Notebook based Workshops-on-Demand available in the Hack Shack. These technical workshops provide you with an in-depth, hands-on learning experience where you can interact with and learn from the experts. Designed to fit your schedule, these workshops are available 24/7 – any time, from anywhere. HPE Ezmeral Data Fabric workshops are available today.

Any questions on Ezmeral Data Fabric?

Join the HPEDEV Slack Workspace and start a discussion in our #ezmeral-data-fabric channel.

Not a Slack user? You can also ask your questions in our Ezmeral Forum.

Related Blogs

Elias Alagna & Kam Amir

Deploying Cribl Stream Containers on HPE GreenLake for Private Cloud Enterprise

Jan 17, 2024
Raymond Yan

How to create a cold-tiered volume and use HPE Ezmeral Data Fabric Object Store as the remote target

Mar 6, 2023
Raymond Yan

Using MapReduce with an HPE Ezmeral Data Fabric database binary table

Nov 14, 2022
Ted Dunning & Ellen Friedman

3 ways a data fabric enables a data-first approach

Mar 15, 2022

HPE Developer Newsletter

Stay in the loop.

Sign up for the HPE Developer Newsletter or visit the Newsletter Archive to see past content.

By clicking on “Subscribe Now”, I agree to HPE sending me personalized email communication about HPE and select HPE-Partner products, services, offers and events. I understand that my email address will be used in accordance with HPE Privacy Statement. You may unsubscribe from receiving HPE and HPE-Partner news and offers at any time by clicking on the Unsubscribe button at the bottom of the newsletter.

For more information on how HPE manages, uses, and protects your personal data please refer to HPE Privacy Statement.