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
- Music Catalog: REST and GraphQL tutorial
- Smart Home: IoT tutorial
- Ezmeral Data Fabric for Predictive Maintenance
- Customer 360 View
- Application for Processing Stock Market Trade Data
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
Sridhar Reddy
File, objects, databases and streams – Oh my!
Mar 31, 2022Ted Dunning & Ellen Friedman
3 ways a data fabric enables a data-first approach
Mar 15, 2022Ian Downard
HPE Ezmeral Data Fabric for Predictive Maintenance
Feb 15, 2022Mathieu Dumoulin
Real-time Smart City Traffic Monitoring Using Microservices-based Streaming Architecture (Part 2)
Jan 27, 2022MapR Tutorials
Getting Started with Spark on MapR Sandbox
Dec 14, 2021Carol McDonald
Using Apache Spark DataFrames for Processing of Tabular Data
Dec 13, 2021
Ellen Friedman
How fine-grained data placement helps optimize application performance
Oct 22, 2021Carol McDonald
Fast data processing pipeline for predicting flight delays using Apache APIs: Kafka, Spark Streaming and Machine Learning (part 3)
Oct 11, 2021Carol McDonald
Fast data processing pipeline for predicting flight delays using Apache APIs: Kafka, Spark Streaming and Machine Learning (part 2)
Oct 11, 2021
Kiran Kumar Mavatoor
Accessing HPE Ezmeral Data Fabric Object Storage from Spring Boot S3 Micro Service deployed in K3s cluster
Sep 13, 2021
Cenz Wong
Data Analytics with PySpark using HPE Ezmeral Container Platform
Sep 7, 2021John Omernik
Using Docker Wrong: My Journey to a Better Container
Jul 13, 2021Joseph Blue
Comparing "To Kill a Mockingbird" to its Sequel with Apache Spark
Jul 13, 2021Cenz Wong
Getting Started with DataTaps in Kubernetes Pods
Jul 6, 2021
Don Wake
On-Premise Adventures: How to build an Apache Spark lab on Kubernetes
Jun 15, 2021
Prasad Singathi, Maikel Pereira
Similar Document Search using Apache Spark with TF-IDF
Jun 15, 2021Carol McDonald
Streaming ML pipeline for Sentiment Analysis using Apache APIs: Kafka, Spark and Drill - Part 2
Mar 31, 2021Martijn Kieboom
Kubernetes Tutorial part 2 of 3: How to Install and Deploy Applications at Scale on K8s
Mar 31, 2021HPE DEV
Boost Your Analytics Factory into Hyperdrive
Mar 9, 2021
Carol McDonald
How Big Data is Reducing Costs and Improving Outcomes in Health Care
Mar 9, 2021
Philippe de Cuzey
From Pig to Spark: An Easy Journey to Spark for Apache Pig Developers
Mar 9, 2021
Nicolas Perez
Spark Streaming and Twitter Sentiment Analysis
Mar 9, 2021
Carol McDonald
Spark Streaming with HBase
Feb 19, 2021Tugdual Grall
Getting Started with MapR Event Store
Feb 19, 2021Carol McDonald
Real-Time Streaming Data Pipelines with Apache APIs: Kafka, Spark Streaming, and HBase
Feb 19, 2021
Carol McDonald
How to Get Started with Spark Streaming and MapR Event Store Using the Kafka API
Feb 19, 2021Nicolas Perez
MapR Database Spark Connector with Secondary Indexes Support
Feb 19, 2021
Jim Scott
Using Python with Apache Spark
Feb 13, 2021Tugdual Grall
Getting Started with MapR Client Container
Feb 13, 2021Rachel Silver
Event-Driven Microservices on the MapR Data Platform
Feb 5, 2021Rachel Silver
Kubernetized Machine Learning and AI Using KubeFlow
Feb 5, 2021Rachel Silver
End-to-End Machine Learning Using Containerization
Feb 5, 2021Suzy Visvanathan
Containers, Kubernetes, and MapR: The Time is Now
Feb 5, 2021Mathieu Dumoulin
Kafka REST Proxy - Performance Tuning for MapR Event Store
Feb 5, 2021Nicolas Perez
A Functional Approach to Logging in Apache Spark
Feb 5, 2021Ranjit Lingaiah
How to Use Secondary Indexes in Spark With Open JSON Application Interface (OJAI)
Feb 5, 2021Tugdual Grall
Setting Up Spark Dynamic Allocation on MapR
Feb 5, 2021Nicolas Perez
How to Integrate Custom Data Sources Into Apache Spark
Jan 29, 2021Suzy Visvanathan
Containers vs. VMs: A 5-Minute Guide to Understanding Their Differences
Jan 29, 2021Ankur Desai
Kafka Connect and Kafka REST API on MapR: Streaming Just Became a Whole Lot Easier!
Jan 29, 2021Ankur Desai
Real-Time Event Streaming: What Are Your Options?
Jan 29, 2021Will Ochandarena
Scaling with Kafka – Common Challenges Solved
Jan 29, 2021Dale Rensing
Exploring Data Fabric and Containers in HPE DEVs new Munch & Learn monthly gatherings
Jan 28, 2021Carol McDonald
Top Trends: Machine Learning, Microservices, Containers, Kubernetes, Cloud to Edge. What are they and how do they fit together?
Jan 22, 2021Kirk Borne
Association Rule Mining – Not Your Typical Data Science Algorithm
Jan 22, 2021Carol McDonald
An Inside Look at the Components of a Recommendation Engine
Jan 22, 2021Ellen Friedman
Making AI a Reality
Jan 15, 2021Carol McDonald
Streaming Data Pipeline to Transform, Store and Explore Healthcare Dataset With Apache Kafka API, Apache Spark, Apache Drill, JSON and MapR Database
Jan 14, 2021Ian Downard
Predicting Forest Fires with Spark Machine Learning
Jan 14, 2021Nicolas Perez
Spark Custom Streaming Sources
Jan 14, 2021Ronald Van Loon
Journey Science in Telecom: Take Customer Experience to the Next Level
Jan 14, 2021Michele Nemschoff
Architecting the World’s Largest Biometric Identity System: The Aadhaar Experience
Jan 7, 2021Nicolas Perez
Apache Spark as a Distributed SQL Engine
Jan 7, 2021Michael Farnbach
Best Practices on Migrating from a Data Warehouse to a Big Data Platform
Dec 16, 2020Jim Scott
Cloud vs. On-Premises – What Are the Best Options for Deploying Microservices with Containers?
Dec 16, 2020Nicolas Perez
Spark Data Source API: Extending Our Spark SQL Query Engine
Dec 16, 2020Carol McDonald
Analyzing Flight Delays with Apache Spark GraphFrames and MapR Database
Dec 16, 2020Nicolas Perez
Apache Spark Packages, from XML to JSON
Dec 11, 2020Saira Kennedy
Types of Machine Learning – Part #2 in the Intro to AI/ML Series
Dec 9, 2020Carol McDonald
Apache Spark Machine Learning Tutorial
Nov 25, 2020Carol McDonald
Demystifying AI, Machine Learning and Deep Learning
Nov 25, 2020Suzy Visvanathan
Best Practices for Migrating Your Apps to Containers and Kubernetes
Nov 25, 2020Nitin Bandugula
The 5-Minute Guide to Understanding the Significance of Apache Spark
Nov 25, 2020Carol McDonald
Event Driven Microservices Architecture Patterns and Examples
Nov 19, 2020Carol McDonald
How Spark Runs Your Applications
Nov 18, 2020Carol McDonald
Real Time Credit Card Fraud Detection with Apache Spark and Event Streaming
Nov 18, 2020Saira Kennedy
Artificial Intelligence and Machine Learning: What Are They and Why Are They Important?
Nov 12, 2020Mathieu Dumoulin
Performance Tuning of an Apache Kafka/Spark Streaming System - Telecom Case Study
Nov 12, 2020Carol McDonald
Kubernetes, Kafka Event Sourcing Architecture Patterns and Use Case Examples
Nov 11, 2020Ian Downard
Kafka vs. MapR Event Store: Why MapR?
Nov 11, 2020Mathieu Dumoulin
Configure Jupyter Notebook for Spark 2.1.0 and Python
Nov 5, 2020Mathieu Dumoulin
Performance Tuning of an Apache Kafka/Spark Streaming System
Nov 5, 2020Karen Whipple
Data Fabric: The Future of Data Management
Nov 5, 2020Carol McDonald
Big Data Opportunities for Telecommunications
Nov 5, 2020Suresh Ollala
MapR, Kubernetes, Spark and Drill: A Two-Part Guide to Accelerating Your AI and Analytics Workloads
Nov 3, 2020Mathieu Dumoulin
Better Complex Event Processing at Scale Using a Microservices-based Streaming Architecture (Part 1)
Nov 3, 2020Jimit Shah
Provisioning Secure Access Controls in MapR Database
Nov 2, 2020Martijn Kieboom
Kubernetes Tutorial: How to Install and Deploy Applications at Scale on K8s - Part 1 of 3
Nov 2, 2020Carol McDonald
Streaming Machine learning pipeline for Sentiment Analysis using Apache APIs: Kafka, Spark and Drill - Part 1
Oct 28, 2020Carol McDonald
Fast data processing pipeline for predicting flight delays using Apache APIs: Kafka, Spark Streaming and Machine Learning (part 1)
Oct 21, 2020Terry He
How to Use a Table Load Tool to Batch Puts into HBase/MapR Database
Oct 15, 2020Ian Downard
How to Persist Kafka Data as JSON in NoSQL Storage Using MapR Event Store and MapR Database
Sep 25, 2020Prashant Rathi
How to Build Stanzas Using MapR Installer for Easy and Efficient Provisioning
Sep 19, 2020Magnus Pierre
CRUD with the New Golang Client for MapR Database
Sep 18, 2020Suzy Visvanathan
Containers: Best Practices for Running in Production
Sep 16, 2020Carol McDonald
Datasets, DataFrames, and Spark SQL for Processing of Tabular Data
Aug 19, 2020Nicolas Perez
How to Log in Apache Spark
Aug 19, 2020Suzanne Ferry
Kubernetes Application Containers: Managing Containers and Cluster Resources
Jul 10, 2020Carol McDonald
Tips and Best Practices to Take Advantage of Spark 2.x
Jul 8, 2020Carol McDonald
Data Modeling Guidelines for NoSQL JSON Document Databases
Jul 8, 2020Carol McDonald
Spark 101: What Is It, What It Does, and Why It Matters
Jul 3, 2020Prashant Sachdeva