Dale Rensing

Exploring Data Fabric and Containers in HPE DEVs new Munch & Learn monthly gatherings

January 28, 2021

munch learn feb 2021

HPE DEV Munch & Learn technical talks are designed to provide attendees with an opportunity to learn more about today’s most popular technologies. These free, 60-minute informative meetups are sponsored by the HPE DEV Community and provide the unique opportunity to connect with some of the industry’s leading technologists.

January’s inaugural talk on data fabric with Ted Dunning and Ellen Friedman

In the January 27th Munch & Learn session, over 160 technologists attended to listen to Ellen Friedman and Ted Dunning explore the impact of a unifying data fabric and how it works. Ellen moderated the session, starting with an invitation to make these informal meetups fun, interactive, and informative. She introduced Ted Dunning, HPE Ezmeral Data Fabric CTO, who started with a business-level look at three different use cases and then quickly moved to a deeper technical level to examine how data infrastructure played a role in each one.

Ted showed a variety of processes that are handled efficiently by the data platform rather than having to be coded over and over again into applications. The examples included:

  • Event stream replication from many edge sources to the core data center
  • How data infrastructure handles massive scale of data mirrored from edge to core in the case of autonomous car manufacture
  • How a unifying data infrastructure supports true multitenancy for a large customer

The data infrastructure used is the HPE Ezmeral Data Fabric, a software solution based on technology from the acquisition of MapR Technologies by HPE and now part of the HPE Ezmeral Software Portfolio. This ability to run very different applications – including AI and analytics, modern and legacy, containerized and non-containerized – together on the same data system is a central theme of their free, newly published O’Reilly ebook: AI and Analytics at Scale: Lessons from Real-World Production Systems.

During the talk, Ted acknowledged that people may be accepting certain trade-offs between scale, resilience, performance, flexibility, or cost that aren’t actually necessary. He pointed out that, when you release yourself from the limitations imposed by some data infrastructure technologies, you can avoid these tradeoffs, and then proceeded to dive into technical detail on how the HPE Ezmeral Data Fabric makes this possible.

ellen munch and learn 2

While listening to the session, attendees participated in polls, had the opportunity to ask questions. In keeping with the Munch and Learn theme several of the attendees had an opportunity to share pictures of their favorite “munchies” on the accompanying Slack channel.

February talk on containers with Tom Phelan and Nigel Poulton

During the next session, February 24th, Nigel Poulton hosted Tom Phelan, HPE Fellow and CTO of the HPE Ezmeral Runtime Enterprise, who discussed container architectures and how they can leverage the Kubernetes Container orchestrator to deploy and manage stateful, as well as microservice-based, applications.

As part of the discussion, Tom described how containers require less system resources than traditional virtual machine environments, allowing applications to be deployed more easily and run on different operating systems and hardware platforms. Tom also explained how the HPE Ezmeral Machine Learning Operations package helps support collaboration between data scientists.

To view what’s up for our next Munch & Learn session, check out our schedule.


Dale Rensing

HPE Developer launches its Munch & Learn technical talks

Jan 27, 2022
Ted Dunning & Ellen Friedman

3 ways a data fabric enables a data-first approach

Mar 15, 2022
Nicolas Perez

A Functional Approach to Logging in Apache Spark

Feb 5, 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

Getting Started with DataTaps in Kubernetes Pods

Jul 6, 2021
Carol McDonald

An Inside Look at the Components of a Recommendation Engine

Jan 22, 2021
Carol McDonald

Analyzing Flight Delays with Apache Spark GraphFrames and MapR Database

Dec 16, 2020
Nicolas Perez

Apache Spark Packages, from XML to JSON

Dec 11, 2020

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