DZone
Big Data Zone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
  • Refcardz
  • Trend Reports
  • Webinars
  • Zones
  • |
    • Agile
    • AI
    • Big Data
    • Cloud
    • Database
    • DevOps
    • Integration
    • IoT
    • Java
    • Microservices
    • Open Source
    • Performance
    • Security
    • Web Dev
DZone > Big Data Zone > Portfolio Architecture Examples: Data Engineering Collection

Portfolio Architecture Examples: Data Engineering Collection

In this latest post about the Red Hat Portfolio Architectures, learn more about the featured collection of data engineering architectures.

Eric D.  Schabell user avatar by
Eric D. Schabell
CORE ·
Jun. 07, 22 · Big Data Zone · Tutorial
Like (3)
Save
Tweet
5.54K Views

Join the DZone community and get the full member experience.

Join For Free

This article is a continuation of a series of posts about our project named Portfolio Architectures. The previous post, Portfolio Architecture Examples: Healthcare Collection, begins with a project overview, introduction, and examples of tooling and workshops available for the project.  You may want to refer back to that post to gain insight into the background of Portfolio architecture before reading further. 

Data Engineering Collection

The collection featured today is centered around architectures leveraging data engineering concepts and tooling. There are currently eight architectures in this collection and we'll provide a short overview of each, leaving the in-depth exploration as an exercise for the reader.

Data engineering collection
Figure 1: Data engineering architecture collection
In each of these architecture overviews, you'll find a table of contents outlining the technologies used, several example schematic diagrams with descriptions, and a link in the last section to open the diagrams directly into the online tooling in your browser.

Cloudlets at Edge

This architecture covers the use case of providing a consistent infrastructure experience from cloud to edge and enabling modern containerized applications at the edge.

(Note: This project is a new architecture and is currently in progress, so I am sharing one of the schematic architecture diagrams and you can monitor this project for updates as it progresses to completion.)

Cloud to edge

This use case is bringing cloud-like capabilities to the edge locations.

Data Center to Edge

This architecture covers the use case around the data center to the edge where the energy (utility) infrastructure companies operate across a vast geographical area that connects the upstream drilling operations with downstream fuel processing and delivery to customers. These companies need to monitor the condition of pipelines and other infrastructure for operational safety and optimization.Data center to edge

The use case is bringing computing closer to the edge by monitoring for potential issues with gas pipelines (edge).

Edge Manufacturing Efficiency

The manufacturing industry has consistently used technology to fuel innovation, production optimization, and operations. Now, with the combination of edge computing and AI/ML, manufacturers can benefit from bringing processing power closer to data. This helps actions be taken faster on things like errors and predictive maintenance.

Edge Manufacturing Efficiency Introduction

The use case is for boosting manufacturing efficiency and product quality with artificial intelligence and machine learning out to the edge.

Edge Medical Diagnosis

This architecture covers edge medical diagnosis in the healthcare industry. It Accelerates medical diagnosis using condition detection in medical imagery with AI/ML at medical facilities.

Edge Medical Diagnosis Introduction

The use case is accelerating medical diagnosis using condition detection in medical imagery with AI/ML at medical facilities.

Intelligent Data as a Service (iDaaS)

Intelligent DaaS (Data as a Service) is about building and delivery of systems and platforms in a secure and scalable manner while driving data needs for moving towards consumerization in healthcare. Feel free to explore this portfolio-architecture by clicking on the diagram below.

iDaaS Introduction

The use case is Intelligent Data as a Service (iDaaS) is about building and delivery of systems and platforms in a secure and scalable manner while driving data needs for moving towards consumerization in healthcare.

Payments

An offering of (near) real-time payments lets businesses, consumers, and even governments send and accept funds that provide both available to the recipient and instant confirmation to the sender. Enabling real-time - or at least faster - payments that improve the speed of online payment experiences to customers has the potential to give banks a greater opportunity to win, serve, and retain their customers. By building solutions that capture real-time payment business, banks also can drive higher payment volumes, ideally at lower costs as well as engage new customer segments.

Payments Introduction

The use case examines financial institutions enabling customers with fast, easy to use, and safe payment services available anytime, anywhere.

Retail Data Framework

Retail is the process of selling consumer goods or services to customers through multiple channels of distribution to earn a profit. A data framework refers to the process of managing enterprise retail data. The framework or system sets the guidelines and rules of engagement for business and management activities, especially those that deal with or result in the creation and manipulation of data.

Retail Data Framework Introduction

The use case is creating a framework for access to retail data from customers, stock, stores, and staff across multiple internal teams.

SCADA Interface Modernisation

This Portfolio Architecture targets energy providers in North America that need to be compliant with NERC regulations and in order to achieve this they decide to modernize the interfaces between their business applications and their SCADA systems also for better consumption of information that can be used in combination with AI/ML and decision management tools to better address customer needs.

SCADA Interface Modernization

The use case is providing interfaces with SCADA systems that are compliant with NERC regulations, creating different layers of API gateways to protect business services depending on the network zones.

Additional Portfolio Architecture Solutions

If you are interested in more architecture solutions like these, feel free to export the Portfolio Architecture Examples repository. More architecture collections include:

  • Application development
  • Automation
  • Edge
  • Finance
  • Healthcare
  • Infrastructure
  • Telco
Architecture Engineering Use case Data (computing)

Published at DZone with permission of Eric D. Schabell, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

Popular on DZone

  • C++ Creator Bjarne Stroustrup Interview
  • What Emerging Technologies Make Data Centers More Energy Efficient?
  • Troubleshooting HTTP 502 Bad Gateway in AWS EBS
  • What Is High Cardinality?

Comments

Big Data Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • MVB Program
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 600 Park Offices Drive
  • Suite 300
  • Durham, NC 27709
  • support@dzone.com
  • +1 (919) 678-0300

Let's be friends:

DZone.com is powered by 

AnswerHub logo