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Workbook

Think Big, Start Small, Scale Fast: The Data Engineering Workbook 
10 steps to designing an industrial data architecture for scale

Abstract
With modern industrial facilities producing a terabyte or more of data every day, many manufacturers are finding that access alone does not make data usable. AI and ML technologies and real-time dashboards should be delivering significant productivity increases, but for many, the challenges of getting these applications the right data in the right format at the right time proves to be too resource and time intensive.  

To extract value from industrial data, it must be made fit for purpose with scalability in mind. This workbook serves as a practical, 10-step guide to help manufacturing and industrial leaders better understand and apply proven data engineering processes and technologies to make their data fit for purpose.  

Inside you will find:  
  • Detailed, 10-step guidance for your next project, beginning with goal alignment and gathering the right cross-functional stakeholders 
  • Short questionnaires for each step 
  • Best practices for ensuring secure connections, modeling data, and landing data in target systems 
  • A decision tree to help you select the right integration architecture for your business​
HighByte is an industrial software development company in Portland, Maine building solutions that address the data architecture and integration challenges created by Industry 4.0. We’ve developed the first DataOps solution purpose-built to meet the unique requirements of industrial assets, products, processes & systems at the Edge.
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info@highbyte.com
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+1 844.DATA.OPS
+1 844.328.2677 
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52 Alder Street
Portland, Maine 04101 USA
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​Copyright ©2023 HighByte, Inc. All rights reserved. 
  • INTELLIGENCE HUB
    • OVERVIEW
    • CONNECTIONS >
      • PI SYSTEM
    • CONDITIONS
    • MODELS
    • FLOWS
    • PIPELINES
    • UNIFIED NAMESPACE >
      • MQTT BROKER
      • UNS CLIENT
    • ENTERPRISE ADMINISTRATION
    • RELEASE NOTES
  • RESOURCES
    • ANALYST REPORTS >
      • BEST PRACTICES FOR LIFE SCIENCES 4.0
      • THE STATE OF DATAOPS
    • ARTICLES
    • BLOG
    • GUIDES >
      • THE DATA ENGINEERING WORKBOOK
      • DATA MODELING GUIDEBOOK
    • USE CASES >
      • ELECTRONIC BATCH REPORTING
      • FIRST-PASS YIELD
      • PREDICTIVE ASSET MAINTENANCE
      • OEM CLOUD SERVICES
    • WHITE PAPERS >
      • DATAOPS WHITE PAPER
      • STATE OF THE INDUSTRY
  • TRY & BUY
    • REQUEST A DEMO
    • TRIAL PROGRAM
    • PRICING
  • COMPANY
    • OUR TEAM
    • PARTNERS >
      • AWS
    • CAREERS
    • EVENTS
    • NEWS
  • CONTACT
  • LOG IN