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#dataarchitecture — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #dataarchitecture, aggregated by home.social.

  1. Audits in the PET industry: A missed opportunity? 🔎

    Many see audits as a chore. But structured product data can do more:
    It creates transparency, speeds up processes and enables innovation.

    This is becoming increasingly important, particularly in the packaging industry.

    Read our new article 'From audit to operational innovation'
    👉🏽 t1p.de/xik76

    #PETnology #PETIndustry #ProductData #DigitalSovereignty #Pimcore #DataArchitecture #ProductInformationManagement #PIM

  2. Innovation isn't always about building something entirely new. Sometimes, it’s about opening a closed door. 🔍

    Mobile backups have been treated like forbidden system files for too long. We designed #Keepita to give you back the keys to your own data—clean, accessible, and structured.

    Your data. Your infrastructure.
    Explore the tool: keepita.com/

    #Keepita #DataArchitecture #SoftwareEngineering #DataSovereignty #PrivacyByDesign #OpenSource #FOSS #TechTransparency #BuildInPublic

  3. Innovation isn't always about building something entirely new. Sometimes, it’s about opening a closed door. 🔍

    Mobile backups have been treated like forbidden system files for too long. We designed #Keepita to give you back the keys to your own data—clean, accessible, and structured.

    Your data. Your infrastructure.
    Explore the tool: keepita.com/

    #Keepita #DataArchitecture #SoftwareEngineering #DataSovereignty #PrivacyByDesign #OpenSource #FOSS #TechTransparency #BuildInPublic

  4. Datos de Forma Deliberada: Mejores Prácticas para EDW

    The article discusses strategies for expanding subject areas in enterprise data warehousing, weighing proactive pre-emption against reactive back-filling. It advocates a balanced approach to governance that allows analysts some flexibility while preventing scope creep. By combining both methods deliberately, organisations can enhance data quality, governance, and responsiveness to business needs.

    goodstrat.com/2026/03/24/datos

  5. Datos de Forma Deliberada: Mejores Prácticas para EDW

    The article discusses strategies for expanding subject areas in enterprise data warehousing, weighing proactive pre-emption against reactive back-filling. It advocates a balanced approach to governance that allows analysts some flexibility while preventing scope creep. By combining both methods deliberately, organisations can enhance data quality, governance, and responsiveness to business needs.

    goodstrat.com/2026/03/24/datos

  6. Datos de Forma Deliberada: Mejores Prácticas para EDW

    The article discusses strategies for expanding subject areas in enterprise data warehousing, weighing proactive pre-emption against reactive back-filling. It advocates a balanced approach to governance that allows analysts some flexibility while preventing scope creep. By combining both methods deliberately, organisations can enhance data quality, governance, and responsiveness to business needs.

    goodstrat.com/2026/03/24/datos

  7. Datos de Forma Deliberada: Mejores Prácticas para EDW

    The article discusses strategies for expanding subject areas in enterprise data warehousing, weighing proactive pre-emption against reactive back-filling. It advocates a balanced approach to governance that allows analysts some flexibility while preventing scope creep. By combining both methods deliberately, organisations can enhance data quality, governance, and responsiveness to business needs.

    goodstrat.com/2026/03/24/datos

  8. Datos de Forma Deliberada: Mejores Prácticas para EDW

    The article discusses strategies for expanding subject areas in enterprise data warehousing, weighing proactive pre-emption against reactive back-filling. It advocates a balanced approach to governance that allows analysts some flexibility while preventing scope creep. By combining both methods deliberately, organisations can enhance data quality, governance, and responsiveness to business needs.

    goodstrat.com/2026/03/24/datos

  9. Data sovereignty means more than just data availability 🔐

    It means
    • Control over the data model
    • Integration across systems
    • Transparency throughout the product lifecycle

    Only then can true digital sovereignty be achieved. We’ve summarised here why this is particularly relevant for PET manufacturers.

    👉 Read our article "Digital sovereignty in the PET industry” t1p.de/irvh1

    #PETnology #PETIndustry #ProductData #DigitalSovereignty #Pimcore #DataArchitecture #ProductInformationManagement #PIM

  10. Digital sovereignty isn’t just a buzzword ⚡️

    Digital sovereignty often sounds like a political issue. For manufacturers in the PET industry, however, it’s a very practical question:

    • Who controls my product data?
    • Who can analyse it?
    • Who decides on its structure?

    This question is becoming increasingly important, particularly when it comes to sustainability data. We’ve looked at why data sovereignty is becoming a competitive issue.

    👉 Read our article "Digital sovereignty in the PET industry” t1p.de/irvh1

    #PETnology #PETIndustry #ProductData #DigitalSovereignty #Pimcore #DataArchitecture #ProductInformationManagement #PIM

  11. Digital sovereignty in the PET industry 🤖
    Thinking about processes, data and systems as a whole

    Many companies believe that all they need is the right software. However, data problems are rarely purely software-related. They are architectural problems. 🛠️

    True data quality can only be achieved when processes and systems are considered together. This is why we prefer to talk about data architecture rather than tools. 📊

    👉 Read our new article "Digital sovereignty in the PET industry” t1p.de/irvh1

    #PETnology #PETIndustry #ProductData #DigitalSovereignty #Pimcore #DataArchitecture #ProductInformationManagement #PIM

  12. What does data DNA really mean? 🧬

    Many people talk about a ‘single source of truth’. But in practice, it’s about more than that. True data DNA means:

    • a consistent data model.
    • clear responsibilities.
    • integrated product information.
    • data under your own control.

    This is becoming increasingly important, particularly in the PET industry. Why? We explain this in our latest article.

    👉 Link to the article t1p.de/tchuo

    #PETnology #PETIndustry #ProductData #DigitalSovereignty #Pimcore #DataArchitecture #ProductInformationManagement #PIM

  13. PET-Verpackungen: Wie Excel-Listen Innovation verhindern 📋

    In der Verpackungsindustrie arbeiten viele Unternehmen noch mit einer Mischung aus:

    • ERP
    • Excel
    • Produktdatenbanken
    • Dokumentenablagen

    Das funktioniert – bis Variantenvielfalt, Nachhaltigkeitsnachweise und internationale Märkte hinzukommen. Dann entsteht schnell ein Datenproblem durch einen Systemmix. Und Innovation wird langsamer.

    Warum die PET-Industrie ihre Datenarchitektur neu denken muss, haben wir hier aufgeschrieben. 🔗 t1p.de/r12zr

    #PETnology #PETIndustr #Produktdaten #DigitaleSouveränität #Pimcore #DataArchitecture #ProductInformationManagement #PIM

  14. A firewall is not enough. The major breach we analyzed was no due to a bad network but a broken philosophy. The lack of network segmentation allowed a single vulnerability to cascade into a devastating systemic failure. Learn how a smarter data architecture could have prevented it.

    #DataArchitecture #NetworkSegmentation #SiloedSystems #DataGovernance #DataSecurity #InfoSec #Cybersecurity #BusinessStrategy #ShaolinDataScience

  15. AI won’t fix your data.

    At PETnology 2026 (10–11 June, Lake Zurich), we’re addressing the real issue: data control.

    This is something that most PET manufacturers struggle with.

    • Disconnected systems
    • inconsistent product data
    • limited scalability

    We'll also explain why data architecture is the real game changer.

    💡 No clean data → no scalable AI.

    Learn more about our session 🔗 t1p.de/58bll

    #PETnology #PETIndustry #DataArchitecture #DigitalSovereignty #ProductData #Pimcore #DigitalTransformation #AI #Manufacturing #Industry40

  16. We’ve been updating a number of our core technology projects including our Data Publishing Platform, our Agora Data Catalog, Measurement Store, and Concept Store and other reference data management tools. Looking for connected data technology to support your data architecture then we’d love to talk.

    www.epimorphics.com

    #FAIRdata #DataSolutions #DataDriven #LinkedData #DataPublishingPlatform, #Agora #DataCatalog #MeasurementStore #ConceptStore #ConnectedData #DataArchitecture

  17. We’ve been updating a number of our core technology projects including our Data Publishing Platform, our Agora Data Catalog, our Agora Measurement Store and other Reference Data Management tools. Looking for Connected Data technology to support your Data Architecture then we’d love to talk.
    epimorphics.com

    #DataPublishingPlatform, #Agora #DataCatalog, #MeasurementStore, #Reference #DataManagement, #ConnectedData, #DataArchitecture, #FAIRdata #DataSolutions #DataDriven #LinkedData

  18. We’ve updated a number of our core products including #DataPlatform, Agora #DataCatalog, #MeasurementStore, & #ConceptStore + other #reference #DataManagement tools. Looking for #ConnectedData tech to support your #DataArchitecture then we’d love to talk. www.epimorphics.com

  19. We assist organizations in developing a #DataStrategy & designing #DataArchitecture to drive innovation. Our #DataEngineering experts provide consultancy to IT teams, service companies & others to help unlock the full potential of their data www.epimorphics.com/consultancy #ConnectedData

  20. We assist organizations in developing a #DataStrategy & designing #DataArchitecture to drive innovation. Our #DataEngineering experts provide consultancy to IT teams, service companies & others to help unlock the full potential of their data www.epimorphics.com/consultancy #ConnectedData

  21. My new post analyzes Formula 1 telemetry 🏎️ using Oracle Converged Database with 6 workloads: ✅ Relational ✅ JSON ✅ Time Series ✅ Spatial ✅ Graph ✅ Vector

    Full breakdown & code: buckenhofer.com/2026/01/one-da

    #DataEngineering #Oracle #SQL #F1 #DataArchitecture #ConvergedDatabase

  22. What happens when a conflict cannot be resolved in a distributed database system, such as when there's network or hardware failures?

    Here, Paul Rothrock discusses how pgEdge handles duplicate or missing primary keys, and missed DDL statements.

    Curious to know more about the snowflake sequences extension mentioned in the video? Find it on GitHub: github.com/pgEdge/snowflake

    Find the full video on YouTube: youtu.be/prkMkG0SOJE

    #programming #postgres #postgresql #dataarchitecture #software

  23. 🚀 Introducing the latest in tech gymnastics: the "Frozen DuckLakes" 🦆✨—where you can build a "high-performance" data lake with no moving parts, except for all the parts that need to move. 🤔 Apparently, Mark Harrison has found a way to freeze time and logic to make #serverless data access *magically* complex. 🧊🔮
    ducklake.select/2025/10/24/fro #techinnovation #dataengineering #computing #dataarchitecture #magictech #HackerNews #ngated

  24. 🚀 Diving into databases? Check out the difference between SQL's fixed structure and NoSQL's flexible vibe. For your hosting needs, go with xTom! #DataArchitecture #HostingMadeEasy #xTom xt.om/PKFt

  25. Someone recently asked me about the difference between network segmentation and data segmentation after I mentioned them in a post. Both are important. Sometimes you use one method, sometimes the other, and sometimes both. And then, karma. A perfect example of data segmentation appeared on my screen a day or two later, and now I’ll share it with you.

    Here’s an example of data segmentation, possibly without network segmentation. See accompanying picture.

    I have multiple websites with the same hosting company. The hosting company is offering me the option of merging all of my websites under one login. That would be convenient, but it’s less secure.

    At the data level, a cybercriminal must authenticate on each of the websites separately, with separate 2FA. At the network level, I have no way of knowing if the web hosting company has segmented the infrastructure, and to what degree. For some companies, detailed knowledge of the hosting company’s physical architecture is essential to good security, but for me it doesn’t matter, since I have zero confidential information stored on, or accessible from, the web servers. The worst thing a cybercriminal can do to my websites is defacement or knocking them offline.

    THE LESSON
    As part of your risk assessment, consider both network segmentation and data segmentation. Everything that can be accessed from the same authentication credentials is in the same data segment. The most common weakness I uncover is in granting a single Administrator account too much access.

    #CallMeIfYouNeedMe #FIFONetworks

    #cybersecurity #NetworkArchitecture #DataArchitecture

  26. Drawing attention to just one good quote in the article: “And it also taught many of them the importance of segmenting their networks as much as possible to contain possible damage from malware infection.”

    Sadly, there’s still a long ways to go before all organizations understand the importance of not only network segmentation, but also data segmentation.

    About a year ago I was at a state government industry forum (I won’t name the state) where they boasted about their ambitious goal of moving everything to the cloud and centralizing all departments’ data. In one of the breakout sessions during the Q&A period, I stood up and asked, “How are you planning to address the security risks you’re creating by total centralization?” The person on the panel who took my question said that one system they could control completely was more secure than ten or twenty systems that might have varying degrees of security. I refrained from telling them that they just admitted they sucked at project management.

    #CallMeIfYouNeedMe #FIFONetworks

    #cybersecurity #DataArchitecture #DataClassification

    linkedin.com/pulse/notpetyas-8