Data Engineering Podcast

This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.

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17 September 2023

Building Linked Data Products With JSON-LD - E392

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A significant amount of time in data engineering is dedicated to building connections and semantic meaning around pieces of information. Linked data technologies provide a means of tightly coupling metadata with raw information. In this episode Brian Platz explains how JSON-LD can be used as a shared representation of linked data for building semantic data products.


  • Hello and welcome to the Data Engineering Podcast, the show about modern data management
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  • Your host is Tobias Macey and today I'm interviewing Brian Platz about using JSON-LD for building linked-data products


  • Introduction
  • How did you get involved in the area of data management?
  • Can you describe what the term "linked data product" means and some examples of when you might build one?
    • What is the overlap between knowledge graphs and "linked data products"?
  • What is JSON-LD?
    • What are the domains in which it is typically used?
    • How does it assist in developing linked data products?
  • what are the characteristics that distinguish a knowledge graph from
  • What are the layers/stages of applications and data that can/should incorporate JSON-LD as the representation for records and events?
    • What is the level of native support/compatibiliity that you see for JSON-LD in data systems?
  • What are the modeling exercises that are necessary to ensure useful and appropriate linkages of different records within and between products and organizations?
  • Can you describe the workflow for building autonomous linkages across data assets that are modelled as JSON-LD?
  • What are the most interesting, innovative, or unexpected ways that you have seen JSON-LD used for data workflows?
  • What are the most interesting, unexpected, or challenging lessons that you have learned while working on linked data products?
  • When is JSON-LD the wrong choice?
  • What are the future directions that you would like to see for JSON-LD and linked data in the data ecosystem?

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Parting Question

  • From your perspective, what is the biggest gap in the tooling or technology for data management today?

Closing Announcements

  • Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning.
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The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

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