ABOUT THIS PODCAST 🔗

Update frequency:
every 20 days
Average audio length:
47 minutes
Guest interviews
English
United States
11 episodes
since July 15, 2024
episodic

LATEST EPISODE 🔗

Join David and Tom as they chat about a plethora of industry key terms. From their expert perspectives, this episode covers technical terms that may have more arbitrary definitions in the industry. Terms like Ontology, Context, and more are covered!

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Search past episodes of Rhize Up.

PREVIOUS EPISODES

In this episode, join David and Jeroen as they chat about Transactional Data. Sequence diagrams, synchronous versus asynchronous messaging, applicable standards, schema validation, and more are all points of interest today. 
This week, David joins Leonard Smit from Flow Software, Nicholas Woolmer and Nicolas Hourcard, from Quest DB to talk all about time-series data. They discuss time-series databases, process historians and historian design, and strategies to ingest and store high-volume data
In this episode, we break down why it is critical to understand how data is organized and consumed. Different data structures are better for different types of analysis. And here's a hint, you are going to need something more than a data lake...
David, Geoff, and Andy discuss how the manufacturing data hub provides a refined model, vocabulary, and execution system for the full range of operations activities. Each use case builds on others.
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