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Episode 94 - Advanced Topic: Synthetic Data episode artwork

EPISODE · Apr 1, 2026 · 7 MIN

Episode 94 - Advanced Topic: Synthetic Data

from 100 days of data · host 100 days of data

In Episode 17 of '100 Days of Data,' Jonas and Amy explore the vital role of the JavaScript function JSON.stringify() in making data portable and interoperable across systems. They explain how this function converts complex data objects into readable JSON strings, enabling smooth data exchange in diverse domains like automotive manufacturing and healthcare. Beyond its technical basics, the hosts discuss JSON.stringify()’s impact on integration speed, data privacy customization, and overcoming serialization challenges such as circular references. By highlighting how JSON.stringify() supports seamless communication between legacy systems, cloud services, and AI tools, this episode unpacks a foundational concept behind today’s data-driven innovations.

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In Episode 17 of '100 Days of Data,' Jonas and Amy explore the vital role of the JavaScript function JSON.stringify() in making data portable and interoperable across systems. They explain how this function converts complex data objects into readable JSON strings, enabling smooth data exchange in diverse domains like automotive manufacturing and healthcare. Beyond its technical basics, the hosts discuss JSON.stringify()’s impact on integration speed, data privacy customization, and overcoming...

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Episode 94 - Advanced Topic: Synthetic Data

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How long is this episode of 100 days of data?

This episode is 7 minutes long.

When was this 100 days of data episode published?

This episode was published on April 1, 2026.

What is this episode about?

In Episode 17 of '100 Days of Data,' Jonas and Amy explore the vital role of the JavaScript function JSON.stringify() in making data portable and interoperable across systems. They explain how this function converts complex data objects into...

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

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