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Optimizing Real-time Digital Twins

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For digital twins to be truly useful, they must be able to drive actions – for example, issue alerts or power down equipment – the instant an issue emerges, perhaps even beforehand.

Understanding Batch vs. Streaming Data

Batch verses Stream Image

In this special guest feature, Rob Malnati, COO of thatDot, digs into the debate between stream vs. batch processing, when it is best to use each approach, and the inevitable growth of stream processing.

What is Categorical Data

Colored Blocks in Data Anomaly

A comprehensive and accessible consideration of categorical data, how it differs from numerical data, and why it is useful.

DBTA: thatDot Launches Streaming Graph Platform

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Quine can transform months of tedious data engineering into an afternoon’s work enabling data pipeline engineers to easily interpret high-volume event data streams, innovate and ship products  faster, and to use the emerging Graph AI tools driving the next wave in machine learning.