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[O’Reilly Book] Chapter 1: Why Data Quality Deserves Attention Now

Monte Carlo

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. Your CTO is excited about migrating to the cloud, and constantly sends your team articles highlighting performance measurements against some of the latest technologies.

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rhine-bayes: a library for online reactive Bayesian inference

Tweag

Online reactive Bayesian machine learning in Haskell In this blog post, we will learn how to include Bayesian machine learning in a reactive rhine application. Imagine a program that reacts in real time to a sensor input: It might be a robot, an app using GPS data on a phone, or a device to track an object’s location.

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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.