Remove Coding Remove Definition Remove High Quality Data Remove Pipeline-centric
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Experts Share the 5 Pillars Transforming Data & AI in 2024

Monte Carlo

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Today’s LLMs can already process enormous amounts of unstructured data, automating much of the monotonous work of data science. Those who don’t embrace it will be left behind. John agrees. “

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Data Engineering Weekly #125

Data Engineering Weekly

Contribute to the Rudderstack Transformations Library, Win $1000 RudderStack Transformations lets you customize event data in real-time with your own JavaScript or Python code. Latency & Efficiency Scalability & Reliability Going Beyond Data Analytics use cases [link] Click here to read the paper.

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Data Pipelines in the Healthcare Industry

DareData

Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer. One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". What makes a good Data Pipeline?

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The Rise of the Data Engineer

Maxime Beauchemin

The data engineering discipline took cues from its sibling, while also defining itself in opposition, and finding its own identity. Like data scientists, data engineers write code. They’re highly analytical, and are interested in data visualization.