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Demystifying MLOps: From Notebook to ML Application

Xebia

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes. Source: Databricks.

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Technology Trends for 2023

O'Reilly Media - Ideas

Year-over-year growth for software development topics Software architecture Software architecture is a very broad category that encompasses everything from design patterns (which we also saw under software development) to relatively trendy topics like serverless and event-driven architecture. That could be a big issue.

Trends 134
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Technology Trends for 2022

O'Reilly Media - Ideas

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” That’s no longer true. Programming Languages. Until Next Year.

Trends 110
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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly Media - Ideas

Sometimes they’re only apparent if you look carefully at the data; sometimes it’s just a matter of keeping your ear to the ground. Trendy, fashionable things are often a flash in the pan, forgotten or regretted a year or two later (like Pet Rocks or Chia Pets ). serverless, a.k.a. The horse race? That’s just what it is.