Remove Continuous Integration Remove Data Engineering Remove Linux Remove Serverless
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160+ live online training courses opened for May and June

O'Reilly Media - Ideas

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Kubernetes Serverless with Knative , June 20.

Course 44
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Technology Trends for 2023

O'Reilly Media - Ideas

The top three year-over-year gains were for the CompTIA Linux+ certification, the CompTIA A+ certification, and transformers (the AI model that’s led to tremendous progress in natural language processing). Year-over-year growth for software architecture and design topics What about serverless? That could be a big issue.

Trends 131
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The Good and the Bad of Docker Containers

Altexsoft

Gone are the days of a web app being developed using a common LAMP (Linux, Apache, MySQL, and PHP ) stack. Launched in 2013 as an open-source project, the Docker technology made use of existing computing concepts around containers, specifically the Linux kernel with its features. Linux Container Daemon.

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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.” Go and Rust continue to grow. That’s no longer true.

Trends 107
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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly Media - Ideas

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. There’s been a lot of discussion about operations culture (the movement frequently known as DevOps), continuous integration and deployment (CI/CD), and site reliability engineering (SRE).