Remove Applications Remove Data Engineering Remove Microservices Remove System Design
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New live online training courses

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Applications , August 15.

Course 62
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Applications , August 15.

Course 47
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160+ live online training courses opened for May and June

O'Reilly Media - Ideas

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. 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. Systems engineering and operations.

Course 44
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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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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.”

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

O'Reilly Media - Ideas

Suddenly, the ability to design, build, and operate applications at scale wasn’t optional; it was necessary for survival. 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. But most applications (maybe 80% of them?)