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New live online training courses

O'Reilly Media - Ideas

Systems engineering and operations. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. How Routers Really Work: Network Operating Systems and Packet Switching , June 21. Getting Started with Google Cloud Platform , June 24. CCNA Cyber Ops SECFND 210-250 , August 13.

Course 64
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Systems engineering and operations. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. How Routers Really Work: Network Operating Systems and Packet Switching , June 21. Getting Started with Google Cloud Platform , June 24. CCNA Cyber Ops SECFND 210-250 , August 13.

Course 49
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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

Launching 24/7 digital platforms made him appreciate how much cloud technologies are developer superpowers. Laurent works at Google Cloud Paris and enjoys exploring, learning, and sharing the world of possibilities. He is the recipient of the 2018 NAE Charles Stark Draper Prize for Engineering and the 2017 IET Faraday Medal.

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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. Systems engineering and operations.

Course 45
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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.” It’s clear that Amazon Web Services’ competition is on the rise.

Trends 109
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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly Media - Ideas

The biggest challenge facing operations teams in the coming year, and the biggest challenge facing data engineers, will be learning how to deploy AI systems effectively. A backlash is only to be expected when software systems designed to maximize “engagement” end up spreading misinformation and conspiracy theories.