O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Microservices saw a 20% drop. Many developers expressed frustration with microservices during the year and argued for a return to monoliths.

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Trends Technical Review Technology Artificial Inteligence 117

O'Reilly Media - Ideas

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. It’s possible that microservices architecture is hastening the move to other languages (such as Go, Rust, and Python) for web properties.

Technical Review 139

Technical Review Microservices Data Engineering Architecture 139

Apiumhub

SEPTEMBER 20, 2023

From software architecture to artificial intelligence and machine learning, ​​these conferences offer unparalleled insights, networking opportunities, and a glimpse into the future of technology. In this article, we´ll be your guide to the must-attend tech conferences set to unfold in October.

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O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Artificial Intelligence: AI For Business , May 1. Building Intelligent Bots in Python , May 7. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Why Smart Leaders Fail , May 7.

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Course Artificial Inteligence Training Microservices 10

O'Reilly Media - Ideas

MARCH 1, 2023

Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. For several years, microservices has been one of the most popular topics in software architecture, and this year is no exception. Have microservices reached a peak?

Trends 135

Trends Technical Review Technology Software Review 135

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

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Weak Development Team Data Technical Review Survey 127

Abhishek Tiwari

DECEMBER 27, 2017

Data solution vendors like SnapLogic and Informatica are already developing machine learning and artificial intelligence (AI) based smart data integration assistants. These assistants can recommend next-best-action or suggest datasets, transforms, and rules to a data engineer working on a data integration project.

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O'Reilly Media - Ideas

MARCH 18, 2020

Last year, when we felt interest in artificial intelligence (AI) was approaching a fever pitch, we created a survey to ask about AI adoption. One-sixth of respondents identify as data scientists, but executives—i.e., What is more, almost three-quarters of survey respondents say they work with data in their jobs.

Enterprise 132

Enterprise Survey Technical Review Weak Development Team 132

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

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O'Reilly Media - Ideas

JANUARY 25, 2022

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.

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Trends Technical Review Technology Artificial Inteligence 109

O'Reilly Media - Ideas

JANUARY 25, 2021

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. 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.

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