O'Reilly Media - Ideas

MAY 1, 2019

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. Cloud Computing on the Edge , June 11.

Course 60

Course Training Artificial Inteligence Machine Learning 60

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Capgemini

MARCH 31, 2024

Unlocking the potential of generative software engineering: Lessons from the past, projections for the future The transformative journey of software engineering, from procedural development to object-oriented programming, to cloud and microservices, revolutionized how we build and maintain software.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

Apiumhub

AUGUST 12, 2021

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.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Kentik

APRIL 11, 2016

So in 2010 Google one-upped Hadoop, publishing a white paper titled “Dremel: Interactive Analysis of Web-Scale Datasets.” Subsequently exposed as the BigQuery service within Google Cloud, Dremel is an alternative big data technology explicitly designed for blazingly fast ad hoc queries.

Big Data 40

Big Data Analytics Network Architecture 40

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. You can find off-the-shelf links for.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

InfoQ Culture Methods

DECEMBER 28, 2020

As 2020 is coming to an end, we created this article listing some of the best posts published this year. This collection was hand-picked by nine InfoQ Editors recommending the greatest posts in their domain. It's a great piece to make sure you don't miss out on some of the InfoQ's best content.

Continuous Delivery 85

Continuous Delivery Google Cloud Data Engineering Microservices 85

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

O'Reilly Media - Ideas

JANUARY 14, 2025

Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale. Data engineers build the infrastructure to collect, store, and analyze data.

Trends 130

Trends Technology Security Artificial Inteligence 130

O'Reilly Media - Ideas

MARCH 1, 2023

For several years, microservices has been one of the most popular topics in software architecture, and this year is no exception. Although DDD has been around for a long time, it came into prominence with the rise of microservices as a way to think about partitioning an application into independent services. growth over 2021.

Trends 144

Trends Technical Review Technology Software Review 144

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.

Trends 142

Trends Technical Review Technology Artificial Inteligence 142

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.”

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

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.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145