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

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. Who wants to learn about design patterns or software architecture when some AI application may eventually do your high-level design?

Trends 119

Trends Technical Review Technology Artificial Inteligence 119

O'Reilly Media - Ideas

MARCH 6, 2019

Blockchain Applications and Smart Contracts , April 2. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1.

Course 10

Course Artificial Inteligence Training Microservices 10

Kentik

APRIL 11, 2016

So even with data cubes, Hadoop’s value in time-dependent applications is inherently constrained. Big Data in real time. Among the organizations that ran up against Hadoop’s real-time limitations was Google itself. That’s a game-changer for real-time applications such as network analytics.

Big Data 40

Big Data Analytics Network Architecture 40

O'Reilly Media - Ideas

MARCH 1, 2023

The two are closely related, of course; while the concept of design patterns is applicable to any programming paradigm, object-oriented programming (particularly Java, C#, and C++) is where they’ve taken hold. For several years, microservices has been one of the most popular topics in software architecture, and this year is no exception.

Trends 137

Trends Technical Review Technology Software Review 137

Altexsoft

JULY 19, 2022

No matter how ridiculous it may sound, the famous quote is applicable to the technology world in many ways. In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. What data mesh is NOT.

Architecture 52

Architecture Data Analytics Data Engineering 52

Daniel Bryant

SEPTEMBER 13, 2019

In relation to this, the HashiCorp Cloud Operating Model was once again on full display, and I believe that this is a very useful tool to help understand and plan the evolution of applications and infrastructure.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

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. process data in real time and run streaming analytics. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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 111

Trends Technical Review Technology Artificial Inteligence 111

O'Reilly Media - Ideas

JANUARY 25, 2021

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?)

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

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