Remove Architecture Remove Data Engineering Remove Google Cloud Remove Sustainability
article thumbnail

What is a data architect? Skills, salaries, and how to become a data framework master

CIO

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 328
article thumbnail

Porsche Carrera Cup Brasil gets real-time data boost

CIO

In the annual Porsche Carrera Cup Brasil, data is essential to keep drivers safe and sustain optimal performance of race cars. Until recently, getting at and analyzing that essential data was a laborious affair that could take hours, and only once the race was over. You can monitor and act on the data and you can set thresholds.”

Data 262
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

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. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

article thumbnail

Five Takeaways from HashiConf US 2019: Building Infrastructure in a Multi-* World

Daniel Bryant

This event obviously consisted of a self-selected audience of HashiFans, but it’s still worth mentioning that there was a decided pushback in relation to an organisation attempting to select “one cloud to rule them” that I’ve heard at previous events.

article thumbnail

A brave new (generative) world – The future of generative software engineering

Capgemini

The evolution of microservices architecture lays the foundation for Generative Software Engineering. Just as object-oriented languages and cloud architectures opened new horizons for software development, Generative AI will pave the way for a future where software not only serves but anticipates and evolves with human needs.

article thumbnail

Machine Learning basics: 10 Platforms to start learning and get awesome at it

UruIT

Google Cloud . Different tools such as SAS Visual Analytics and SAS Visual Data Miner & Machine Learning , offers a great option for machine learning development, visual data mining and visual statistics. Nowadays, MathWorks provides users with a sustained visibility in the general advanced analytics field.

article thumbnail

10 Platforms for Getting Started with Machine Learning

UruIT

Having these requirements in mind and based on our own experience developing ML applications, we want to share with you 10 interesting platforms for developing and deploying smart apps: Google Cloud. We wanted to highlight SAS’s cloud-ready architecture that makes analytics more accessible to a broad range of users.