Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. One of the vendors that has been on the Gartner Magic Quadrant for Public Cloud Infrastructure Managed Service Providers, Worldwide since its first release in March 2017, is REAN Cloud.

Cloud 78

Cloud Google Cloud Azure AWS 78

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

O'Reilly Media - Ideas

FEBRUARY 18, 2020

Also: infrastructure and operations is trending up, while DevOps is trending down. Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. After several years of steady climbing—and after outstripping Java in 2017—Python-related interactions now comprise almost 10% of all usage. Coincidence?

Technical Review 141

Technical Review Microservices Data Engineering Architecture 141

The Citus Data

MARCH 31, 2023

(Americas livestream, keynote, civic data, Datasette, SQLite, Postgres futures) The Distributed PostgreSQL problem & how Citus solves it , by Marco Slot who is the lead architect for the Citus database engine at Microsoft.

Azure 85

Azure Open Source Virtualization Software Engineering 85

O'Reilly Media - Ideas

JANUARY 25, 2024

Before that, cloud computing itself took off in roughly 2010 (AWS was founded in 2006); and Agile goes back to 2000 (the Agile Manifesto dates back to 2001, Extreme Programming to 1999). And there was no generative AI, no ChatGPT, back in 2017 when the decline began. Interest in data warehouses saw an 18% drop from 2022 to 2023.

Trends 119

Trends Technical Review Technology Artificial Inteligence 119

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. 1 again in proposals this year.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8