Dataconomy

MAY 26, 2025

Azure Data Studio has rapidly gained popularity among developers and database administrators for its user-friendly design and powerful features. As a versatile tool, it simplifies the management of both SQL Server and Azure SQL databases, offering a modern alternative to traditional database management solutions.

Azure 91

Azure Database Administration SQL Database 91

IBM Journey to AI blog

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

Machine Learning 129

Machine Learning Machine Learning ML ML 129

ODSC - Open Data Science

JANUARY 29, 2024

GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. Data Engineering A job role in its own right, this involves managing the modern data stack and structuring data and workflow pipelines — crucial for preparing data for use in training and running AI models.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

DagsHub

OCTOBER 23, 2024

They enable flexible data storage and retrieval for diverse use cases, making them highly scalable for big data applications. Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Data Processing Tools These tools are essential for handling large volumes of unstructured data.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

The MLOps Blog

OCTOBER 20, 2023

And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis. When data science was sexy , notebooks weren’t a thing yet. Aside neptune.ai

SQL 52

SQL Database Data Scientist Python 52