KDnuggets

JANUARY 10, 2025

Build your own state-of-the-art AI applications with simple steps and beginner-friendly methodologies.

Project 116

Project Building 116

Confessions of a Data Guy

JANUARY 10, 2025

Every once in a great while, the question comes up: “How do I test my Databricks codebase?” It’s a fair question, and if you’re new to testing your code, it can seem a little overwhelming on the surface. However, I assure you the opposite is the case. Testing your Databricks codebase is no different than […] The post Testing and Development for Databricks Environment and Code. appeared first on Confessions of a Data Guy.

Coding 113

Coding IT Data 113

KDnuggets

JANUARY 10, 2025

This guide highlights the importance of container monitoring, key metrics to track, and tools ranging from Docker's built-in commands to comprehensive systems like Prometheus and Grafana.

Systems 125

Systems 125

ArcGIS

JANUARY 10, 2025

Address spatial confounding with Create Spatial Component Explanatory Variables in ArcGIS Pro 3.

Machine Learning 108

Machine Learning 108

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Data

databricks

JANUARY 10, 2025

SELECT 'Hello world!' COLLATE UNICODE, 'Zdravo svete!' COLLATE SR, ' , !' COLLATE EL, ', !' COLLATE RU, ', !' COLLATE ZH, 'Bonjour.

105

105

Hevo

JANUARY 10, 2025

Every year, Gartner rolls out its Magic Quadrant for Data Integration Tools, a trusted guide for data leaders on the hunt for the perfect integration tool.

Data Integration 40

Data Integration Data IT 40

Hevo

JANUARY 10, 2025

One of the most common things in data analytics is running the same analytics queries over and over again by different end users over various times and snapshots of the data. This action, in particular, makes running warehousing solutions expensive and time-consuming at the same time.

Data Analytics 40

Data Analytics Data 40

Hevo

JANUARY 10, 2025

Let’s face it: Data engineering is like playing Tetris, always moving objects around to fit them into the right places. The data is never static; pipelines, schemas, transformations, workflows, and flow are always puzzles that must be solved.

Data Engineering 40

Data Engineering Data Engineer Engineering Data 40