Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...

Open science is a fundamental pillar to promote scientific progress and collaboration, based on the principles of open data, open source and open access. However, the requirements for publishing and ...

The Hudi-rs project aims to standardize the core Apache Hudi APIs, and broaden the Hudi integration in the data ecosystems for a diverse range of users and projects. Snapshot query reads the latest ...

The DataProfiler is a Python library designed to make data analysis, monitoring, and sensitive data detection easy. Loading Data with a single command, the library automatically formats & loads files ...

In this post we’ll explore the Delta Lake Spark connector’s Z-Order command through both visualization and implementation. We’ll attempt to develop a visual intuition for what Z-Order does to the ...

The Google Analytics API provides access to Google Analytics (GA) report data such as pageviews, sessions, traffic source, and bounce rate. The official Google documentation explains that it can be ...

The unstoppable advances in data analysis and processing techniques for knowledge extraction and decision making, whether concerning Big Data or small data, motivate the idea of publishing datasets in ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

From COVID-19 data dashboards and election results to personal finance apps and social media analytics, visual representations of data are increasingly ubiquitous in day-to-day life and in business.