I write about the broad intersection of data and society. The modern era of data science was once built upon an open and transparent world of open source ... Data analytics is increasingly ...

I believe in this case, the winners will share one really important quality: a deliberate choice in favor of leveraging open source technologies at the heart of their modern data architecture.

The latest trends and issues around the use of open source software in the enterprise. Let’s take a quick dip into Open Data Lakes Analytics. But before we do, we need to cross off some names ...

Expect to see JupyterLab reach a stable 1.0 release towards the end of 2018, and data science to get a bit of a facelift going into 2019. The KNIME Analytics Platform is open source software for ...

notebooks and analytics dashboards. Built on Delta Lake and powered by the open-source Delta Sharing protocol for securely sharing data, the marketplace will provide an opportunity to monetize ...

you may also benefit from analyzing open source threat intelligence feeds and other sources that frequently update massive amounts of data. If your data collection and analysis goals require you ...

The company offers payers, providers, and pharmaceutical companies the ability to transform claims and EHR datasets into analytics-ready data tables via an open-source data model with built-in ...

Levenson discussed how machine learning and an open source-based data lakehouse architecture like the Databricks Lakehouse Platform could help agencies perform predictive analytics using various ...

providing freely available open-source data analytics tools for processing data of any size and for any domain. The collection of tools includes high-performance, cloud-friendly, OS-independent Python ...

Open-source data science ... innovation while still making sure data is kept safe. “The Knime Analytics Platform has no barrier to entry and its open-source nature allows a large community ...