Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...

Cloudera, the provider of a leading platform for machine learning and advanced analytics built on the latest open source technologies, today unveiled Cloudera Data Science Workbench, a new ...

Domino Data Lab, provider of the leading Enterprise MLOps platform, is releasing Domino 4.4, adding enhancements that re-imagine the data science workbench. Domino 4.4 introduces several new features, ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Cloudera, which provides an analytics platform built on Hadoop and other open source software, has unveiled the Cloudera Data Science Workbench, a new self-service tool for data science on Cloudera ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...

On a mission to lighten the workload for data scientists, Google LLC’s cloud division today announced a wave of new artificial intelligence tools designed to help them build the next generation of AI ...

Microsoft announced a new extension pack for Visual Studio Code that bundles tools for Python development, assisted by the AI-powered GitHub Copilot and a data wrangler. The new Python Data Science ...

Data volumes continue to explode with the global “datasphere” – the total amount of data created, captured, replicated and consumed – growing at more than 20 percent a year to reach approximately 291 ...