As you can imagine, we have multiple services, from small transformation functions to intricate ML models, all of which we would like to use to enrich the streams of data in our live processing ...

In recent years, the shortage of data engineers has at times exceeded the shortage of data scientists. To help close the gap, a Silicon Valley startup called Prophecy today unveiled a low-code data ...

Apache Airflow is one of the world’s most popular open source tools for building and managing data pipelines, with around 16 million downloads per month. Those users will see several compelling new ...

By validating data as it flows through pipelines, enterprises gain real-time control over the information driving AI, analytics, and regulatory reportingBOSTON, Oct. 09, 2025 (GLOBE NEWSWIRE) -- ...

The growing volume and complexity of omics data have created a need for standardized and user-friendly analysis approaches. Workshops and sessions on R-based data processing have become highly ...

This course aims to cover various tools in the process of data science for obtaining, cleaning, visualizing, modeling, and interpreting data. Most of the tools introduced in this course will be based ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...