For Starburst and Trino developers and data engineers, this announcement means that they no longer need to offload data to frameworks like PySpark and Snowpark to handle complex transformation ...

In 2025, the integration of AI and Python will become increasingly tight. OpenAI's free inference model, o3 - mini, has excelled in areas such as mathematical code generation and physical simulation.

In a market worth over $300 billion, which is dominated by legacy players, EazyDI is redefining the standards of data ...

Digital innovation in 2025 delivers quick ROI through focused 4–6 week pilots. Assign a single owner and KPI, instrument data analytics from day one, and scale what works. Prioritize customer ...

In the course of nearly 30 years of collecting data about consumer spending patterns, Experian plc has amassed detailed information on more than 1 billion people and 25 million U.S. businesses. As ...

Praveen Kumar Dora Mallareddi, a senior data engineer, is transforming enterprise data infrastructure by building scalable, ...

A transformation factory approach creates a repeatable process that lays the proper data foundation for your transformation.

The idea behind a modern data stack is similar, but there are a lot more pieces involved. There are tools for data engineers (ETL tools, transformation tools, and pub/sub systems), data analysts (BI ...

The data lake is a fundamental concept of data management. But what type of storage do you need to build a data lake on and what are the pros and cons of on-prem vs the cloud?

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job.