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 ...

While Python is ideal for complex and highly customized data transformations, it demands a steep learning curve. Power Query: Power Query simplifies the data cleaning process with its intuitive ...

The second part is LakeFlow Pipelines, which is essentially a version of Databricks’ existing Delta Live Tables framework for implementing data transformation and ETL in either SQL or Python.

Definity focuses on the data transformation plane on top of a data lake or warehouse, not the data ingestion part of the pipeline.

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

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...