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 ...

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

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.

Transform Excel with Python integration: automate tasks, analyze data, and uncover insights for smarter decisions. This workflow upgrade ...

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

A data-first strategy will become increasingly necessary as new and emerging technologies like generative AI take hold.