Python UDF in BigQuery, now generally available
SQL is the industry standard for high-performance structured data analysis. However, expressing complex procedural logic, scientific computations, advanced string manipulations, or machine learning workflows in pure SQL can be highly challenging, if not impossible. That kind of work is better done with Python. Data practitioners often take on additional infrastructure management tasks — maintaining custom images and containers, and working with additional compute services — just to run simple helper functions with custom Python code and libraries.
Today, we are thrilled to announce the general availability (GA) of BigQuery Managed Python User-Defined Functions ( UDFs).
This launch represents a major milestone in BigQuery’s extensibility strategy, allowing data scientists, engineers, and analysts to execute custom Python code directly and securely inside BigQuery using standard SQL queries or BigQuery DataFrames(BigFrames) in Python. With this release, Python UDFs are fully supported for production enterprise workloads and completely integrated into BigQuery's billing...
Copyright of this story solely belongs to google.com. To see the full text click HERE
