Examining LLMs data generation and BigQuery DataFrames

Data processing and machine learning operations have been difficult to separate in big data analytics

This synthetic data can simulate operational or production data for ML model training or mathematical model evaluation

BigQuery DataFrames is an open-source Python package with pandas-like DataFrames and scikit-learn-like ML libraries for huge data

Vertex AI provides generative AI, including cutting-edge models, and Google Cloud Functions allows computational extensibility

Let’s use BigQuery DataFrames and LLMs to produce synthetic data in BigQuery

As with the given schema, run the LLM-generated code remote function on the indicator dataframe

BigQuery DataFrames integrates easily with your data warehouse, Vertex AI, and the advanced Gemini model