Making BigQuery ML feature preprocessing reusable and modular
BigQuery ML’s approach to feature engineering, modularity, allows for easy reuse of feature pipelines within BigQuery, and portability to Vertex AI.
BigQuery ML’s approach to feature engineering, modularity, allows for easy reuse of feature pipelines within BigQuery, and portability to Vertex AI.
Mixpanel Warehouse Connectors is integrated with BigQuery, providing a view into shared product and marketing efforts.
Learn how you can reduce your compute analysis costs using the new BigQuery editions and billing model.
BigQuery makes it easy for you to gain insights from your data, regardless of its scale, size or location. BigQuery Data Transfer Service (DTS) is a fully managed service that automates the loading of data into BigQuery from a variety of sources. DTS supports a wide range of data sources, including first party data sources from the Google Marketing Platform (GMP) such as Google Ads, DV360 and SA360 etc. as well as cloud storage providers such as Google Cloud Storage, Amazon S3 and Microsoft Azure.
With the integration of BigQuery and Document AI, you can extract insights from document data and build new large language model (LLM) applications.
Vertex AI transcription models in BigQuery let you transcribe speech files and combine them with structured data to build analytics and AI use cases.
BigQuery Omni’s new cross-cloud materialized views lets you perform cross-cloud analytics.
Natural language processing and large language models to help BigQuery process dataframes.
Integrate YugabyteDB with BigQuery using CDC and why you would want to.