Introducing BigQuery text embeddings for NLP tasks
You can now generate text embeddings in BigQuery and apply them to downstream application tasks using familiar SQL commands.
You can now generate text embeddings in BigQuery and apply them to downstream application tasks using familiar SQL commands.
Since the introduction of stream processing, there have been three certainties in life: death, taxes, and out-of-order data. As a stream processing library built for Apache Kafka, Kafka Streams processes data in offset order. When out-of-order data is present, offset order differs from timestamp order and care must be taken to ensure that processing results respect timestamp order where appropriate.
TraceMark’s sustainable sourcing monitoring platform provides transparency into global supply chains about the sourcing of raw materials.
Carto’s conversational GIS relies on BigQuery to provide information to generative AI, while BigQueryML connects to Vertex AI and PaLM2.
Learn the optimizations for a dbt deployment that are essential for a dependable data stack.