Built with BigQuery: How Tamr delivers Master Data Management at scale and what this means for a data product strategy
Built with BigQuery: How Tamr delivers Master Data Management at scale and what this means for a data product strategy
Built with BigQuery: How Tamr delivers Master Data Management at scale and what this means for a data product strategy
Multivariate time series forecasting allows BigQuery users to use external covariate along with target metric for forecasting.
Google Cloud customers who want app-level encryption in hybrid cloud data warehouses can encrypt and decrypt that data outside BigQuery. Here’s how to do that securely.
Built with BigQuery: How to Accelerate Data-Centric AI development with Google Cloud and Snorkel AI.
Building a data-driven pricing platform for speed, scale and automation with BigQuery, Looker and more.
BigQuery multi-statement transactions are now generally available and offer greater scale and additional functionality to handle the most complex of transactions.
The query execution graph provides an intuitive interface with insights to help you understand, troubleshoot and optimize your BigQuery analytics queries.
Customers can solve marketing analytics, data governance and data sharing challenges with cross-cloud analytics.
Cross-cloud analytics are critical to breaking down data silos. Moving data with usability, security, low-latency, and audibility makes it a reality.
Zeotap is a next-generation Customer Data Platform hosted in Google Cloud aimed at building customized Audience segments and activating at scale.