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.
The Chief Data Officer is arguably one of the most important roles at a company, particularly those that aspire to be data-driven. CDO appointments and the elevation of data leaders have accelerated in recent years, and the role has morphed as perceptions of data have evolved. Responsibilities span strategy and execution, people and processes, and the technology needed to deliver on the promise of data.
Organizations have been focused on enhancing customer experiences to enable quicker responses to services and to provide localized behavior for many years now. However, with the Internet of Things (IoT), Smart Cities, Gaming technologies and Self-Driving Cars going more mainstream, there is an even greater need for organizations to react faster to customer behavior and bring solutions closer to the customers.
Built with BigQuery: How to Accelerate Data-Centric AI development with Google Cloud and Snorkel AI.