BigQuery’s impressive performance reduces processing time from months to hours and delivers on-demand real-world insights for Telus.
True Fit, a data-driven personalization platform built on Google Data Cloud to provide fit personalization for retailers by sharing curated datasets.
A performance study on real-time data Integration from Oracle to Google BigQuery Using Striim.
Sibros’ Connected Vehicle Platform on Google Cloud delivers OTA data updates, collection, and commands with the flexibility and scale of the cloud
BigQuery ML reduces data to AI barrier by making it easy to manage the end-to-end lifecycle from exploration to operationalizing ML models using SQL.
Today, we’re hearing from telematics solutions company Geotab about how Google BigQuery enables them to democratize data across their entire organization and reduce the complexity of their data pipelines.
Our mission at Google Cloud is to help our customers fuel data driven transformations. As a step towards this, BigQuery is removing its limit as a SQL-only interface and providing new developer extensions for workloads that require programming beyond SQL. These flexible programming extensions are all offered without the limitations of running virtual servers.
