Google today debuted a slew of new features aimed at analytics workloads, including Cloud Data Fusion, connected sheets in BigQuery, and Data Catalog.

The move by Google and Oracle signals a future in which AI is no longer locked to a single provider’s platform.

Cloud Data Fusion is designed to allow users to “easily ingest and integrate data from various sources and transform that data, for example, blending or joining it with other data sources, before ...

Google Cloud also provides Telenor with a set of real-time data tools — including Dataflow, Cloud Data Fusion, Pub/Sub, Dataform and Dataplex — that allow the company to monitor hundreds or ...

After selecting your data sets, you need to make sure BigQuery can ingest all this data. You might need to transfer some data to Google’s cloud.

His Google Cloud product/services purview included BigQuery – a fully managed, petabyte-scale, multi-cloud analytics data warehouse – along with Dataflow, Pub/Sub, Dataproc, Cloud Data Fusion ...

Oracle has embedded GPT-5 into its cloud infrastructure and SaaS apps, extending generative AI to databases, HR, finance, and ...

Previously relying on manual and spreadsheet-based financial planning, Oracle Red Bull Racing needed a unified view of its business data. The Oracle Fusion Cloud Applications Suite will connect ...

When it comes to data storage, is there a solution that offers optimal performance, security, resilience and governance at minimal costs without trade-offs? IBM Storage seeks to meet these ...