Built with BigQuery: Drive growth through data monetization
Since the launch of Built with BigQuery was first announced at the Data Cloud Summit in April 2022, Google gained some incredible momentum. Now, over 1000 ISVs and data providers are using BigQuery and Google Data and AI Cloud to power their applications. At Google Cloud Next this year, Google were…
Secure and privacy-centric sharing with data clean rooms in BigQuery
Businesses across industries share data, combining first-party data with external sources to obtain new insights and collaborate with partners. In fact, 6000+ organizations share over 275 PBs of data across organizational boundaries every week using BigQuery. Last year, Google launched in market Analytics Hub, built on…
Sharing Datasets across organizations with BigQuery Analytics Hub
Analytics Hub is a data exchange platform within BigQuery that helps organizations streamline the accessibility of data and analytics assets. It provides a unified environment where data analysts, data scientists, and users can collaborate, share data, and gain insights from various data sources. Here are…
So long data silos: Announcing BigQuery Omni cross-cloud joins
Organizations worldwide are dealing with growing volumes of data and distributed data lakes across different cloud platforms. Google launched BigQuery Omni to help customers break down these data silos, with the help of several cross-cloud analytics capabilities including cross-cloud transfer and cross-cloud transform (create table as a select). Already, in the…
Enhancing Google Cloud’s blockchain data offering with 11 new chains in BigQuery
Early in 2018, Google Cloud worked with the community to democratize blockchain data via our BigQuery public datasets; in 2019, we expanded with six more datasets. Today, Google added eleven more of the most in-demand blockchains to the BigQuery public datasets, in preview. And Google making improvements to existing…
Automate your data warehouse migration to BigQuery with new data migration tool
As customers embark on their digital transformation journey, migrating on-premises data warehouses to the cloud accounts for a significant percentage of their overall transformation efforts. Today, to accelerate data warehouse migrations to BigQuery, Google are announcing additional services in the form of a data migration…
Built with BigQuery: How Atlas AI helps build a more resilient future
The footprint of humanity is evolving substantially – from climate change alone scientists estimate that more than 600 million people on the planet have already been stranded outside of habitats that best support life. Other factors such as natural disasters, conflict, a global pandemic, and…
Improving sustainability with our Earth Engine and BigQuery connector
Google are thrilled to announce general availability of a new feature that simplifies the export of tabular data from Google Earth Engine into BigQuery. Earth Engine and BigQuery share a common goal to make large-scale data processing accessible and usable by a wide range of…
Scaling machine learning with BigQuery ML inference engine
As enterprises race to extract value from structured, semi-structured, and unstructured data, they face a continuum of challenges related to data gravity, including data acquisition, data management and data governance. Simultaneously, these companies are also grappling with model gravity as they build and scale machine learning workflows for…
Build limitless workloads on BigQuery: New features beyond SQL
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…
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Recent Posts
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- Doubling calculation speed and other new innovations in Google Sheets
- Continued growth and success in the competitive logistics market
- How to get started with new Gemini model capabilities for Places API
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