Combine data across BigQuery and Salesforce Data Cloud securely with zero ETL
Google are excited that bidirectional data sharing between BigQuery and Salesforce Data Cloud is now generally available. This will make it easy for customers to enrich their data use cases by combining data across different platforms securely, without the additional cost of building or managing…
Unleash your Google Cloud data with ThoughtSpot, Looker, and BigQuery
Today’s businesses have to deliver innovation and operational improvements at high velocity — finding new ways to delight customers while paying close attention to efficient revenue growth. This goal translates to leveraging data and analytics in every part of their value chain, be it within…
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…
Categories
Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
Categories
- Article (513)
- Case Studies (27)
- News (59)
- Press Release (21)
- Training (1)
- Uncategorized (4)
Recent Comments
Archives
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- December 2021
- November 2021
- October 2021
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- March 2021
- February 2021
- December 2020
- November 2020
- October 2020
- August 2020
- July 2020
- June 2020
- February 2020
- January 2020
- December 2019
- May 2016