BigQuery ML’s approach to feature engineering, modularity, allows for easy reuse of feature pipelines within BigQuery, and portability to Vertex AI.

Mixpanel Warehouse Connectors is integrated with BigQuery, providing a view into shared product and marketing efforts.

Learn how you can reduce your compute analysis costs using the new BigQuery editions and billing model.

BigQuery makes it easy for you to gain insights from your data, regardless of its scale, size or location. BigQuery Data Transfer Service (DTS) is a fully managed service that automates the loading of data into BigQuery from a variety of sources. DTS supports a wide range of data sources, including first party data sources from the Google Marketing Platform (GMP) such as Google Ads, DV360 and SA360 etc. as well as cloud storage providers such as Google Cloud Storage, Amazon S3 and Microsoft Azure.

Snowflake account managers need their fingers on the pulse of which workload shifts or performance optimizations could improve customer experience. Yet without an all-encompassing view of their customers, sales teams have to piece together customers’ wants and needs through duplicate CRM accounts and various BI tools and dashboards.

Third-party cookies have long been the backbone of online advertising, providing valuable insights into user behavior and enabling targeted, personalized campaigns. However, privacy concerns and evolving regulations have led major browsers like Safari and Firefox to limit or eliminate third-party cookie tracking. The next major milestone is upon us as Google is now testing a cookieless experience for 1% of randomly assigned Chrome users.

In this blog series, Yellowfin Chief Technology Officer (CTO) Brad Scarff breaks down some of the coolest and most unique features of the Yellowfin embedded analytics suite. Advanced query generation is the use of sophisticated technologies such as artificial intelligence, machine learning and natural language to streamline complex data analysis.

In today’s dynamic business landscape, numerous organizations are transitioning to the Snowflake Data Cloud, seeking more agile, secure and efficient solutions to manage and activate customer data. Yet, the timelines and engineering resources needed to support implementation haven’t always kept pace with the increased market demand, impeding innovation.

As an industry built on data, financial services has always been an early adopter of AI technologies. In a recent industry survey, 46% of respondents said AI has improved customer experience, 35% said it has created operational efficiencies, and 20% said it has reduced total cost of ownership. Now, generative AI (gen AI) has supercharged its importance and organizations have begun heavily investing in this technology.

With the integration of BigQuery and Document AI, you can extract insights from document data and build new large language model (LLM) applications.