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…
Introducing the Hive-BigQuery open-source Connector
In Google work on the Big Data solutions architecture, BigQuery, and Dataproc teams, we talk to a lot of customers who are interested in migrating all or part of their data warehouse from Apache Hive to BigQuery, but who have hit some speed bumps along the way. To…
Build, automate, and monitor BigQuery ML models with Vertex AI MLOps capabilities
Making machine learning (ML) models work in production is hard. It usually requires not only a deep understanding of ML, data engineering, and software engineering, but also a variety of tools and technologies. BigQuery ML and Vertex AI make it easier to create, deploy, and manage machine learning…
Transform your unstructured data with AI using BigQuery object tables, now GA
Today, the vast majority of data that gets generated in the world is unstructured (text, audio, images), but only a fraction of it ever gets analyzed. The AI pipelines required to unlock the value of this data are siloed from mainstream analytic systems, requiring engineers…
Introducing partitioning and clustering recommendations for optimizing BigQuery usage
Do you have a lot of BigQuery tables? Do you find it hard to keep track of which ones are partitioned and clustered, and which ones could be? If so, we have good news. Google are launching a partitioning and clustering recommender that will do the work…
Get more insights out of your Google Search data with BigQuery
Many digital marketers and analysts use BigQuery to bring marketing data sources together, like Google Analytics and Google Ads, to uncover insights about their marketing campaigns and websites. Google are excited to dive deeper into a new type of connection that adds Google Search data into this mix. Earlier…
Built with BigQuery: How Mercari US turned BigQuery into an ML-powered customer-growth machine
When peer-to-peer marketplace Mercari came to the US in 2014, it had its work cut out for it. Surrounded by market giants like eBay, Craigslist, and Wish, Mercari needed to carve out an approach to compete for new users. Furthermore, Mercari wanted to build a network for…
Unify your data assets with an open analytics lakehouse
For over a decade, the technology industry has searched for ways to store and analyze vast amounts of data that can handle an organization’s volume, latency, resilience, and varying data access requirements. Companies have been making the best of existing technology stacks to tackle these…
Track Your Cloud Costs with BigQuery for Easy Analysis
Mark MirchandaniGoogle Cloud Developer Advocate Export your billing data to BigQuery to keep track of your cloud costs Regular file export for Google Cloud billing is going away on May 15th! Try out this interactive tutorial to set up exporting and explore your billing data with BigQuery…
Introducing BigQuery Partner Center — a new way to discover and leverage integrated partner solutions
Google are committed to building the most open and extensible Data Cloud. Google want to provide our customers with more flexibility, interoperability and agility when building analytics solutions using BigQuery and tightly integrated partner products. Google have therefore significantly expanded our Data Cloud partner ecosystem, and are…
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