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…
How YouTube uses Bigtable to power one of the world’s largest streaming services
Cloud Bigtable is a popular and widely used key-value database available on Google Cloud. The service provides elastic and high scale, cost efficiency, excellent performance characteristics, and 99.999% availability SLA. This has led to massive adoption with customers trusting Bigtable to run a variety of their…
How to sustainably transform while minimizing risk
In this post, Google will look at the endgame: sustainable transformation into an organization that continually adapts to maximize its resilience while reducing risk. Where will my customers be with the evolving global community landscape? How can I design communities and products with sustainability in…
3 new ways to authorize users to your private workloads on Cloud Run
More and more organizations are building applications on Cloud Run, a fully managed compute platform that lets you run containerized applications on top of Google’s infrastructure. Think web applications, real-time dashboards, APIs, microservices, batch data processing, testing and monitoring tools, data science inference models, and more….
Optimizing your sustainability efforts for resilience
Optimizing energy and resource use has clear benefits, both environmental and financial, including energy cost savings, reduced carbon emissions, and lower compliance and reputational risk. The Google Cloud Ready – Sustainability program offers a growing list of validated solutions to help customers build a sustainable…
Introducing Cloud Armor WAF enhancements to help protect your web application and API service
Organizations migrating web applications and their APIs to the cloud need solutions to protect them from exploits and distributed denial of service (DDoS) attacks. Google Cloud Armor is a network security service that provides defenses against DDoS and OWASP Top 10 risks. Google are excited to introduce several new…
Making insights actionable with new Looker Studio scheduling capabilities
Scheduling reports in Looker Studio helps teams predictably and reliably distribute insights to business users in the flow of work and workflows where they spend their time. This helps to foster a data culture, making information more actionable and contextual, and enabling cross-team collaboration. Today, we are…
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…
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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
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