Dataproc Serverless: Now faster, easier and smarter
Google Cloud is thrilled to announce new capabilities that make running Dataproc Serverless even faster, easier, and more intelligent. Elevate your Spark experience with: Native query execution: Experience significant performance gains with the new Native query execution in the Premium tier. Seamless monitoring with Spark UI: Track job progress…
How to get started with new Gemini model capabilities for Places API
Google Cloud announced the release of the new Gemini model capabilities for the Places API. In addition to using rich information about more than 250 million businesses and places–like ratings, reviews and business hours–developers will also be able to show helpful, generative AI summaries of places…
Database Center — your AI-powered, unified fleet management solution
Organizations are grappling with an explosion of operational data spread across an increasingly diverse and complex database landscape. This complexity often results in costly outages, performance bottlenecks, security vulnerabilities, and compliance gaps, hindering their ability to extract valuable insights and deliver exceptional customer experiences. To…
Chat with your business data – Conversational Analytics comes to Gemini in Looker
Generative AI has invigorated the promise of self-service analytics, which, when combined with enterprise-scale security and governance, and backed by trusted metrics, can prevent data chaos and empower you to quickly understand and act on your data insights. Looker is playing a key role in this…
When to use supervised fine-tuning for Gemini
Have you ever wished you could get a foundation model to respond in a particular style, exhibit domain-specific expertise, or excel at a specific task? While foundation models like Gemini demonstrate remarkable capabilities out-of-the-box, there can be a gap between their general knowledge and the…
Database Center — your AI-powered, unified fleet management solution
Organizations are grappling with an explosion of operational data spread across an increasingly diverse and complex database landscape. This complexity often results in costly outages, performance bottlenecks, security vulnerabilities, and compliance gaps, hindering their ability to extract valuable insights and deliver exceptional customer experiences. To…
BigQuery’s AI-assisted data preparation is now in preview
In today’s data-driven world, the ability to efficiently transform raw data into actionable insights is paramount. However, data preparation and cleaning is often a significant challenge. According to Gartner®1 “Gartner clients now report that 90% or more of their time is spent preparing data (as high…
Three steps in mapping out your modern platform strategy
As AI adoption speeds up, one thing is becoming clear: the developer platforms that got you this far won’t get you to the next stage. While yesterday’s platforms were awesome, let’s face it, they weren’t built for today’s AI-infused application development and deployment. And organizations…
Apache Airflow ETL in Google Cloud
Are you thinking about running Apache Airflow on Google Cloud? That’s a popular choice for running a complex set of tasks, such as Extract, Transform, and Load (ETL) or data analytics pipelines. Apache Airflow uses a Directed Acyclic Graph (DAG) to order and relate multiple…
Mastering Dataflow: 5 In-Depth Guides to Real-World Applications
Building effective real-time data solutions can be challenging, requiring specialized tools and a deep understanding of streaming data. Dataflow offers the power and flexibility to handle a wide range of use cases. And sometimes a little guidance on how to use it can go a long way….
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- The future of work, powered by the future of security
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Recent Posts
- The future of work, powered by the future of security
- Staying in sync: Effective collaboration strategies for distributed workforces
- Introducing Google Agentspace: Bringing AI agents and AI-powered search to enterprises
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
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