Learn about real-time AI-powered insights with BigQuery continuous queries, and how this new feature is poised to revolutionize data engineering by empowering event-driven and AI-driven data pipelines with Vertex AI, Pub/Sub, and Bigtable – all through the familiar language of Cloud SQL. Learn about how UPS was able to use big data on millions of shipped packages to reduce package theft, their work on more efficient claims processing, and why they are looking to BigQuery to accelerate time to insights and smarter business outcomes.

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Adequately testing systems that use Google Cloud services can be a serious challenge. In this session we’ll show you how to shift testing to an API-first approach using Testcontainers. This approach helps us improve the feedback cycle and reliability for both our inner-dev loop and our competitive intelligence cycle. We’ll go through an end-to-end example that uses BigQuery and PubSub, Cloud Build, and Cloud Run. Examples will use Kotlin but it could be accomplished with other languages including Rust, Go, JavaScript, Python, Java, and more.

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Businesses everywhere have the opportunity to drive transformational impact by leveraging streaming data to make decisions and build experiences that delight users. In this session you will learn how MercadoLibre processes tens of billions of messages across thousands of applications to drive business impact. You will also learn about exciting new product announcements ranging from native ingest capabilities in Cloud Pub/Sub to new efficiency features in Dataflow to support for OSS technologies.

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Learn how Citadel’s fixed income fund powers their daily financial activities. First, we’ll explore the challenges of calculating profit and loss across thousands of positions, back-testing models and running trading strategies. Then we’ll discuss developing a versatile platform that bursts to thousands of workers while also handling real-time calculations. Finally, we’ll present challenges encountered and give insight on practical solutions teams can apply to their own cloud compute infrastructures.

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Connected vehicle telemetry has data that can be used to gain insights into vehicle performance, driver behavior, and fleet operations using AI technology. We will discuss how Ford uses Bigtable to collect, store, and analyze connected vehicle telemetry data in conjunction with BigQuery, Pub/Sub and Dataflow, a recipe applicable to many time series use cases. Get some of the insights we have gained from this data, how we have used these insights to improve our fleet operations and also some new Bigtable features we‘re most excited about.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.