We will introduce some core Bigtable data concepts, write some data and explore it in the Cloud Console. Then we'll jump into using techniques to analyze the data in other tools, primarily BigQuery and Looker. We will set up the "Bigtable change streams to BigQuery" Dataflow pipeline, ingest data, query the change log in BigQuery and use Looker to create a visual dashboard. Throughout, we'll compare and contrast different ways to work with your big data in Bigtable to build a foundational understanding of best practices.

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Liberty Shared Services processes hundreds of thousands of invoices annually on behalf of its customers - a necessary but resource-intensive task related to varying invoice formats, globally diverse taxes, currencies, and other complexities. Find out how Liberty Shared Services and Datatonic developed an intelligent invoice-matching solution to address this challenge using Google Cloud, and how consequently, they are achieving significant operational efficiencies and cost savings, including slashing invoice processing costs by 70%.

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This session is ideal for anyone who wants to better understand their Google Cloud costs at a granular level, and optimize their expenses with prebuilt templates attendees can use to plug in their own Google Cloud data. We’ll explore how to export billing data to BigQuery; how to use metrics in observability analytics to join with billing and create a granular cost breakdown; and how to use this data to save money. We’ll provide a demo and example template that attendees can immediately apply to their production environment.

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U.S. floods cause ~$3B in damage annually. The National Oceanic and Atmospheric Administration predicts changing water levels, giving scientists and managers time to act. However, the massive archive of forecasts is too complex for typical users. Learn how BYU and U of Alabama, with SADA and Google, are using BigQuery, Cloud Run, DataFlow, and API Gateway to make these forecasts accessible for mobile apps, flood-warning systems, and more, addressing crucial concerns like rising river levels or the likelihood of flooding.

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SAP, Grow, and RISE users, transform your business: Leverage Google Cloud's BigQuery, Cortex Framework, Vertex AI and generative AI to unlock data's potential. See how Pluto7 integrates for a smarter supply chain for better customer experience with better demand-sensing, forecasting, planning inventory, reducing defects and more. Turn your SAP and non-SAP data into action, simplify processes and drive efficiency with gen AI and Gemini. Join us to elevate your business with real-time insights and strategic decision-making.

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With the surge of new generative AI capabilities, companies and their customers can now interact with systems and data in new ways. To activate AI organizations require a data foundation with the scale and efficiency to bring business data together with AI models and ground them in customer reality. Join this session to learn the latest innovations for data analytics and BI, and why tens of thousands of organizations are fueling their journey with BigQuery and Looker.

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Data Analytics, Level 300 In this session we will highlight CME Group's approach to enabling data access to our customers in non-traditional ways, making it easy for new customers to access CME Group data and how we have designed solutions to securely and efficiently provide access to public and private datasets to customers. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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In this session we will show how you can query, connect, and report on your data insights across clouds, including AWS and Azure, with BigQuery Omni and Looker. Reduce costly copying and customization and get answers quickly, so you can get back to work.

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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.

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BigQuery offers a comprehensive solution for migrating your data warehouse, including no-cost tools that help you accelerate migrations, reduce risk, and speed up the time to value. Join this session to discover the new migration tools and best practices.

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With BigQuery and AlloyDB you can run high-performance transactional and analytical workloads and tap into world-class AI models on Vertex AI. Learn how to create the next generation of data-driven experiences with intelligence built in.

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​​Discover how customers leverage unified capabilities with BigQuery to enable rapid and seamless connection of data with AI, empowering them to extract greater value from their information.

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In this game you will create and manage permissions for Google Cloud resources, run structured queries on BigQuery and Cloud SQL, create several VPC networks and VM instances and test connectivity across networks, and monitor a Google Compute Engine VM instance with Cloud Monitoring.

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Supercharge your processes with Gemini for Google Workspace. Build no-code solutions easily using AppSheet and create custom solutions integrated with BigQuery and Vertex AI. Learn how generative AI is evolving to help users tackle common workflow scenarios with ease.

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Explore how BigQuery customers can use Gemini to extract value from their data.

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Accelerate marketing analysis, tailored personalization, and impactful content creation with Vertex AI Search, Vertex AI Agents, Dialogflow CX, Gemini, and BigQuery ML

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In this mini course you will learn how to optimize performance and cost in BigQuery. You will learn how to optimize your queries and lower cost by optimizing your storage using partitioning and clustering. You will explore these techniques in a hands-on lab environment by exploring data inspired by a real customer use case.

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Businesses need to predict what customers want and create personalized experiences to gain a competitive advantage and drive revenue. They need to deliver customized, tailored interactions that increase customer acquisition, improve loyalty and increase satisfaction. Join Fullstory’s Head of Data Products to learn how Data + Engineering teams can supercharge tools like DialogFlow and BigQuery with unprecedented behavioral data to accurately forecast and create experiences that outpace the competition and keep customers coming back for more. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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In this game you will create and manage permissions for Google Cloud resources, run structured queries on BigQuery and Cloud SQL, create several VPC networks and VM instances and test connectivity across networks, and monitor a Google Compute Engine VM instance with Cloud Monitoring.

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In this game you will learn to build a BI dashboard with Looker Studio as the front end, powered by BigQuery on the back end, learn to use BigQuery to find data, build a time series model to forecast demand of multiple products using BigQuery ML, and create a basic report in Google Data Studio.

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