Data is a valuable asset, and companies increasingly want to monetize it while also maintaining a high level of privacy and security. We’ll cover a real world example of data sharing and monetization between beauty tech company L’Oréal and multi-national retailer Carrefour. Learn how BigQuery data clean rooms keep data such as sales, customer segmentations, and stocks safe while also enabling monetization opportunities with third parties. You'll learn the newest innovations in data sharing for BigQuery.

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In this mini course you will learn the fundamentals of BigQuery, and how to use BigQuery to solve common challenges faced by data analysts. At the end of the course, you will be able to practice querying large datasets with BigQuery in a live lab environment.

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Discover how Robert Bosch, the world's largest automotive supplier, revolutionizes marketing through Gen AI-powered solutions. They are streamlining processes, optimizing resource allocation, and maximizing efficiency across 100+ decentralized departments. Unlike traditional methods, our Gen AI services offer simplicity in image-to-text, content creation, and translation in 130 languages to deliver improvements in just 30 days. Explore how Bosch utilized Google Vertex AI and BigQuery, transforming marketing operations rapidly for tangible results. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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This session explores new features of Serverless Spark and its integration with BigQuery. Discover how to harness the strengths of BigQuery with generative AI and open-source tools for flexible, powerful data processing and AI model development. With Spark in BigQuery, you'll benefit from:

Rapid Spark development in BigQuery's secure, scalable environment Flexible data processing: Choose local execution, Spark, or BigQuery *Streamlined Spark workflows with BigQuery's workflow orchestration

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Join this session to learn the latest innovations for BigQuery to support all data, be it structured or unstructured, across multiple and open data formats, and cross-clouds; all workloads, be they Cloud SQL, Spark, or Python; and built-in AI, to supercharge the work of data teams and unlock generative AI across new use cases. Learn how you can take advantage of BigQuery, a single, unified data platform that combines capabilities including data processing, streaming, and governance.

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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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Growth through data monetization is being driven by recent developments in two macro industry trends: data sharing and AI. Join this session to: - Explore these trends, the technology, and the business innovation behind them - Get real-world insights from leading data providers that are built with BigQuery - Leave with actionable best practices to monetize your own data

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Go from a cost center to a value driver to a profit center – transform your data team with Looker in 2024. For many small businesses today, data is still viewed as a cost center and operational expense. However with solutions such as BigQuery, Looker, and Gemini in Looker, companies have the ability to transform their data teams into value drivers and direct contributors to the bottom line. But where should you begin?

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Explore Mongodb Atlas — MongoDB’s developer data platform, and learn how to integrate it with various Google Cloud services. During this lab lounge, you will create a fully managed database deployment, set up serverless Triggers that react to database events, and build Atlas Functions to communicate with Google Cloud APIs.

Additionally, you will explore Google Cloud’s NLP APIs, perform sentiment analysis on incoming data, learn how to replicate operational datasets from MongoDB Atlas to BigQuery and build an ML model for classification.

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Generative AI is a fundamental shift in how business operate, and analytics ISVs (independent software vendors) are at the forefront of that shift. Join this session to: - Learn how ISVs that are built with BigQuery are using gen AI to solve complex business problems and create new opportunities. - Explore real-world success stories where businesses are achieving significant results - Gain insights into emerging trends and challenges, and potential for your business

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We'll explore how integrating AI, serverless computing, data analytics, and APIs can revolutionize the retail landscape. Learn how Google Cloud Run, Apigee, BigQuery, and Vertex AI collaborate to create personalized shopping experiences, streamline operations, and drive sustainability. Key takeaways include implementing conversational AI for enhanced customer interaction, leveraging BigQuery for data-driven insights, and using Cloud Run for efficient, scalable retail solutions.

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KPMG and Northwell Health will explore the critical relationship between high quality data and the ability to design, build, and deploy solutions that accelerate innovation and drive business value. Learn how to serve all data consumers by reducing barriers and supporting self-service using technologies like Dataplex, BigQuery, and Looker. KPMG will explain how they collaborated with Google Cloud to establish a clear vision and framework to accelerate digital transformation for our clients.

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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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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