Get the inside story of Yahoo’s data lake transformation. As a Hadoop pioneer, Yahoo’s move to Google Cloud is a significant shift in data strategy. Explore the business drivers behind this transformation, technical hurdles encountered, and strategic partnership with Google Cloud that enabled a seamless migration. We’ll uncover key lessons, best practices for data lake modernization, and how Yahoo is using BigQuery, Dataproc, Pub/Sub, and other services to drive business value, enhance operational efficiency, and fuel their AI initiatives.

This session will detail the process of architecting enterprise-grade big data pipelines, encompassing the orchestration of Ephemeral Dataproc clusters, customization through custom images and the strategic incorporation of GPU resources. Real-world use cases, best practices, challenges, and future trends in this domain will also be discussed, providing actionable insights for implementing cutting-edge big data solutions.

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Learn how Dataproc can support your hybrid multicloud strategy and help you meet your business goals for your big data open source analytics workloads. Discover how LiveRamp achieved performance boosts and cost reductions by migrating to Dataproc. Learn their migration secrets, overcome common hurdles, and leverage Dataproc's hidden gems for a seamless transition.

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.