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Explore the shift from enterprise data warehouses to lakehouse architecture, focusing on benefits, challenges, and Starburst's role in powering SQL-based analytics on Delta Lake.
Learn to build a Lakehouse on AWS, combining data lake affordability with data warehouse performance. Discover integration with AWS services and real-world examples of high-performance, cost-effective analytics solutions.
Explore building end-to-end Delta pipelines on GCP, covering data reliability, performance, and the Bronze-Silver-Gold architecture pattern, with practical code examples and Big Query integration.
Explore how leading manufacturers leverage data and AI to optimize operations and supply chains. Industry experts share insights on intelligent manufacturing, equipment-as-a-service, and sustainability initiatives.
Explore AI advancements, data science, MLOps, and Databricks Lakehouse Platform innovations. Featuring industry leaders and Bill Nye, this keynote covers MLFlow updates, AutoML, and practical machine learning solutions.
Malala Yousafzai discusses her activism for girls' education globally, sharing insights on inspiration, technology's role, and addressing gender imbalance in tech during a fireside chat at Data + AI Summit.
Explore effective data management strategies for AI success with insights from PETRONAS' Head of Enterprise Data on building a data-driven organization and empowering citizen analytics.
Explore how Johnson & Johnson leverages a comprehensive data platform for business transformation, featuring insights on data curation, AI applications, and strategic decision-making.
JoAnn Stonier discusses ethical data use in AI, addressing bias, GDPR, global responsibility, and societal impact. She offers insights on eliminating bias and advice for data leaders.
Explore data skipping and Z-ordering techniques to enhance Delta Lake performance, focusing on optimized partitioning strategies for improved read and write efficiency in large-scale data lakes.
Discover performance enhancements in Apache Spark 3.0 and Delta Lake's data reliability features. Learn about Adaptive Query Execution, Dynamic Partition Pruning, and handling skewed queries for improved big data processing.
Explore how Salesforce built an engagement activity platform using Delta Lake to support Einstein Analytics and Sales Cloud Einstein, covering data ingestion, incremental reads, and mutation handling.
Comprehensive overview of MLflow Model Serving, covering offline and online scoring, deployment options, and integration with Databricks, with practical examples and recent features.
Sol Rashidi, CAO of Estée Lauder, discusses updating data leadership strategies to increase business value through AI, product development, and overcoming organizational challenges.
Explore scalable ML pipelines in gaming, leveraging Apache Spark for data-driven product development and improved user acquisition through advanced LTV modeling.
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