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Learn about Apache Hudi, an open-source data lake platform that provides database-like capabilities over cloud storage systems in this comprehensive seminar presentation. Discover how Hudi enables fast mutations and queries on large-scale datasets stored in cloud environments, addressing key challenges in modern data lake architectures. Explore the technical foundations of Hudi's approach to providing ACID transactions, efficient upserts and deletes, and optimized query performance over data stored in formats like Parquet. Understand the architecture and design principles that allow Hudi to bridge the gap between traditional databases and data lakes, enabling real-time data processing and analytics workflows. Gain insights into practical implementation strategies, performance optimizations, and use cases where Hudi provides significant advantages over traditional data lake solutions. Examine how this technology fits into the broader ecosystem of big data tools and cloud-native architectures for handling streaming and batch data workloads at scale.
