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Explore PrestoDB's architectural evolution, community growth, and future development plans, focusing on enhanced speed, efficiency, and extensibility in this open-source project overview.
Discover how to maximize PrestoDB's potential by integrating with OpenMetadata for enhanced data management, cataloging, quality control, and collaboration through a unified interface.
Discover how to optimize Lakehouse queries using Apache Hudi and Presto's multi-modal index subsystem, enabling faster data processing and improved query performance through advanced data skipping methodologies.
Explore headless BI architecture, focusing on data modeling, access control, and aggregate awareness while examining key trade-offs in modern data stack implementations.
Discover how to architect high-performance data lakes using object storage, focusing on MPP query engines and advanced features for scalable analytics across multi-cloud environments.
Discover how to transform raw data into ML features using Tecton's integration with Athena, enabling rapid development and deployment of feature pipelines for real-time machine learning.
Discover how Uber implements production best practices and infrastructure for governing Presto query workloads, featuring insights into their developed systems and methodologies.
Discover how to unify AI data management by running Presto SQL queries on Lance-based vector data lakes, enabling 10x faster searches and simplified data transformations.
Master advanced monitoring techniques for optimizing Presto clusters, from identifying query latency and resource issues to implementing proactive solutions using tools like Prometheus and Grafana.
Discover how Hudi's multi-modal indexing framework enhances Presto's query optimization, featuring advanced data management capabilities and improved efficiency for point and range lookups.
Explore how Presto optimizes machine learning workflows through efficient data storage, compressed execution, and late materialization techniques for large-scale training datasets.
Discover how Nimble, Meta's open-source file format, revolutionizes large dataset management with enhanced efficiency, flexibility, and superior performance for ML training data preparation.
Dive into advanced techniques for verifying non-deterministic queries in Prestissimo, exploring query rewriting methods and correctness verification using Presto Verifier and Velox Fuzzer.
Discover how Bolt leverages Presto and IBM watsonx.data to power their European mobility services platform, enhancing data operations for ride-hailing and delivery services.
Dive into advanced expression evaluation techniques in Velox, exploring vectorized execution optimizations, dictionary operations, and sophisticated fuzz testing frameworks for enhanced database performance.
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