
Discover how Prestissimo revolutionizes Presto SQL engine with C++ runtime, delivering enhanced performance, efficient memory management, and improved CPU utilization through vectorization and runtime optimizations.

Explore the integration of Presto and Spark, combining low-latency evaluation with robust execution for enhanced SQL experience in both interactive and batch use cases at Facebook scale.

Overview of Delta Lake 2.0 features, integrations, and community collaboration. Highlights include data skipping, Change Data Feed, column mapping, multi-cluster S3 writes, and support for various languages and platforms.

Explore Presto, a distributed SQL engine for data lake analytics. Learn its features, benefits, and use cases through an introduction and demo on AWS implementation.

Explore Prestissimo, Presto's new C++ query execution engine, offering improved performance, reliability, and efficiency for data analytics and open data lakehouses.

Explore Presto, an open-source distributed SQL query engine for data lakes. Learn its architecture, use cases, connectors, and performance benchmarking. Discover how Presto enables fast, scalable analytics on diverse data sources.

Explore Meta's innovative testing framework using privacy-safe synthetic data for compute engines, enhancing regression detection, test coverage, and release cycles in data warehousing.

Comparative analysis of Apache Spark and Presto on Amazon EMR, focusing on SQL performance using TPC-DS benchmark. Explores execution times, costs, and optimization techniques to guide big data analytics platform selection.

Explore Presto, a powerful SQL engine for data platform teams, and learn how it can enhance your data analytics capabilities and streamline query processing across diverse data sources.

Learn to build a cloud-agnostic data lake using Kubernetes, Rook, and Ceph for AI workloads. Discover how to provide unified data access across multiple data centers for data scientists and developers.

Explore advanced analytics for Prometheus metrics using Spark, Presto, and Superset. Learn to perform complex queries and join metrics with Kubernetes metadata for deeper insights.

Explore Presto's architecture, use cases, and future developments as an open-source SQL engine for querying data lakes, with insights on performance, scalability, and reliability improvements.

Explore Presto's capabilities for fast, scalable SQL analytics across diverse data sources. Learn how major companies leverage it and see a demo on AWS. Discover Presto's open-source success and future enhancements.

Learn to construct an open data lakehouse on AWS using Presto and Apache Hudi, combining data lake flexibility with data warehouse performance for efficient big data management.

Learn to insert data into Hudi tables and efficiently query them using Presto, enhancing your data management and analysis skills in distributed systems.

Explores Alluxio local cache for petabyte-scale OLAP, optimizing data transfer efficiency in decoupled compute-storage models. Shares insights from Uber and Meta deployments.