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StarTree Free Trial: https://stree.ai/intro-trial | Tim delves into the advanced aspects of Apache Pinot's architecture, highlighting its design for executing low-latency queries on both batch and streaming data with high concurrency. Discover how Pinot's architecture, fundamentally optimized for filtering and aggregation, excels in efficiently processing typical query patterns. Additionally, this module introduces the multi-stage query engine, a vital feature in Pinot 1.0, which expands capabilities for handling complex queries like inner joins, thereby enhancing the range of use cases and SQL support in Pinot. LEARN MORE ► Learn about Apache Pinot: https://dev.startree.ai CONNECT Subscribe on YouTube: https://youtube.com/c/startreedata?su... Community Slack: https://stree.ai/slack Twitter: / startreedata Linkedin: / startreedata GitHub: https://github.com/startreedata Site: https://startree.ai ABOUT STARTREE StarTree, powered by Apache Pinot: real-time analytics for user-facing apps. Discover the latest technical developments, trends, and use cases for real-time analytics straight from our engineers and open source developers, and your fellow industry colleagues and practitioners. StarTree is uniquely positioned to bring you fast, reliable and fresh perspectives on the shift from batch to real-time analytics, and from internal-facing to user-facing applications. Subscribe to our channel if you are designing systems that need to scale to petabytes of information, millions of users, and to provide results at sub-second scale latencies. #apachepinot #realtimeanalytics #startree