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Meetup: Pre-Aggregation with Apache Pinot (Xiaotian Jiang, StarTree)

Join: https://stree.ai/slack | Sub: https://stree.ai/sub | Apache Pinot is a high-performance real-time OLAP database designed for ultra-fast analytics at scale. To accelerate data filtering, it employs various indexing techniques, including sorted index, inverted index, and range index. However, even with efficient filtering, query performance can be significantly impacted by the volume of data that needs to be processed. In this talk, we will explore the different types of pre-aggregation strategies in Apache Pinot that reduce the amount of data processed, thereby enhancing query performance. Join us to learn how these techniques can optimize your data analytics workflows.

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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.

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Видео Meetup: Pre-Aggregation with Apache Pinot (Xiaotian Jiang, StarTree) канала StarTree
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