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当用户画像分析场景中存在大量的属性标签和行为标签时，使用Roaring Bitmap算法会有很大局限，Hologres为您提供BSI（Bit-sliced Index）算法，在解决局限问题的基础上尽可能保留Roaring Bitmap的多方优势。本文为您介绍在Hologres中如何通过BSI实现标签计算的最佳实践。

阿里云文档 2025-11-03

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阿里云文档 2025-08-12

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文章 2021-04-09 来自：开发者社区

十万亿级OLAP引擎解读-AnalyticDB如何支撑数据银行超大规模低成本实时分析

作者：崚嶒（杨然）数据技术及产品部-高级技术专家前言数据银行是一款品牌消费者运营的商业数据产品，由于其核心分析能力需要在海量数据上实现任意维度自由分析和响应时间上的强需求，我们大规模使用AnalyticDB作为底层的分析引擎，最终以较低的成本，出色的性能，支撑了上万品牌商大促期间每天百万级的OLAP查询。当前数据银行在AnalyticDB中存储了约几十万亿条数据，占用存储空间约1.6P，查询平均....

文章 2020-12-11 来自：开发者社区

十万亿级OLAP引擎解读-AnalyticDB如何支撑数据银行超大规模低成本实时分析

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云原生数据仓库AnalyticDB MySQL版

基于湖仓一体架构打造的实时湖仓，高度兼容MySQL，毫秒级更新，亚秒级查询。不论在数据湖中的非/半结构化数据，还是在数据库中的结构化数据，都能同时完成高吞吐离线处理和高性能在线分析，做到数据湖的规模，数据库的体验。

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实现 MySQL 到 ADB 秒级分析性能

在数据驱动决策的时代，一款性能卓越的数据分析引擎不仅能为企业提供高效的数据支撑，同时也解决了传统 OLTP 在数据分析时面临的查询性能瓶颈、数据不一致等挑战。本方案推荐通过 AnalyticDB MySQL + DTS 来解决 MySQL 的数据分析性能问题。

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