作者｜陈鹏，镜舟科技 技术副总裁 过去三十年，OLAP 引擎的发展核心始终围绕结构化数据的处理与分析，当然也取得了显著的进步，比如分布式架构、存算分离及 cloud ...

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本发明公开了一种高效的物化视图构建方法及数据处理系统，专为解决大规模分布式数据库中复杂查询的高延迟问题而设计。该技术通过智能化的预计算策略，将高频复杂的SQL查询结果预先计算并存储，构建出能够实时响应的物化视图。核心创新在于其构建算法支持多表关联（J ...

How Are Oltp And Olap Used As Methodologies In The Process Of Gathering Business Intelligence? In contrast to OLTP databases, OLAP databases are intended to support analytical processing of data ...

JOIN Payment p ON b.BookingID = p.BookingID JOIN OLAP.Dim_Tourist dt ON b.TouristID = dt.TouristID AND dt.IsCurrent = TRUE GROUP BY dt.SurrogateID, d.DateID, t.TourID INSERT INTO ...

Abstract: The augmenting data in the contemporary world triggers Data Warehouses (OLAP-Online Analytical Processing Systems) to maintain tremendous amount of data. Apart from being a data repository, ...

构建大数据平台，少不了要和各种开源OLAP引擎打交道，那么这么多引擎，用户该如何选择呢？我们先来了解下什么是OLAP，有哪些主流赛道？ 为了满足数据运营的精细化要去，企业在做数据分析时，通常会分OLAP（On-line Analytical Processing，联机分析处理）、OLTP ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

Ignite Microsoft has pushed out Azure Synapse Link for Cosmos DB to general availability in an effort to bring its transactional NoSQL database closer to the analytics workhorse data warehouse. Teased ...