Cloud data warehouses (CDWs) bring large-scale data and compute power closer to users in enterprises. However, existing tools for analyzing data in CDWs are either limited in ad-hoc transformations or difficult to use for business users. Here we introduce Sigma Workbook, a new interactive system that enables business users to easily perform visual analysis of data in CDWs at scale. For this, Sigma Workbook provides an accessible spreadsheet-like interface for analysis through direct manipulation. Sigma Workbook dynamically constructs matching SQL queries from user interactions, building on the versatility and expressivity of SQL. Constructed queries are directly executed on CDWs, leveraging the superior characteristics of the new generation CDWs, including scalability. We demonstrate Sigma Workbook through 3 real-life use cases -- cohort analysis, sessionization, and data augmentation -- and underline Workbook's ease of use, scalability, and expressivity.
翻译:云层数据仓库(CDWs)使大型数据和计算能力更接近企业用户。然而,现有的CDW数据分析工具要么在临时转换中有限,要么难以为商业用户使用。在这里,我们引入了Sigma Workbook,这是一个新的互动系统,使商业用户能够方便地对CDW的大规模数据进行直观分析。为此,Sigma Workbook提供了一个可直接操作的电子表格式界面,供分析使用。Sigma Workbook动态地构建了匹配用户互动SQL查询的SQL查询的界面,以SQL的多功能性和表达性为基础。构建的查询直接在CDWs上进行,利用新一代CDW的优越性(包括可缩放性)进行。我们通过3个实际使用案例(群集分析、会分会和数据扩增)展示Sigma Workbook,并强调Worpb的易使用性、可缩放性和表达性。