"A technique for navigating through levels of data ranging from the most summarized (up) to the most detailed (down). For example, to view the details of sales data by year, a user can drill down to display sales data by quarter, and drill down further to display data by month." (Microsoft Corporation, "SQL Server 7.0 System Administration Training Kit", 1999)
"The act of adding a row header or replacing a row header in a report to break down the rows of the answer set more finely." (Ralph Kimball & Margy Ross, "The Data Warehouse Toolkit" 2nd Ed., 2002)
"To delve deeper into data by going from a summary value to more detailed values." (Margaret Y Chu, "Blissful Data ", 2004)
"The process of exposing progressively more detail by making selections of items in a dynamic report or further enhancing a query." (Sharon Allen & Evan Terry, "Beginning Relational Data Modeling" 2nd Ed., 2005)
"Method of analysis for retrieving lower levels of detailed data starting from summary data." (Paulraj Ponniah, "Data Warehousing Fundamentals for IT Professionals", 2010)
"A method of exploring detailed data that was used in creating a summary level of data. Drill down levels depend on the granularity of data within a dimension." (DAMA International, "The DAMA Dictionary of Data Management", 2011)
"To decompose data into more atomic components, that is, data at lower levels of aggregation." (Carlos Coronel et al, "Database Systems: Design, Implementation, and Management" 9th Ed., 2011)
"An analytical technique that lets a DSS user navigate among levels of data ranging from the most summarized (up) to the most detailed (down)." (Ciara Heavin & Daniel J Power, "Decision Support, Analytics, and Business Intelligence 3rd Ed.", 2017)
"A method of exploring detailed data that was used in creating a summary level of data. Drill Down levels depend on the granularity of the data in the data warehouse." (Intrafocus)
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