000			nam a22 7a 4500
999			_c29280 _d29280
008			190326b xxu||||| |||| 00| 0 eng d
020			_a9781681734460 _c(pbk)
082			_a025.3 _bABE
100			_aAbedjan, Ziawasch
245			_aData profiling
260			_aS.l. : _bMorgan & Claypool Publisher , _c2019
300			_axviii, 136 p. : _bill. ; _c23.5 cm.
365			_aUSD _b64.95 _d00
520			_aData profiling refers to the activity of collecting data about data, i.e., metadata. Most IT professionals and researchers who work with data have engaged in data profiling, at least informally, to understand and explore an unfamiliar dataset or to determine whether a new dataset is appropriate for a particular task at hand. Data profiling results are also important in a variety of other situations, including query optimization, data integration, and data cleaning. Simple metadata are statistics, such as the number of rows and columns, schema and datatype information, the number of distinct values, statistical value distributions, and the number of null or empty values in each column. More complex types of metadata are statements about multiple columns and their correlation, such as candidate keys, functional dependencies, and other types of dependencies.
650			_aMetadata
650			_aData mining
700			_aGolab, Lukasz
700			_aNaumann, Felix
700			_a Papenbrock, Thorsten
942			_2ddc _cBK