TY  - BOOK
AU  - Lehmer,Jim
TI  - Fuzzy data matching with SQL: enhancing data quality and query performance 
SN  - 1098152271
AV  - QA76.73.S67 L44 2023
U1  - 005 23/eng/20231010
PY  - 2023///
CY  - Sebastopol, CA
PB  - O'Reilly Media, Inc.
KW  - Data sets
KW  - Data editing
KW  - Statistical matching
KW  - SQL (Computer program language)
KW  - Jeux de données
KW  - Édition (Informatique)
KW  - Appariement (Statistique)
KW  - SQL (Langage de programmation)
N1  - Includes bibliographical references and index
N2  - If you were handed two different but related sets of data, what tools would you use to find the matches?  What if all you had was SQL SELECT access to a database?  In this practical book, author Jim Lehmer provides best practices, techniques, and tricks to help you import, clean, match, score, and think about heterogeneous data using SQL.  DBAs, programmers, business analysts, and data scientists will learn how to identify and remove duplicates, parse strings, extract data from XML and JSON, generate SQL using SQL, regularize data and prepare datasets, and apply data quality and ETL approaches for finding the similarities and differences between various expressions of the same data
ER  -