Fuzzy Data Matching with SQL: Enhancing Data Qu. Lehmer**
O'Reilly Media
Fuzzy Data Matching with SQLEnhancing Data Quality and Query Performance\nAuthor(s): Jim Lehmer\nFormat: Paperback\nPublisher: O'Reilly Media, United States\nImprint: O'Reilly Media\nISBN-13: 9781098152277, 978-1098152277\nSynopsis\nIf 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.\n\nDBAs, 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.\n\nFull of real-world techniques, the examples in the book contain workina
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