Fuzzy Data Matching with SQL
Enhancing Data Quality and Query Performance
(Sprache: Englisch)
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. Full of real-world techniques, the examples in the book contain working code.
lieferbar
versandkostenfrei
Buch (Kartoniert)
Fr. 69.90
inkl. MwSt.
- Kreditkarte, Paypal, Rechnungskauf
- 30 Tage Widerrufsrecht
Produktdetails
Produktinformationen zu „Fuzzy Data Matching with SQL “
Klappentext zu „Fuzzy Data Matching with SQL “
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. Full of real-world techniques, the examples in the book contain working code.
Autoren-Porträt von Jim Lehmer
James Lehmer has been "in computers" for over three decades in various software development roles - programmer, systems programmer, software engineer, team lead, and software architect. He has worked on a variety of operating systems with a number of programming languages. James currently works in a Windows shop coding primarily in C#, but with his background in cross-platform development, he often gets tapped to deal with any *IX boxes that enter his environment.
Bibliographische Angaben
- Autor: Jim Lehmer
- 2023, XXV, 254 Seiten, Masse: 17,8 x 23,6 cm, Kartoniert (TB), Englisch
- Verlag: O'Reilly Media
- ISBN-10: 1098152271
- ISBN-13: 9781098152277
Sprache:
Englisch
Kommentar zu "Fuzzy Data Matching with SQL"
0 Gebrauchte Artikel zu „Fuzzy Data Matching with SQL“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Fuzzy Data Matching with SQL".
Kommentar verfassen