Fr. 80.00

Fuzzy Data Matching with SQL - Enhancing Data Quality and Query Performance

English · Paperback / Softback

Shipping usually within 3 to 5 weeks

Description

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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.

About the author










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.

Product details

Authors Jim Lehmer
Publisher O'Reilly
 
Languages English
Product format Paperback / Softback
Released 31.10.2023
 
EAN 9781098152277
ISBN 978-1-09-815227-7
Dimensions 178 mm x 232 mm x 15 mm
Weight 666 g
Subjects Natural sciences, medicine, IT, technology > IT, data processing > Programming languages

Data Warehousing, database programming, information architecture, Database design and theory, COMPUTERS / Data Science / Data Modeling & Design, Programming and scripting languages: general, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Languages / SQL

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