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

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