ENGLISH

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

By Jim Lehmer

Book information

Publisher
O'Reilly Media
Year
2023
ISBN
9781098152277
Language
english
Format
EPUB
Filesize
2 MB (2174854 bytes)
Pages
282\0
Orientation
landscape
Paginated
yes
Scanned
no
Time added
2023-10-06 06:57:56

Description

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. Full of real-world techniques, the examples in the book contain working code. You'll learn how to: Identity and remove duplicates in two different datasets using SQLRegularize data and achieve data quality using SQLExtract data from XML and JSONGenerate SQL...

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