Fuzzy Data Matching with SQL (Third Early Release)

[Farid-Khan]

Fuzzy Data Matching With SQL | AUTHOR NAMES HERE | 2023 | O'Reilly Media, Inc |​

BOOK MARKETING DESCRIPTION HERE (This can be supplied by the author, but otherwise the Consumer Short Text from the Marketing tab in the PDB works here - just make sure not to paste curly quotes or em dashes! Replace with straight quotes and hyphens.)
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 SQL
Regularize data and achieve data quality using SQL
Extract data from XML and JSON
Generate SQL using SQL to increase your productivity
Prepare datasets for import, merging, and better analysis using SQL
Report results using SQL
Apply data quality and ETL approaches to finding similarities and differences between various expressions of the same data



Contents of Download:
Fuzzy Data Matching with SQL.epub (2.19 MB)
Fuzzy Data Matching with SQL.mobi (1.21 MB)


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