Items related to Fuzzy Data Matching with SQL: Enhancing Data Quality...
- PublisherO'Reilly Media
- Publication date2023
- ISBN 10 1098152271
- ISBN 13 9781098152277
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages282
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Fuzzy Data Matching with SQL: Enhancing Data Quality and Query Performance
Published by
O'Reilly Media (edition 1), 2023
ISBN 10: 1098152271
ISBN 13: 9781098152277
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Fuzzy Data Matching With SQL: Enhancing Data Quality and Query Performance
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Oreilly & Associates Inc, 2023
ISBN 10: 1098152271
ISBN 13: 9781098152277
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Fuzzy Data Matching With SQL : Enhancing Data Quality and Query Performance
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Fuzzy Data Matching with SQL: Enhancing Data Quality and Query Performance (Paperback or Softback)
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O'Reilly Media 11/7/2023, 2023
ISBN 10: 1098152271
ISBN 13: 9781098152277
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Fuzzy Data Matching with SQL: Enhancing Data Quality and Query Performance [Paperback] Lehmer, Jim
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Fuzzy Data Matching with SQL
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Fuzzy Data Matching with SQL
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Fuzzy Data Matching with SQL (Paperback)
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O'Reilly Media, Sebastopol, 2023
ISBN 10: 1098152271
ISBN 13: 9781098152277
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Paperback. Condition: new. Paperback. 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" 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781098152277
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