Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

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

by Jim Lehmer
Save 34% Save 34%
Current price ₹4,117.00
Original price ₹6,239.00
Original price ₹6,239.00
Original price ₹6,239.00
(-34%)
₹4,117.00
Current price ₹4,117.00

Imported Edition - Ships in 12-14 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9781098152277
  • Binding: Paperback
  • Subject: N/A
  • Publisher: O'Reilly Media
  • Publisher Imprint: O'Reilly Media
  • Publication Date:
  • Pages: 250
  • Original Price: GBP 47.99
  • Language: English
  • Edition: N/A
  • Item Weight: 454 grams
  • BISAC Subject(s): Languages / SQL, Data Science / Data Modeling & Design, and Data Science / Data Warehousing

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

Lehmer, Jim: - "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."

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us