logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Fuzzy Data Matching With Sql Jim Lehmer

  • SKU: BELL-230226156
Fuzzy Data Matching With Sql Jim Lehmer
$ 31.00 $ 45.00 (-31%)

5.0

88 reviews

Fuzzy Data Matching With Sql Jim Lehmer instant download after payment.

Publisher: O'Reilly Media
File Extension: EPUB
File size: 2.07 MB
Author: Jim Lehmer
Language: English
Year: 2023

Product desciption

Fuzzy Data Matching With Sql Jim Lehmer by Jim Lehmer instant download after payment.

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...
  • Related Products