E-Books →Fuzzy Data Matching with SQL Enhancing Data Quality and Query Performance

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