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Data Cleaning by Venkatesh Ganti (English) Paperback Book

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Last updated on 19 May, 2024 16:35:25 AESTView all revisionsView all revisions

Item specifics

Condition
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9783031007699
Book Title
Data Cleaning
ISBN
9783031007699
Subject Area
Computers
Publication Name
Data Cleaning
Item Length
9.3 in
Publisher
Springer International Publishing A&G
Subject
Information Theory, Online Services
Publication Year
2013
Series
Synthesis Lectures on Data Management Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
Anish Das, Venkatesh Ganti
Item Width
7.5 in
Item Weight
6.5 Oz
Number of Pages
Xv, 69 Pages

About this product

Product Information

Data warehouses consolidate various activities of a business and often form the backbone for generating reports that support important business decisions. Errors in data tend to creep in for a variety of reasons. Some of these reasons include errors during input data collection and errors while merging data collected independently across different databases. These errors in data warehouses often result in erroneous upstream reports, and could impact business decisions negatively. Therefore, one of the critical challenges while maintaining large data warehouses is that of ensuring the quality of data in the data warehouse remains high. The process of maintaining high data quality is commonly referred to as data cleaning.In this book, we first discuss the goals of data cleaning. Often, the goals of data cleaning are not well defined and could mean different solutions in different scenarios. Toward clarifying these goals, we abstract out a common set of data cleaning tasks that often need to be addressed. This abstraction allows us to develop solutions for these common data cleaning tasks. We then discuss a few popular approaches for developing such solutions. In particular, we focus on an operator-centric approach for developing a data cleaning platform. The operator-centric approach involves the development of customizable operators that could be used as building blocks for developing common solutions. This is similar to the approach of relational algebra for query processing. The basic set of operators can be put together to build complex queries. Finally, we discuss the development of custom scripts which leverage the basic data cleaning operators along with relational operators to implement effective solutions for data cleaning tasks.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3031007697
ISBN-13
9783031007699
eBay Product ID (ePID)
24057271019

Product Key Features

Author
Anish Das, Venkatesh Ganti
Publication Name
Data Cleaning
Format
Trade Paperback
Language
English
Subject
Information Theory, Online Services
Publication Year
2013
Series
Synthesis Lectures on Data Management Ser.
Type
Textbook
Subject Area
Computers
Number of Pages
Xv, 69 Pages

Dimensions

Item Length
9.3 in
Item Width
7.5 in
Item Weight
6.5 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Tk5105.5-5105.9
Original Language
English
Table of Content
Preface.- Acknowledgments.- Introduction.- Technological Approaches.- Similarity Functions.- Operator: Similarity Join.- Operator: Clustering.- Operator: Parsing.- Task: Record Matching.- Task: Deduplication.- Data Cleaning Scripts.- Conclusion.- Bibliography.- Authors' Biographies.
Copyright Date
2013
Illustrated
Yes

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