This book provides a classification of the various types of profilable metadata, discusses popular data profiling tasks,and surveys state-of-the-art profiling algorithms. While most of the book focuses on tasks and algorithms for relational data profiling, we also briefly discuss systems and techniques for profiling non-relational data such as graphs and text. We conclude with a discussion of data profiling challenges and directions for future work in this area.
This book provides a classification of the various types of profilable metadata, discusses popular data profiling tasks,and surveys state-of-the-art profiling algorithms. While most of the book focuses on tasks and algorithms for relational data profiling, we also briefly discuss systems and techniques for profiling non-relational data such as graphs and text. We conclude with a discussion of data profiling challenges and directions for future work in this area.

Data Profiling
136
Data Profiling
136Paperback
Product Details
ISBN-13: | 9783031007378 |
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Publisher: | Springer International Publishing |
Publication date: | 11/08/2018 |
Series: | Synthesis Lectures on Data Management |
Pages: | 136 |
Product dimensions: | 7.52(w) x 9.25(h) x (d) |