Data Profiling - Felix Naumann,Thorsten Papenbrock,Ziawasch Abedjan,Lukasz Golab
-25% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
Data profiling refers to the activity of collecting data about data, {i.e.}, metadata. Most IT professionals and researchers who work with data have engaged in data profiling, at least informally, to understand and explore an unfamiliar dataset or to determine whether a new dataset is appropriate for a particular task at hand. Data profiling results are also important in a variety of other situations, inclu ... Täydellinen kuvaus
Saatat myös pitää
TOP
The Demon-Haunted World: Science as a Candle in the Dark
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Many Faces, One Purpose: A Managers Handbook on Women in Firefighting
U. S. Fire Administration, Homeland Security
-25% koodilla BOOKS
Loppu
TOP
The Gulf Moment: Arab Relations Since 2011
Florence Gaub, U. S. Army War College, Strategic Studies Institute
-25% koodilla BOOKS
Loppu
TOP
How Africa Works: Success and Failure on the World's Last Developmental Frontier
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Introduction to Algorithms
Ronald L. Rivest, Charles E. Leiserson, Clifford Stein, Thomas H. Cormen
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Unaccountability Machine: Why Big Systems Make Terrible Decisions
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Dinosaurs and Prehistoric Life: The Definitive Visual Guide to Prehistoric Animals
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Crossing Borders: About the birth of the Consortium of European Research Libraries, the organisation's early years and its path to maturity, spanning the period from the late twentieth century to the first decades of the twenty-first century
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Cybernetics: Second Edition: Or the Control and Communication in the Animal and the Machine
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Thinking in Systems: International Bestseller
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
101 Things I Learned in Architecture School
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Einhundert Zitate Female Edition: Ein Postkartenbuch mit 100 Zitaten
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Architektur Berlin, Bd. 15 | Building Berlin, Vol. 15: Baukultur in und aus der Hauptstadt | The latest architecture in and out of the capital
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Only Dull People Are Brilliant at Breakfast
-24% koodilla BOOKS
Toimittajalla varastossa
Cook This Book: Techniques That Teach and Recipes to Repeat: A Cookbook
-25% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
Data profiling refers to the activity of collecting data about data, {i.e.}, metadata. Most IT professionals and researchers who work with data have engaged in data profiling, at least informally, to understand and explore an unfamiliar dataset or to determine whether a new dataset is appropriate for a particular task at hand. Data profiling results are also important in a variety of other situations, including query optimization, data integration, and data cleaning. Simple metadata are statistics, such as the number of rows and columns, schema and datatype information, the number of distinct values, statistical value distributions, and the number of null or empty values in each column. More complex types of metadata are statements about multiple columns and their correlation, such as candidate keys, functional dependencies, and other types of dependencies. 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.
Lisätietoja
| Kirjoittaja | Felix Naumann, Thorsten Papenbrock, Ziawasch Abedjan, Lukasz Golab |
|---|---|
| Julkaisija | Springer International Publishing |
| Series | Synthesis Lectures on Data Management |
| Julkaisuvuosi | 2018 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783031007378 |