9783031007378 - data profiling di abedjan, ziawasch; golab, lukasz; naumann, felix; papenbrock, thorsten (14 risultati)
Data Profiling (Synthesis Lectures on Data Management)
Abedjan, Ziawasch; Golab, Lukasz; Naumann, Felix; Papenbrock, Thorsten
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In English.
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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EUR 57,83
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PF. Condizione: New.
Data Profiling (Synthesis Lectures on Data Management)
Abedjan, Ziawasch; Golab, Lukasz; Naumann, Felix; Papenbrock, Thorsten
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 79,59
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 73,40
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Condizione: New.
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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EUR 92,31
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Condizione: New.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 58,84
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Altre immagini- Brossura
Da: preigu, Osnabrück, Germaniapreigu
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EUR 54,90
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Taschenbuch. Condizione: Neu. Data Profiling | Ziawasch Abedjan (u. a.) | Taschenbuch | Synthesis Lectures on Data Management | xv | Englisch | 2018 | Springer | EAN 9783031007378 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: p…reigu.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 50,23
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Condizione: new. Questo è un articolo print on demand.
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- Print on Demand
Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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EUR 61,79
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 unfam…iliar 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. 156 pp. Englisch.
Data Profiling (Synthesis Lectures on Data Management)
Abedjan, Ziawasch; Golab, Lukasz; Naumann, Felix; Papenbrock, Thorsten
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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 80,40
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Condizione: New. Print on Demand.
Data Profiling (Synthesis Lectures on Data Management)
Abedjan, Ziawasch; Golab, Lukasz; Naumann, Felix; Papenbrock, Thorsten
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- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 80,75
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Condizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2018
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 e…xplore an unfamiliar dataset or to det.
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- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 58,84
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 unfamilia…r 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 156 pp. Englisch.
