paperback. Condizione: Very Good. Revised ed. Used - Very Good.
EUR 16,36
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Aggiungi al carrelloCondizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
EUR 39,10
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2023
ISBN 10: 1783289082 ISBN 13: 9781783289080
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 41,77
Quantità: Più di 20 disponibili
Aggiungi al carrelloDigital. Condizione: New. Revised ed. The book is styled on a Cookbook, containing recipes - combined with free datasets - which will turn readers into proficient OpenRefine users in the fastest possible way. This book is targeted at anyone who works on or handles a large amount of data. No prior knowledge of OpenRefine is required, as we start from the very beginning and gradually reveal more advanced features. You don't even need your own dataset, as we provide example data to try out the book's recipes.
EUR 36,73
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Aggiungi al carrelloCondizione: New. In.
EUR 44,74
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Aggiungi al carrelloCondizione: New. Über den AutorrnrnRuben Verborgh is a PhD researcher in Semantic Hypermedia. He is fascinated by the Web s immense possibilities and tries to contribute ideas that will maybe someday slightly influence the way the Web changes all of us. His.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2023
ISBN 10: 1783289082 ISBN 13: 9781783289080
Da: Rarewaves.com UK, London, Regno Unito
EUR 37,90
Quantità: Più di 20 disponibili
Aggiungi al carrelloDigital. Condizione: New. Revised ed. The book is styled on a Cookbook, containing recipes - combined with free datasets - which will turn readers into proficient OpenRefine users in the fastest possible way. This book is targeted at anyone who works on or handles a large amount of data. No prior knowledge of OpenRefine is required, as we start from the very beginning and gradually reveal more advanced features. You don't even need your own dataset, as we provide example data to try out the book's recipes.