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Añadir al carritoCondición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Librería: AVON HILL BOOKS, Cambridge, MA, Estados Unidos de America
Miembro de asociación: SNEAB
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Añadir al carritoSoftcover. Condición: Fine. Color and b/w illus. ; tall 8vo 9" - 10" tall; 232 pp.
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Añadir al carritoPaperback. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Añadir al carritoCondición: New. . 2016. 1st Edition. Paperback. . . . .
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 3 working days. 416.
Publicado por Manning Publications Company, 2016
ISBN 10: 1617293075 ISBN 13: 9781617293078
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoCondición: New. pp. 275.
Publicado por Manning Publications Dez 2016, 2016
ISBN 10: 1617293075 ISBN 13: 9781617293078
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Teaches techniques for creating effective visualizations.
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Añadir al carritoCondición: New. . 2016. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
Publicado por Manning Publications Company, 2016
ISBN 10: 1617293075 ISBN 13: 9781617293078
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 275.
Publicado por Manning Publications Company, 2016
ISBN 10: 1617293075 ISBN 13: 9781617293078
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritopaperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Publicado por Manning Publications, New York, 2017
ISBN 10: 1617293075 ISBN 13: 9781617293078
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
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Añadir al carritoPaperback. Condición: new. Paperback. One of the most powerful ways to understand data is to recognize theways in which each datumperson, product, etcconnects to another.Visualizing these graphs makes it possible to literally see theconnections. The graph model consists of data elements, called nodes,and edges, which are the relationships between these nodes. Graphsmake the relationships between the data elements a core part of thedata structure, which means you can better comprehend the meaning ofyour data. And visual data is easier for everyone to understand.Visualizing Graph Data teaches readers not only how to build graphdata structures, but also how to create their own dynamic, interactivevisualizations using a variety of tools. This book is loaded withfascinating examples and case studies to show the real-world value ofgraph visualizations. It begins by teaching fundamental graph conceptsand techniques used to visualize graph data. Next, readers drill down tolearn how to create their own useful visualizations, as well asadditional tools. Readers also learn how to model data, create the bestgraphs for their particular audience, handle big data, and depicttemporal and spatial data. By the end of this book, readers know to askthe right questions of data to create powerful visualizations. Key Features: Real-world case studies Teaches techniques for creating effective visualizations Shows fundamental visualization concepts Includes tutorials using the best visualization tools AUDIENCEA basic understanding of RDBMS systems is assumed. No previousknowledge of graph databases required. ABOUT THE TECHNOLOGYThe graph way of thinking about data is becoming more and more popularas people value the relationships between bits of data as much as the datathemselves. Key to understanding the complex structure of connected data isbeing able to visualize those connections. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Manning Publications, New York, 2017
ISBN 10: 1617293075 ISBN 13: 9781617293078
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 91,41
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Añadir al carritoPaperback. Condición: new. Paperback. One of the most powerful ways to understand data is to recognize theways in which each datumperson, product, etcconnects to another.Visualizing these graphs makes it possible to literally see theconnections. The graph model consists of data elements, called nodes,and edges, which are the relationships between these nodes. Graphsmake the relationships between the data elements a core part of thedata structure, which means you can better comprehend the meaning ofyour data. And visual data is easier for everyone to understand.Visualizing Graph Data teaches readers not only how to build graphdata structures, but also how to create their own dynamic, interactivevisualizations using a variety of tools. This book is loaded withfascinating examples and case studies to show the real-world value ofgraph visualizations. It begins by teaching fundamental graph conceptsand techniques used to visualize graph data. Next, readers drill down tolearn how to create their own useful visualizations, as well asadditional tools. Readers also learn how to model data, create the bestgraphs for their particular audience, handle big data, and depicttemporal and spatial data. By the end of this book, readers know to askthe right questions of data to create powerful visualizations. Key Features: Real-world case studies Teaches techniques for creating effective visualizations Shows fundamental visualization concepts Includes tutorials using the best visualization tools AUDIENCEA basic understanding of RDBMS systems is assumed. No previousknowledge of graph databases required. ABOUT THE TECHNOLOGYThe graph way of thinking about data is becoming more and more popularas people value the relationships between bits of data as much as the datathemselves. Key to understanding the complex structure of connected data isbeing able to visualize those connections. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.