Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Da: medimops, Berlin, Germania
EUR 9,05
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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.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 24,38
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Da: Lakeside Books, Benton Harbor, MI, U.S.A.
EUR 23,17
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Da: California Books, Miami, FL, U.S.A.
EUR 29,84
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 27,50
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 35,74
Quantità: 15 disponibili
Aggiungi al carrelloCondizione: New. Num Pages: 300 pages, biography. BIC Classification: KJ; KJMV3; UGK; UNF; UNH. Category: (P) Professional & Vocational. Dimension: 235 x 155. . . 2016. 1st ed. Paperback. . . . .
Da: Revaluation Books, Exeter, Regno Unito
EUR 39,31
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 279 pages. 9.00x6.00x0.75 inches. In Stock.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 34,28
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 37,71
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Aggiungi al carrelloCondizione: New. In English.
Condizione: New. Num Pages: 300 pages, biography. BIC Classification: KJ; KJMV3; UGK; UNF; UNH. Category: (P) Professional & Vocational. Dimension: 235 x 155. . . 2016. 1st ed. Paperback. . . . . Books ship from the US and Ireland.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 36,86
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Condizione: New. pp. 300.
EUR 32,41
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New.
Da: preigu, Osnabrück, Germania
EUR 36,90
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Disruptive Analytics | Charting Your Strategy for Next-Generation Business Analytics | Thomas W. Dinsmore | Taschenbuch | xvii | Englisch | 2016 | Apress | EAN 9781484213124 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 31,88
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 37,44
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Learn all you need to know about seven key innovations disrupting business analytics today. These innovations-the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics-are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities.Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization.Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today.What You'll LearnDiscover how the open source business model works and how to make it work for youSee how cloud computing completely changes the economics of analyticsHarness the power of Hadoop and its ecosystemFind out why Apache Spark is everywhereDiscover the potential of streaming and real-time analyticsLearn what Deep Learning can do and why it mattersSee how self-service analytics can change the way organizations do businessWho This Book Is ForCorporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants. 284 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 59,20
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 300.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 58,85
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 300.
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 37,44
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Learn all you need to know about seven key innovations disrupting business analytics today. These innovations¿the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics¿are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities.Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization.Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today.What You'll LearnDiscover how the open source business model works and how to make it work for youSee how cloud computing completely changes the economics of analyticsHarness the power of Hadoop and its ecosystemFind out why Apache Spark is everywhereDiscover the potential of streaming and real-time analyticsLearn what Deep Learning can do and why it mattersSee how self-service analytics can change the way organizations do businessSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 38,62
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn all you need to know about seven key innovations disrupting business analytics today. These innovations-the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics-are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities.Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization.Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today.What You'll LearnDiscover how the open source business model works and how to make it work for youSee how cloud computing completely changes the economics of analyticsHarness the power of Hadoop and its ecosystemFind out why Apache Spark is everywhereDiscover the potential of streaming and real-time analyticsLearn what Deep Learning can do and why it mattersSee how self-service analytics can change the way organizations do businessWho This Book Is ForCorporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.