Big data primer (30 resultados)

Condición: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Condición: very_good.

Paperback. Condición: Near Fine. First Edition. CLEAN near fine 2015 paperback.

paperback. Condición: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Condición: new.

Condición: New.

Paperback. Condición: new. New Copy. Customer Service Guaranteed.

tapa blanda. Condición: Bien. Historia.(93) Prisma. Barcelona. 2018. Encuadernación en tapa blanda de editorial. Cubierta deslucida. (=3400825=) JX19.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New. In English.

Condición: New.

Condición: New. pp. 450.

Condición: As New. Unread book in perfect condition.

Condición: New. pp. 450.

Hardback or Cased Book. Condición: New. Big Data: A Primer. Book.

Condición: New. pp. 184.

Hardcover. Condición: Brand New. 2015 edition. 200 pages. 9.50x6.25x0.75 inches. In Stock.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers. …

Paperback. Condición: Brand New. 1st edition. 378 pages. 9.50x7.50x0.75 inches. In Stock.

Taschenbuch. Condición: Neu. Data Architecture: A Primer for the Data Scientist | Big Data, Data Warehouse and Data Vault | W. H. Inmon (u. a.) | Taschenbuch | Englisch | 2014 | Elsevier LTD | EAN 9780128020449 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, nlinfo[at]elsevier[dot]com | Anbieter: preigu. …

Condición: New.

Paperback. Condición: Brand New. reprint edition. 184 pages. 9.25x6.10x1.06 inches. In Stock.

paperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2019-08-01 Pages: 160 Publisher: China Renmin University Press in recent years. big data. artificial intelligence. networking and other technology is moving from concept to reality. these technologies have begun a profound impact on people's lifestyles and business practices. Even for the average person to figure out these concepts are also necessary. Starting from the concept of the book. by illustration .…

Condición: New. Print on Demand pp. 184.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or architecture it can't be used to its full potential. Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist. Drawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems. You'll be able to: Turn textual information into a form that can be analyzed by standard tools. Make the connection between analytics and Big Data Understand how Big Data fits within an existing systems environment Conduct analytics on repetitive and non-repetitive data.…

Condición: New. PRINT ON DEMAND pp. 184.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.