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Managing Data In Motion Data Integration Best Practice Techniques and Technologies

Name: Managing Data In Motion
Author: April Reeve

Auteur: April Reeve

Taal: Engels

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Auteur: April Reeve

Engels
Paperback
9780123971678
25 april 2013
204 pagina's

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Samenvatting

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment.

The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired.

The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects.

Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types
Explains, in non-technical terms, the architecture and components required to perform data integration
Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"

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Taal: en
Bindwijze: Paperback
Oorspronkelijke releasedatum: 25 april 2013
Aantal pagina's: 204
Illustraties: Met illustraties

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Hoofdauteur: April Reeve
Hoofduitgeverij: MORG

Overige kenmerken

Extra groot lettertype: Nee
Product breedte: 191 mm
Product lengte: 234 mm
Studieboek: Nee
Verpakking breedte: 190 mm
Verpakking hoogte: 233 mm
Verpakking lengte: 14 mm
Verpakkingsgewicht: 419 g

EAN

EAN: 9780123971678

Je vindt dit artikel in

Categorieën: Computers & Informatica

Managementboeken

Bedrijfsapplicaties

Databases

Digitale media-applicaties

Programmeren

Ondernemingssoftware

Dataverwerking & data-analyse

Database programmeren

Boeken
Taal: Engels
Beschikbaarheid: Leverbaar
Boek, ebook of luisterboek?: Boek
Studieboek of algemeen: Algemene boeken

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