Data Architecture

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  • Author : Charles Tupper
  • Publisher : Elsevier
  • Pages : 448 pages
  • ISBN : 9780123851277
  • Rating : 1/5 from 1 reviews
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Download or Read online Data Architecture full in PDF, ePub and kindle. this book written by Charles Tupper and published by Elsevier which was released on 09 May 2011 with total page 448 pages. We cannot guarantee that Data Architecture book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Data Architecture: From Zen to Reality explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing their data. Using a holistic approach to the field of data architecture, the book describes proven methods and technologies to solve the complex issues dealing with data. It covers the various applied areas of data, including data modelling and data model management, data quality, data governance, enterprise information management, database design, data warehousing, and warehouse design. This text is a core resource for anyone customizing or aligning data management systems, taking the Zen-like idea of data architecture to an attainable reality. The book presents fundamental concepts of enterprise architecture with definitions and real-world applications and scenarios. It teaches data managers and planners about the challenges of building a data architecture roadmap, structuring the right team, and building a long term set of solutions. It includes the detail needed to illustrate how the fundamental principles are used in current business practice. The book is divided into five sections, one of which addresses the software-application development process, defining tools, techniques, and methods that ensure repeatable results. Data Architecture is intended for people in business management involved with corporate data issues and information technology decisions, ranging from data architects to IT consultants, IT auditors, and data administrators. It is also an ideal reference tool for those in a higher-level education process involved in data or information technology management. Presents fundamental concepts of enterprise architecture with definitions and real-world applications and scenarios Teaches data managers and planners about the challenges of building a data architecture roadmap, structuring the right team, and building a long term set of solutions Includes the detail needed to illustrate how the fundamental principles are used in current business practice

Data Architecture

Data Architecture
  • Author : Charles Tupper
  • Publisher : Elsevier
  • Release : 09 May 2011
GET THIS BOOK Data Architecture

Data Architecture: From Zen to Reality explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing their data. Using a holistic approach to the field of data architecture, the book describes proven methods and technologies to solve the complex issues dealing with data. It covers the various applied areas of data, including data modelling and data model management, data quality, data governance, enterprise information management, database design, data warehousing, and

Guidance for Developing a Freight Transportation Data Architecture

Guidance for Developing a Freight Transportation Data Architecture
  • Author : César Augusto Quiroga
  • Publisher : Transportation Research Board
  • Release : 21 May 2022
GET THIS BOOK Guidance for Developing a Freight Transportation Data Architecture

TRB's National Freight Cooperative Research Program (NCFRP) Report 9: Guidance for Developing a Freight Transportation Data Architecture explores the requirements and specifications for a national freight data architecture to link myriad existing data sets, identifies the value and challenges of the potential architecture, and highlights institutional strategies to develop and maintain the architecture. The report also includes an analysis of the strengths and weaknesses of a wide range of data sources; provides information on the development of a national freight data

Scalable Big Data Architecture

Scalable Big Data Architecture
  • Author : Bahaaldine Azarmi
  • Publisher : Apress
  • Release : 31 December 2015
GET THIS BOOK Scalable Big Data Architecture

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance. Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications , which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book

Data Architecture A Primer for the Data Scientist

Data Architecture  A Primer for the Data Scientist
  • Author : W.H. Inmon,Daniel Linstedt,Mary Levins
  • Publisher : Academic Press
  • Release : 30 April 2019
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Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second

Enterprise Data Architecture How to navigate its landscape

Enterprise Data Architecture  How to navigate its landscape
  • Author : Dave Knifton
  • Publisher : Paragon Publishing
  • Release : 16 October 2014
GET THIS BOOK Enterprise Data Architecture How to navigate its landscape

Are you looking to make better use of data captured within your organisation or want to learn more about how Data Architecture can transform your operations? Answering these questions is at the very heart of Navigating the Data Architecture Landscape. By reading this book you will learn how to: Introduce or improve the Data Architecture function of your organisation Enhance your skills in this domain to deliver more from your data. You may be wondering how a book can do

Data Architecture and the Experience of Place

Data  Architecture and the Experience of Place
  • Author : Anastasia Karandinou
  • Publisher : Routledge
  • Release : 12 November 2018
GET THIS BOOK Data Architecture and the Experience of Place

The notion of data is increasingly encountered in spatial, creative and cultural studies. Big data and artificial intelligence are significantly influencing a number of disciplines. Processes, methods and vocabularies from sciences, architecture, arts are borrowed, discussed and tweaked, and new cross-disciplinary fields emerge. More and more, artists and designers are drawing on hard data to interpret the world and to create meaningful, sensuous environments. Architects are using neurophysiological data to improve their understanding of people’s experiences in built spaces.

Data Architecture

Data Architecture
  • Author : William H. Inmon
  • Publisher : Unknown
  • Release : 21 May 1989
GET THIS BOOK Data Architecture

In this work, Inmon lays the foundation of an information systems architecture. Inmon first defines the information paradigm and data architecture and then discusses the evolution of the information paradigm and what its implications are. The value of this paradigm is that it lets you: evaluate present systems and opportunities in light of the model, decide upon support tools for different activities that are appropriate throughout the model, and position your organization to support components of the model that are

Data Modeling Made Simple with ER Studio Data Architect

Data Modeling Made Simple with ER Studio Data Architect
  • Author : Steve Hoberman
  • Publisher : Technics Publications
  • Release : 06 November 2015
GET THIS BOOK Data Modeling Made Simple with ER Studio Data Architect

Build a working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. This second edition includes numerous updates and new sections including an overview of ER/Studio’s support for agile development, as well as a description of some of ER/Studio’s newer features for NoSQL, such as MongoDB’s containment structure.

Modern Data Strategy

Modern Data Strategy
  • Author : Mike Fleckenstein,Lorraine Fellows
  • Publisher : Springer
  • Release : 12 February 2018
GET THIS BOOK Modern Data Strategy

This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a

Building and Maintaining a Data Warehouse

Building and Maintaining a Data Warehouse
  • Author : Fon Silvers
  • Publisher : CRC Press
  • Release : 18 March 2008
GET THIS BOOK Building and Maintaining a Data Warehouse

As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is as functional and user-friendly as it is theoreti

Enterprise Architecture for Strategic Management of Modern IT Solutions

Enterprise Architecture for Strategic Management of Modern IT Solutions
  • Author : Tiko Iyamu
  • Publisher : CRC Press
  • Release : 16 March 2022
GET THIS BOOK Enterprise Architecture for Strategic Management of Modern IT Solutions

The popularity of enterprise architecture (EA) has increased in the last two decades, in both business and academic domains. Despite the cumulative interest from all sectors, the implementation and practice of EA have been entangled with numerous challenges and complexities. Consequently, some organisations continue to theorise the concept, which has ramifications on practice and return on investment (ROI). This has led to many studies that have been conducted, to understand the complexities impacting the implementation and practice of EA in

The TOGAF Standard 10th Edition Architecture Development Method

The TOGAF   Standard  10th Edition     Architecture Development Method
  • Author : The Open Group
  • Publisher : Van Haren
  • Release : 24 April 2022
GET THIS BOOK The TOGAF Standard 10th Edition Architecture Development Method

This document is a compilation of three documents within the TOGAF® Standard. It has been developed and approved by The Open Group, and is part of the TOGAF Standard, 10th Edition. The three documents in this set are: • The TOGAF Standard — Architecture Development Method This document describes the TOGAF Architecture Development Method (ADM) — an iterative approach to developing an Enterprise Architecture. • The TOGAF Standard — ADM Techniques This document contains a collection of techniques available for use in applying the TOGAF

Data Management and Data Description

Data Management and Data Description
  • Author : Richard Williams
  • Publisher : Routledge
  • Release : 12 December 2018
GET THIS BOOK Data Management and Data Description

Published in 1992. The author sets out the main issues in Data Management, from the first principles of meta modelling and data description through the comprehensive management exploitation, re-use, valuation, extension and enhancement of data as a valuable organizational resource. Using his recent in-depth experience of a major trans-European project, he highlights data value metrics and provides examples of extended data analysis to assist readers to produce corporate data architectures. The book considers how the techniques of data management can be