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 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

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  • Author : Charles Tupper
  • Publisher : Elsevier
  • Pages : 448 pages
  • ISBN : 9780123851277
  • Rating : 1/5 from 1 reviews
CLICK HERE TO GET THIS BOOKData Architecture

Data Architecture

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

Data Architecture: A Primer for the Data Scientist

Data Architecture: A Primer for the Data Scientist
  • Author : W.H. Inmon,Daniel Linstedt
  • Publisher : Morgan Kaufmann
  • Release : 26 November 2014
GET THIS BOOKData Architecture: A Primer for the Data Scientist

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

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 BOOKData, 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: 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
GET THIS BOOKData Architecture: A Primer for the Data Scientist

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

Agile Data Warehousing for the Enterprise

Agile Data Warehousing for the Enterprise
  • Author : Ralph Hughes
  • Publisher : Newnes
  • Release : 19 September 2015
GET THIS BOOKAgile Data Warehousing for the Enterprise

Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. Quality assurance advances with not

Data Management at Scale

Data Management at Scale
  • Author : Piethein Strengholt
  • Publisher : "O'Reilly Media, Inc."
  • Release : 29 July 2020
GET THIS BOOKData Management at Scale

As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and

Salesforce Data Architecture and Management

Salesforce Data Architecture and Management
  • Author : Ahsan Zafar
  • Publisher : Packt Publishing Ltd
  • Release : 30 July 2021
GET THIS BOOKSalesforce Data Architecture and Management

Learn everything you need to become a successful data architect on the Salesforce platform Key Features Adopt best practices relating to data governance and learn how to implement them Learn how to work with data in Salesforce while maintaining scalability and security of an instance Gain insights into managing large data volumes in Salesforce Book Description As Salesforce orgs mature over time, data management and integrations are becoming more challenging than ever. Salesforce Data Architecture and Management follows a hands-on

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 BOOKGuidance 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 BOOKScalable 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

DAMA-DMBOK

DAMA-DMBOK
  • Author : Dama International
  • Publisher : Unknown Publisher
  • Release : 21 May 2022
GET THIS BOOKDAMA-DMBOK

Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with

Software Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud
  • Author : Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim
  • Publisher : Morgan Kaufmann
  • Release : 12 June 2017
GET THIS BOOKSoftware Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied

Data Architecture

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

Modern Big Data Architectures

Modern Big Data Architectures
  • Author : Dominik Ryzko
  • Publisher : John Wiley & Sons
  • Release : 09 April 2020
GET THIS BOOKModern Big Data Architectures

Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together. A multi-agent system (MAS) is a self-organized computer system that

Architecting Modern Data Platforms

Architecting Modern Data Platforms
  • Author : Jan Kunigk,Ian Buss,Paul Wilkinson,Lars George
  • Publisher : "O'Reilly Media, Inc."
  • Release : 05 December 2018
GET THIS BOOKArchitecting Modern Data Platforms

There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’

Big Data Architect’s Handbook

Big Data Architect’s Handbook
  • Author : Syed Muhammad Fahad Akhtar
  • Publisher : Packt Publishing Ltd
  • Release : 21 June 2018
GET THIS BOOKBig Data Architect’s Handbook

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured data Book Description The big data architects are the “masters” of data, and hold high value in today’s market. Handling big data, be it of good or bad quality, is not