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Data Architecture

Data Architecture Book
Author : Charles Tupper
Publisher : Morgan Kaufmann Pub
Release : 2011
ISBN : 9780123851260
Language : En, Es, Fr & De

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Book Description :

Data is an expensive and expansive asset. Information hunger has forced retention capacity from megabytes to terabytes of data. Millions of dollars are spent accumulating data, and millions more are paid to the professional staff that nurture, secure, and extract information out of these billions of bytes of data. To ensure that it is usable, data must be structured in a flexible manner that is responsive to change, and is readily available for access. This book explains the principles underlying data architecture, how data evolves with organizations, the challenges organizations face in structuring and managing data, and the proven methods and technologies to solve these complex issues. The author takes a holistic approach to the field of data architecture from various applied perspectives, including data modeling, data quality, enterprise information management, database design, data warehousing, and data governance. Key Features Explains the fundamental concepts of enterprise architecture through definitions and real-world scenarios Teaches data managers and planners how to build a data architecture roadmap, structure the right team, and build a set of solutions for the various challenges they face Offers concise case studies that highlight how fundamental principles are put into practice.

Scalable Big Data Architecture

Scalable Big Data Architecture Book
Author : Bahaaldine Azarmi
Publisher : Apress
Release : 2015-12-31
ISBN : 1484213262
Language : En, Es, Fr & De

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Book Description :

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 demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution. When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it’s often necessary to delegate the load to Hadoop or Spark and use the No-SQL to serve processed data in real time. This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on. Traditional data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book helps you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints imposed by dealing with the high throughput of Big data. Scalable Big Data Architecture is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a Big Data project and which tools to integrate into that pattern.

Data Architecture

Data Architecture Book
Author : Charles Tupper
Publisher : Elsevier
Release : 2011-05-09
ISBN : 9780123851277
Language : En, Es, Fr & De

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Book Description :

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

Salesforce Data Architecture and Management

Salesforce Data Architecture and Management Book
Author : Ahsan Zafar
Publisher : Packt Publishing Ltd
Release : 2021-07-30
ISBN : 1801076901
Language : En, Es, Fr & De

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Book Description :

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 approach to managing data and tracking the performance of your Salesforce org. You'll start by understanding the role and skills required to become a successful data architect. The book focuses on data modeling concepts, how to apply them in Salesforce, and how they relate to objects and fields in Salesforce. You'll learn the intricacies of managing data in Salesforce, starting from understanding why Salesforce has chosen to optimize for read rather than write operations. After developing a solid foundation, you'll explore examples and best practices for managing your data. You'll understand how to manage your master data and discover what the Golden Record is and why it is important for organizations. Next, you'll learn how to align your MDM and CRM strategy with a discussion on Salesforce's Customer 360 and its key components. You'll also cover data governance, its multiple facets, and how GDPR compliance can be achieved with Salesforce. Finally, you'll discover Large Data Volumes (LDVs) and best practices for migrating data using APIs. By the end of this book, you'll be well-versed with data management, data backup, storage, and archiving in Salesforce. What you will learn Understand the Salesforce data architecture Explore various data backup and archival strategies Understand how the Salesforce platform is designed and how it is different from other relational databases Uncover tools that can help in data management that minimize data trust issues in your Salesforce org Focus on the Salesforce Customer 360 platform, its key components, and how it can help organizations in connecting with customers Discover how Salesforce can be used for GDPR compliance Measure and monitor the performance of your Salesforce org Who this book is for This book is for aspiring architects, Salesforce admins, and developers. You will also find the book useful if you're preparing for the Salesforce Data Architecture and Management exam. A basic understanding of Salesforce is assumed.

Guidance for Developing a Freight Transportation Data Architecture

Guidance for Developing a Freight Transportation Data Architecture Book
Author : César Augusto Quiroga
Publisher : Transportation Research Board
Release : 2011
ISBN : 0309155231
Language : En, Es, Fr & De

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Book Description :

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 architecture definition that is scalable at the national, state, regional, and local levels; and offers readers a better understanding of the challenges that might block the implementation of a national freight data architecture as well as candidate strategies for developing, adopting, and maintaining it--

Data Architecture A Primer for the Data Scientist

Data Architecture  A Primer for the Data Scientist Book
Author : W.H. Inmon,Daniel Linstedt,Mary Levins
Publisher : Academic Press
Release : 2019-04-30
ISBN : 0128169176
Language : En, Es, Fr & De

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Book Description :

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 Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together. New case studies include expanded coverage of textual management and analytics New chapters on visualization and big data Discussion of new visualizations of the end-state architecture

Data Architecture and the Experience of Place

Data  Architecture and the Experience of Place Book
Author : Anastasia Karandinou
Publisher : Routledge
Release : 2018-11-12
ISBN : 1351139312
Language : En, Es, Fr & De

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Book Description :

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. Different disciplines collaborate with scientists to visualise data in different and creative ways, revealing new connections, interpretations and readings. This often demonstrates a genuine desire to comprehend human behaviour and experience and to – possibly – inform design processes accordingly. At the same time, this opens up questions as to why this desire and curiosity is emerging now, how it relates to recent technological advances and how it converses with the cultural, philosophical and methodological context of the disciplines with which it engages. Questions are also raised as to how the use of data and data-informed methods may serve, support, promote and/or challenge political agendas. Data, Architecture and the Experience of Place provides an overview of new approaches on this significant subject and is ideal for students and researchers in digital architecture, architectural theory, design, digital media, sensory studies and related fields.

Enterprise Data Architecture How to navigate its landscape

Enterprise Data Architecture  How to navigate its landscape Book
Author : Dave Knifton
Publisher : Paragon Publishing
Release : 2014-10-16
ISBN : 1782223266
Language : En, Es, Fr & De

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Book Description :

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 this if it knows nothing about where you are now, or where you want to be? It can, because by leveraging its principles you will discover how to create optimised potential routes to achieve your own Data Architectural objectives. Basic building blocks, concepts and models are defined, enabling you to create new or adapt existing frameworks appropriate for any data landscape. Practical tips and suggestions are also detailed throughout, helping you gain immediate improvements from the way you work and enhance the benefits your organisation can derive from its data. So if you are a Data Architect or deal with data in your organisation and want to learn how to transform the positive yield from its data, then this book is a must read for you! “David has been there and dealt with the issues, which is why this book is an outstanding resource for Data Architects and indeed anyone dealing with the serious challenges of an enterprise data landscape.” – Richard Rendell, Technical Services Director, AgeSmart “An essential read for anyone wishing to practically achieve more benefit from data for their organisation within today’s constraints.” – Reem Zahran - Director, Offering Development, IMS Health “This book provides a comprehensive set of tools enabling you to improve the business outcomes from your organisation’s use of data.” – Andrew Rowland, Global Head Database Engineering, UBS This book is an essential read for Data Architects or indeed anyone wanting to improve the benefit that their organisation can derive from its data usage. It does this by providing principles and models that are appropriate to use within any framework, or even the absence of one. The book is designed to be practical and contains many tips and suggestions as well as examples that can be used as the basis for the reader's own Data Architectural definitions. The breadth of the book covers contemporary themes for Data Architecture and the chapters include; Data Modelling, Enterprise Data Models, Data Governance, Master Data Management and Big Data

Latest Salesforce Certified Data Architecture and Management Designer Exam Questions Answers

Latest Salesforce Certified Data Architecture and Management Designer Exam Questions   Answers Book
Author : Pass Exam
Publisher : Pass Exam
Release : 2021-09-18
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

- This is the latest practice test to pass the Salesforce Certified Data Architecture and Management Designer Exam. - It contains 120 Questions and Answers. - All the questions are 100% valid and stable. - You can reply on this practice test to pass the exam with a good mark and in the first attempt.

Data Architecture

Data Architecture Book
Author : William H. Inmon
Publisher : Unknown
Release : 1992
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Data Architecture book written by William H. Inmon, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Documentation of South Dakota s ITS CVO Data Architecture

Documentation of South Dakota s ITS CVO Data Architecture Book
Author : Edward S. Fekpe
Publisher : Unknown
Release : 1999
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Documentation of South Dakota s ITS CVO Data Architecture book written by Edward S. Fekpe, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Database Architecture Design Memory to Storage using DB2

Database Architecture Design     Memory to Storage using DB2 Book
Author : Lawrence Dunn
Publisher : Dominion Publishing
Release : 2016-04-14
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

It continues to amaze me on the number of corporations running data-based applications on DB2 who view it as a black-box that simply houses their application data. This disconnect with the importance of properly designed and more importantly…configured…data bases leads to application error, lowered customer satisfaction, drastically decreased potential being proactive with KPI’s and increased hardware and support costs. This disconnect is so prevalent, that many organizations assume that the solution to a badly performing database is adding a score of new indexes, buying more memory or worse going through a massive conversion/upgrade effort with a new product. Capital expenditure on additional memory and storage for a database that simply needs to be properly configured for its’ workload is something that I see various companies do every year and it’s a massive waste of shareholder equity. In a previous life, I was responsible for capacity planning with Procter & Gamble’s technical infrastructure. Following the Pareto Principle (i.e., 80 /20 rule), the first thing that I did was identify which portion of the infrastructure was responsible for the highest costs in support, licensing and new expenditures. Three IBM 3090 mainframes jumped out with the highest costs so I initially placed my focus there. Looking at daily workloads of each environment what became apparent was that the utilization between each machine ran a little over 40%. This was a massive waste of resources. So I simply rebalanced the workload, dividing processing between two machines and eliminating the third. This simple act of effectively spreading workload utilization saved P&G $2M/year. The workload within a DB2 database can also be effectively spread with an effective buffer pool and storage strategy. This will drastically improve overall performance, eliminating the need to acquire additional memory and lowering support costs. I’ve been in numerous pre-sales situations were a client will sign a contract to purchase a data based application and as the ink is drying they will then ask architecture questions that they should have addressed beforehand: · What type of DB2 license should we buy? · How much memory will we need? · How much storage? · What kind of storage? · How many LUNs will we need to configure? · How many CPU’s will we need? These are all very relevant questions that should be addressed…before…making the decision to purchase a shiny new data based application. However, in my experience the key after the fact question that is rarely asked is, “What type of performance should I expect?” In my experience performance is seldom discussed during project startup, but it is…always…brought up once the application is in production. The issue as I stated earlier, is that many technical professionals view DB2 as a black-box in that they are only concerned with…space. With this fixated view they look at the potential size of the database to figure out how much storage to purchase. Then the storage size is used to guestimate the amount of memory and CPU that should be required. The assumption is made that adequately estimating hardware based on database size will also equate into having adequate performance. This is a woefully inadequate assumption that will lead to subpar performance in your production environment. This white paper will illustrate via a case study the benefits of completing a database architecture design as one of the first project deliverables that contains the database configuration parameters, bufferpool design, tablespace design, LUN design, and device/file design. This will ensure optimal database performance and low capital expenditures for your project.

XML for Data Architects

XML for Data Architects Book
Author : James Bean
Publisher : Elsevier
Release : 2003-07-09
ISBN : 9780080521435
Language : En, Es, Fr & De

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Book Description :

"The book addresses a sorely missing set of considerations in the real world... This is a very timely book." -Peter Herzum, author of Business Component Factory and CEO of Herzum Software XML is a tremendous enabler for platform agnostic data and metadata exchanges. However, there are no clear processes and techniques specifically focused on the engineering of XML structures to support reuse and integration simplicity, which are of particular importance in the age of application integration and Web services. This book describes the challenges of using XML in a manner that promotes simplification of integration, and a high degree of schema reuse. It also describes the syntactical capabilities of XML and XML Schemas, and the similarities (and in some cases limitations) of XML DTDs. This book presents combinations of architectural and design approaches to using XML as well as numerous syntactical and working examples. * Designed to be read three different ways: skim the margin notes for quick information, or use tables in the appendix to locate sections relevant the to a particular issue, or read cover-to-cover for the in-depth treatment. * Contains numerous tables that describe datatypes supported by the most common DBMSs and map to XML Schema supported data types. * Unique focus on the value added role and processes of the data architect as they apply to enterprise use of XML.

Data Modeling Made Simple with ER Studio Data Architect

Data Modeling Made Simple with ER Studio Data Architect Book
Author : Steve Hoberman
Publisher : Technics Publications
Release : 2015-11-06
ISBN : 1634620941
Language : En, Es, Fr & De

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Book Description :

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.

The Enterprise Data Model

The Enterprise Data Model Book
Author : Andy Graham
Publisher : Koios Associates Limited
Release : 2012-05
ISBN : 9780956582911
Language : En, Es, Fr & De

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Book Description :

Wouldn't it be great to understand all the data in your organisation? Just imagine being able to define, agree and manage information concepts that impact on business strategy? Then image that these information concepts can be linked to the physical database attributes that ultimately are used to create them. That's what this book is about. It focuses on the data model as the foundation for achieving this understanding. This book provides a framework for the enterprise data model, the business reasons behind it and the differences between conceptual, logical and physical data models. The question of how, and why, to use a data model artifact as part of the data governance toolkit for the whole enterprise is also addressed. This publication is not an in-depth manual on how to model data for a new database system or your next design project. It instead focuses at a level above these implementation projects and addresses the issues that organisations typical struggling with such as: * How do we provide a framework within which we can manage our data assets? * How do we develop applications that adhere to a set of data standards; without creating a nightmare of administration and governance that is both unwieldy and unusable? * How can we get business value from our enterprise data? Chapter headings are: * Chapter 1 - Introduction * Chapter 2 - Information and Data * Chapter 3 - Pillars of Value * Chapter 4 - An Overview of Data Modelling * Chapter 5 - Data Architecture * Chapter 6 - The Enterprise Data Model * Chapter 7 - Build the Model one Project at a Time * Chapter 8 - Master Data * Chapter 9 - Data Governance * Chapter 10 - The Enterprise Data Framework This 2nd edition revises the original text to add extra details around key areas such as the enterprise data model framework and the pillars of value. It also improves the quality of the original text.

Modern Data Strategy

Modern Data Strategy Book
Author : Mike Fleckenstein,Lorraine Fellows
Publisher : Springer
Release : 2018-03-13
ISBN : 3319689932
Language : En, Es, Fr & De

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Book Description :

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 data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.

Modern Big Data Architectures

Modern Big Data Architectures Book
Author : Dominik Ryzko
Publisher : John Wiley & Sons
Release : 2020-03-31
ISBN : 1119597846
Language : En, Es, Fr & De

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Book Description :

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 comprises multiple intelligent agents interacting to solve problems that are beyond the capacities of individual agents. Modern Big Data Architectures examines modern concepts and architecture for Big Data processing and analytics. This unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets. Each chapter contains practical examples and detailed solutions suitable for a wide variety of applications. The author, an internationally-recognized expert in Big Data and distributed Artificial Intelligence, demonstrates how base concepts such as agent, actor, and micro-service have reached a point of convergence—enabling next generation systems to be built by incorporating the best aspects of the field. This book: Illustrates how data sets are produced and how they can be utilized in various areas of industry and science Explains how to apply common computational models and state-of-the-art architectures to process Big Data tasks Discusses current and emerging Big Data applications of Artificial Intelligence Modern Big Data Architectures: A Multi-Agent Systems Perspective is a timely and important resource for data science professionals and students involved in Big Data analytics, and machine and artificial learning.

Data Governance and Data Management

Data Governance and Data Management Book
Author : Rupa Mahanti
Publisher : Springer Nature
Release : 2021-09-18
ISBN : 9811635838
Language : En, Es, Fr & De

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Book Description :

Download Data Governance and Data Management book written by Rupa Mahanti, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Data Diplomacy Keeping Peace and Avoiding Data Governance Bureaucracy

Data Diplomacy  Keeping Peace and Avoiding Data Governance Bureaucracy Book
Author : Håkan Edvinsson
Publisher : Technics Publications
Release : 2019-12-02
ISBN : 1634626788
Language : En, Es, Fr & De

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Book Description :

Successful data governance requires replacing governance with diplomacy. This book is your guide to applying a lean and friendly yet proven approach to data governance and data design by leveraging your existing workforce, and allowing these data workers to create and sustain a data smart organization. “The time has come for Data Diplomacy. Håkan Edvinsson describes DD as the way to engage everybody as data workers and to assist them with the data responsibilities associated with their business functions. The concept of Non-Coercive Data Governance as a core tenet of Data Diplomacy echoes from the practical nature of Non-Invasive Data Governance. Read this book and consider how diplomacy will make sense in your organization.” Robert S. Seiner, President & Principal, KIK Consulting/TDAN.com Learn the diplomacy techniques and approach to align and unite the organization when facing challenges and taking on bold initiatives. Use a “getting things right from start” strategy for having the data correct enough to meet business needs. Become adept at facilitating business representatives to take responsibility to determine what the data should look like, what it should be called, and how it is connected. "This is a refreshing approach to Data Governance. If you feel stuck, it might be time to add a touch of diplomacy in your game..." Karima Makrof, Data Governance Manager at Volvo Cars This book is primarily intended for CIO’s, CDO’s, chief architects, data strategists, data governance leads, and data architects. It is for anyone who is struggling with data quality, data accountability, and the concept of data as a valuable asset. It is for those who seek a second generation of data governance, when the first generation was riddled by formality or just did not take off. The book is written for those who are in the frontline of the quest for data improvement, and covers these four topics: Chapter 1 introduces the concept of data diplomacy and illustrates it through a set of real-life cases where diplomacy played a crucial part. Chapter 2 covers the four arenas for performing diplomatic data governance and describes the activities that go on in each arena. Chapter 3 details the minimum set of roles that are needed when instituting data governance using a diplomatic approach. Chapter 4 is your toolbox as the data diplomat, containing various tips and techniques including the “Five Running Guys”.

Architects Data

Architects  Data Book
Author : Ernst Neufert,Peter Neufert,Johannes Kister
Publisher : John Wiley & Sons
Release : 2012-03-26
ISBN : 1405192534
Language : En, Es, Fr & De

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Book Description :

This text is an essential aid in the initial design and planning of a building project. Organised largely by building type, it covers user requirements, planning criteria, basic dimensions and considerations of function and siting.