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7 Common Myths about the Zachman Architecture Framework

The Zachman Framework is a thinking tool. Its abstract nature has led to the proliferation of some myths that hinder its understanding and adoption. Introduction Widely misunderstood and misrepresented, the Zachman Architecture Framework is simply a thinking tool, not a methodology. Its fundamentally neutral position concerning methodology and implementation is the secret to its power and the reason it has

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Basics of Blockchain Technology

Blockchain is a combination of technology and processes used to allow the recording of transactions and their metadata permanently and with validation. It is an essential component of trusted security operations. Introduction The blockchain technology is a frequently mentioned term when talking about cryptocurrencies. However, many people have little to no idea how it actually works, what it is used

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Data Services as Part of Enterprise Architecture

Data services support the emergence of data offices and data-centric architectures to allow organizations to develop opportunities for improved data management and usage Introduction Data Service is a part of a data-centric architecture. A good data-centric architecture has many benefits and organizations should focus on clarifying the reasons, opportunities and strengths of this architectural style. What is a data service?

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Data Office as Part of Enterprise Architecture

A Data Office has become a reality as part of many organizations’ enterprise architecture frameworks.  A data office can support moving the organization toward a data-centric view for enterprise services and solutions.. Introduction Data Office, data service, data-centric architecture, data governance, chief data officer, etc. are some terms that have become part of the language of data management professionals.  More

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Blockchain and the Cloud: Data Storage 2.0

A shift in technologies will expand traditional methods of data generation, data storage, and data analysis capabilities that will reduce friction and costs, while streamlining processes in many data-intensive industries like insurance. Introduction Part One of this series presented topics about the great volume of new data types, such as data generated by the Internet of Things (IoT), and how

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Foundations of Data Science

Data manipulation, analysis and data management combine with scientific methods, processes, and systems to extract knowledge or insights from large amounts of data Introduction The phrase “data science” is akin to the proverbial elephant and the eight blind men – each one imagining what an “elephant” is by what he feels in the small area to which he has access.

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Data Drives the Digitization of Insurance

Data generated by The Internet of Things is having a major effect on insurance companies’ approaches to enterprise data management Introduction Even before the use of computers, data was at the heart of the insurance business.  Unlike other enterprises that sell a tangible product, insurers sell a promise. In exchange for your premium dollar today, the insurer promises to pay

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Enterprise Architecture Defined

Samuel B. Holcman An enterprise architecture (EA) is a series of conceptual blueprints that defines the structure and operation of an organization to enable strategic progress. Enterprise Architecture (EA) explicitly describes an organization through a set of independent, non-redundant artifacts, defines how these artifacts relate with each other, and develops a set of prioritized, aligned initiatives and roadmaps to understand

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Concepts and Uses of Open Data

The use of open data is becoming more popular. Data management professionals should develop familiarity with the concept, use, and challenges of open data. Introduction The concept of open data is not new, but its use is becoming more prevalent as the availability of sources, and the validity of those sources, grows. Problems often arise because these sources are commercially

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A Continuing Struggle with Enterprise Architecture

Proper enterprise architecture must include business focus and business involvement, and models of business requirements at all levels are needed as well as models for hardware, software, network, data, etc.… Introduction Recently, I received a letter from a friend of mine who was valiantly trying to initiate some architectural activity in a very large enterprise within a very important industry

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