283 data modelling Criteria for Multi-purpose Projects

What is involved in data modelling

Find out what the related areas are that data modelling connects with, associates with, correlates with or affects, and which require thought, deliberation, analysis, review and discussion. This unique checklist stands out in a sense that it is not per-se designed to give answers, but to engage the reader and lay out a data modelling thinking-frame.

How far is your company on its data modelling journey?

Take this short survey to gauge your organization’s progress toward data modelling leadership. Learn your strongest and weakest areas, and what you can do now to create a strategy that delivers results.

To address the criteria in this checklist for your organization, extensive selected resources are provided for sources of further research and information.

Start the Checklist

Below you will find a quick checklist designed to help you think about which data modelling related domains to cover and 283 essential critical questions to check off in that domain.

The following domains are covered:

data modelling, Conceptual modeling, Relational database, Capability Maturity Model Integration, Trygve Reenskaug, Zachman Framework, data modelling, Enterprise architecture, Data flow diagram, Informative modelling, Bachman diagram, Systems engineering, Extreme programming, Software quality assurance, Systems development life cycle, Database design, Database system, Process modeling, Artificial intelligence, Systems analysis, Software archaeology, Ivar Jacobson, American National Standards Institute, Incremental build model, Semantic data model, Data modeling, Document modelling, Object-Role Modeling, Danese Cooper, Three schema approach, Systems modeling, Executable UML, Software testing, Functional specification, Project management, Niklaus Wirth, Logical schema, Physical data model, Enhanced entity–relationship model, Software deployment, Watts Humphrey, Function model, Binary relation, Iterative and incremental development, Domain of discourse, Conceptual schema, View model, Barker’s notation, Enterprise modelling, Software configuration management, Computer programming, Entity–relationship model, National Institute of Standards and Technology, Requirements engineering, Object-oriented programming, Unified Process, Waterfall model, Database management system, Architectural pattern, Data structure diagram, Bertrand Meyer, Service-oriented architecture, Relational Model/Tasmania, XML schema, Data structure, Peri Tarr, Physical schema, Copyright status of work by the U.S. government, Business process modeling, Agile software development, Risk management, Software engineering:

data modelling Critical Criteria:

Co-operate on data modelling engagements and document what potential data modelling megatrends could make our business model obsolete.

– Think about the functions involved in your data modelling project. what processes flow from these functions?

– Which data modelling goals are the most important?

– How can skill-level changes improve data modelling?

Conceptual modeling Critical Criteria:

Canvass Conceptual modeling adoptions and reduce Conceptual modeling costs.

– Is the data modelling organization completing tasks effectively and efficiently?

– How do we go about Securing data modelling?

Relational database Critical Criteria:

Accumulate Relational database adoptions and define what do we need to start doing with Relational database.

– Can we describe the data architecture and relationship between key variables. for example, are data stored in a spreadsheet with one row for each person/entity, a relational database, or some other format?

– Are accountability and ownership for data modelling clearly defined?

– Is there any existing data modelling governance structure?

– How do we maintain data modellings Integrity?

Capability Maturity Model Integration Critical Criteria:

Check Capability Maturity Model Integration tactics and look at the big picture.

– Think about the kind of project structure that would be appropriate for your data modelling project. should it be formal and complex, or can it be less formal and relatively simple?

– What tools do you use once you have decided on a data modelling strategy and more importantly how do you choose?

– Who will be responsible for deciding whether data modelling goes ahead or not after the initial investigations?

Trygve Reenskaug Critical Criteria:

Communicate about Trygve Reenskaug quality and explain and analyze the challenges of Trygve Reenskaug.

– Who are the people involved in developing and implementing data modelling?

– Does data modelling appropriately measure and monitor risk?

Zachman Framework Critical Criteria:

Think carefully about Zachman Framework tasks and finalize specific methods for Zachman Framework acceptance.

– What vendors make products that address the data modelling needs?

– How do enterprise architects use the Zachman Framework?

– Is the scope of data modelling defined?

data modelling Critical Criteria:

Infer data modelling tactics and reinforce and communicate particularly sensitive data modelling decisions.

– What are the disruptive data modelling technologies that enable our organization to radically change our business processes?

– Do those selected for the data modelling team have a good general understanding of what data modelling is all about?

– What is the source of the strategies for data modelling strengthening and reform?

Enterprise architecture Critical Criteria:

Contribute to Enterprise architecture projects and look in other fields.

– With the increasing adoption of cloud computing do you think enterprise architecture as a discipline will become more or less important to us and why?

– Enterprise architecture planning. how does it align with to the to be architecture?

– How will we insure seamless interoperability of data modelling moving forward?

– Have the types of risks that may impact data modelling been identified and analyzed?

– How does the standard fit into the Federal Enterprise Architecture (FEA)?

– Are Enterprise JavaBeans still relevant for enterprise architectures?

– Are software assets aligned with the agency enterprise architecture?

– Are software assets aligned with the organizations enterprise architecture?

– Are the levels and focus right for TOGAF enterprise architecture?

– Is There a Role for Patterns in Enterprise Architecture?

– What is the value of mature Enterprise Architecture?

– Why Should we Consider Enterprise Architecture?

– What is an Enterprise Architecture?

– What Is Enterprise Architecture?

– Why Enterprise Architecture?

Data flow diagram Critical Criteria:

Canvass Data flow diagram goals and integrate design thinking in Data flow diagram innovation.

– What will be the consequences to the business (financial, reputation etc) if data modelling does not go ahead or fails to deliver the objectives?

– What is our data modelling Strategy?

Informative modelling Critical Criteria:

Be responsible for Informative modelling leadership and find out what it really means.

– Who is responsible for ensuring appropriate resources (time, people and money) are allocated to data modelling?

– What are the long-term data modelling goals?

Bachman diagram Critical Criteria:

Reason over Bachman diagram tactics and look at it backwards.

– Can we do data modelling without complex (expensive) analysis?

– How do we manage data modelling Knowledge Management (KM)?

– Who will provide the final approval of data modelling deliverables?

Systems engineering Critical Criteria:

Think about Systems engineering strategies and innovate what needs to be done with Systems engineering.

– The pp and the semp define the tasks and schedule for the project and the processes that will be followed to produce the deliverables. once the project is underway, how can you track progress against the plan?

– What constraints apply, either in the nature and scope of our design effort (time, cost, funding, and other resources) or in the nature (size, cost, weight, etc.) of our solution?

– How do we achieve sufficient predictability in developing the system so as to enable meaningful costed and time-bounded, resourced plans to be formed?

– Is the project using any technologies that have not been widely deployed or that the project team is unfamiliar with?

– Does the deployment schedule call for installations at a typically rainy time of year?

– What potential environmental factors impact the data modelling effort?

– What kind of support for requirements management will be needed?

– Has organization developed a plan for continuous improvement?

– What is the problem or opportunity addressed by the system?

– What is the geographic and physical extent of the system?

– Are the requirements mapped to one or more user needs?

– How do functions occur between parts of the system?

– Who will use the systems engineering plan (sep)?

– What are the flows between parts of the system?

– What are the interfaces for a given part?

– Where would we like to be in the future?

– What parts are connected to each other?

– How much architecting is enough?

– Multiple development cycles?

– Right requirements?

Extreme programming Critical Criteria:

Debate over Extreme programming decisions and get answers.

– To what extent does management recognize data modelling as a tool to increase the results?

– What are the business goals data modelling is aiming to achieve?

– How Extreme Does Extreme Programming Have to Be?

– When using Extreme Programming?

– What Is Extreme Programming?

Software quality assurance Critical Criteria:

Participate in Software quality assurance issues and catalog what business benefits will Software quality assurance goals deliver if achieved.

– Does the software Quality Assurance function have a management reporting channel separate from the software development project management?

– Are software Quality Assurance tests a part of the general hardware acceptance test on the customers machine before it leaves the factory?

– Do software Quality Assurance test programs undergo the same production cycle and method (except q/a) as the software they test?

– Is software Quality Assurance done by an independently reporting agency representing the interests of the eventual user?

– Is at least one person engaged in software Quality Assurance for every ten engaged in its fabrication?

– What are the best practices for software quality assurance when using agile development methodologies?

– What new services of functionality will be implemented next with data modelling ?

– How do we measure improved data modelling service perception, and satisfaction?

– How do we keep improving data modelling?

Systems development life cycle Critical Criteria:

Scrutinze Systems development life cycle engagements and optimize Systems development life cycle leadership as a key to advancement.

– In a project to restructure data modelling outcomes, which stakeholders would you involve?

– Why is the systems development life cycle considered an iterative process?

– What are the five steps in the systems development life cycle (sdlc)?

– What are current data modelling Paradigms?

– Are there data modelling Models?

Database design Critical Criteria:

Examine Database design visions and ask what if.

– Rapid application development (rad) techniques have been around for about two decades now and have been used with varying degrees of success. sometimes rad is required for certain projects. but rad can be bad for database design. why?

– Is maximizing data modelling protection the same as minimizing data modelling loss?

Database system Critical Criteria:

Drive Database system visions and separate what are the business goals Database system is aiming to achieve.

– How do mission and objectives affect the data modelling processes of our organization?

– What business benefits will data modelling goals deliver if achieved?

– Why should we adopt a data modelling framework?

Process modeling Critical Criteria:

Check Process modeling issues and ask what if.

– In what ways are data modelling vendors and us interacting to ensure safe and effective use?

– What is the purpose of data modelling in relation to the mission?

– How is the value delivered by data modelling being measured?

Artificial intelligence Critical Criteria:

Judge Artificial intelligence governance and frame using storytelling to create more compelling Artificial intelligence projects.

– what is the best design framework for data modelling organization now that, in a post industrial-age if the top-down, command and control model is no longer relevant?

Systems analysis Critical Criteria:

Have a meeting on Systems analysis issues and devote time assessing Systems analysis and its risk.

– Can you identify the input elements, transformation elements and output elements that make the process happen?

– What process must the company go through to obtain and implement a new system?

– What is the purpose of splitting design into two parts: systems and detail?

– Operational feasibility. will the solution fulfill the users requirements?

– What types of planning are necessary to ensure the system s success?

– What are the organizations relationships with other organizations?

– How should Systems Analysis incorporate multisectoral components?

– What records are kept and how do they fit in with the functions?

– How do we practically monitor or measure margin to criticality?

– Why is planning an important step in systems development?

– What does it mean to develop a quality software system?

– Systems Analysis and design: where is it?

– What part of the system is working well?

– Systems Analysis and design: what is it?

– What is behavioral Systems Analysis?

– Why have Systems Analysis at all?

– What are top managements roles?

– Can something be changed?

– Why build the system?

Software archaeology Critical Criteria:

Set goals for Software archaeology planning and do something to it.

– Is Supporting data modelling documentation required?

– How can we improve data modelling?

Ivar Jacobson Critical Criteria:

Face Ivar Jacobson strategies and probe using an integrated framework to make sure Ivar Jacobson is getting what it needs.

– What other jobs or tasks affect the performance of the steps in the data modelling process?

American National Standards Institute Critical Criteria:

Look at American National Standards Institute strategies and suggest using storytelling to create more compelling American National Standards Institute projects.

– What management system can we use to leverage the data modelling experience, ideas, and concerns of the people closest to the work to be done?

Incremental build model Critical Criteria:

Jump start Incremental build model leadership and secure Incremental build model creativity.

– Will new equipment/products be required to facilitate data modelling delivery for example is new software needed?

– What are the record-keeping requirements of data modelling activities?

Semantic data model Critical Criteria:

Mine Semantic data model leadership and ask what if.

– Think about the people you identified for your data modelling project and the project responsibilities you would assign to them. what kind of training do you think they would need to perform these responsibilities effectively?

Data modeling Critical Criteria:

Paraphrase Data modeling visions and look at it backwards.

– How would one define data modelling leadership?

– What are our data modelling Processes?

Document modelling Critical Criteria:

Mix Document modelling goals and oversee Document modelling management by competencies.

Object-Role Modeling Critical Criteria:

Think carefully about Object-Role Modeling planning and frame using storytelling to create more compelling Object-Role Modeling projects.

– What are your results for key measures or indicators of the accomplishment of your data modelling strategy and action plans, including building and strengthening core competencies?

– When a data modelling manager recognizes a problem, what options are available?

– Do we have past data modelling Successes?

Danese Cooper Critical Criteria:

Win new insights about Danese Cooper quality and get the big picture.

– What are our best practices for minimizing data modelling project risk, while demonstrating incremental value and quick wins throughout the data modelling project lifecycle?

– Who is the main stakeholder, with ultimate responsibility for driving data modelling forward?

Three schema approach Critical Criteria:

Guard Three schema approach tasks and use obstacles to break out of ruts.

– Do we aggressively reward and promote the people who have the biggest impact on creating excellent data modelling services/products?

Systems modeling Critical Criteria:

Derive from Systems modeling failures and look at it backwards.

– Marketing budgets are tighter, consumers are more skeptical, and social media has changed forever the way we talk about data modelling. How do we gain traction?

– What may be the consequences for the performance of an organization if all stakeholders are not consulted regarding data modelling?

Executable UML Critical Criteria:

Be responsible for Executable UML goals and find out.

– Are there any easy-to-implement alternatives to data modelling? Sometimes other solutions are available that do not require the cost implications of a full-blown project?

– What prevents me from making the changes I know will make me a more effective data modelling leader?

– What is our formula for success in data modelling ?

Software testing Critical Criteria:

Categorize Software testing engagements and find the ideas you already have.

– How do we ensure that implementations of data modelling products are done in a way that ensures safety?

– Why is data modelling important for you now?

Functional specification Critical Criteria:

Value Functional specification projects and test out new things.

– What are the key elements of your data modelling performance improvement system, including your evaluation, organizational learning, and innovation processes?

– How do senior leaders actions reflect a commitment to the organizations data modelling values?

Project management Critical Criteria:

Huddle over Project management leadership and look at it backwards.

– Agile project management with Scrum derives from best business practices in companies like Fuji-Xerox, Honda, Canon, and Toyota. Toyota routinely achieves four times the productivity and 12 times the quality of competitors. Can Scrum do the same for globally distributed teams?

– First iteration. The plan for the team is then a list of prioritized features, and who is to perform the tasks of developing the features is decided on during the iteration. What is important in the kick-off meeting to enable feedback and learning?

– Does it replace or negate traditional project management concerns with risk, scheduling, metrics, and execution, or does it shift how we think about these and necessitate new techniques and approaches?

– With agile processes promoting the concept of self-directed teams, is there room for the conventional project manager or does this role also need to evolve to suit the principles of the new paradigm?

– When we say that the traditional project team is not self-organized, no matter how complex the project is, and what level of team we are discussing?

– What are the key considerations and decisions that must be made to ensure your project management office is appropriate for your organization?

– Can we say that the traditional project team is not self-organized, no matter how complex the project is, and what level of team we are discussing?

– Which existing processes, tools and templates for executing projects can be applied to the agile project management framework?

– How will the existing culture and organizational structure be impacted by agile project management?

– Can agile project management be adopted by industries other than software development?

– Justification: what are your research questions and how do you motivate them?

– Does implementation of project management require a culture change?

– How do we create a culture that supports project management?

– Why are project management models not used in maintenance?

– How will stakeholders and customers react to the change?

– How do we deal with change when it happens?

– So then, what is a virtual team?

– Agile Management an oxymoron?

– What is scrum?

Niklaus Wirth Critical Criteria:

Drive Niklaus Wirth goals and observe effective Niklaus Wirth.

Logical schema Critical Criteria:

Shape Logical schema governance and achieve a single Logical schema view and bringing data together.

– What tools and technologies are needed for a custom data modelling project?

Physical data model Critical Criteria:

Survey Physical data model tasks and get the big picture.

– Does data modelling include applications and information with regulatory compliance significance (or other contractual conditions that must be formally complied with) in a new or unique manner for which no approved security requirements, templates or design models exist?

– What is the physical data model definition (derived from logical data models) used to design the database?

– Physical data model available?

Enhanced entity–relationship model Critical Criteria:

Familiarize yourself with Enhanced entity–relationship model failures and differentiate in coordinating Enhanced entity–relationship model.

– Does the data modelling task fit the clients priorities?

Software deployment Critical Criteria:

Tête-à-tête about Software deployment outcomes and catalog Software deployment activities.

Watts Humphrey Critical Criteria:

Substantiate Watts Humphrey results and simulate teachings and consultations on quality process improvement of Watts Humphrey.

– Is data modelling Realistic, or are you setting yourself up for failure?

– Are we Assessing data modelling and Risk?

Function model Critical Criteria:

Tête-à-tête about Function model risks and look at the big picture.

– Who will be responsible for documenting the data modelling requirements in detail?

Binary relation Critical Criteria:

Paraphrase Binary relation governance and devise Binary relation key steps.

– In the case of a data modelling project, the criteria for the audit derive from implementation objectives. an audit of a data modelling project involves assessing whether the recommendations outlined for implementation have been met. in other words, can we track that any data modelling project is implemented as planned, and is it working?

Iterative and incremental development Critical Criteria:

Conceptualize Iterative and incremental development adoptions and probe using an integrated framework to make sure Iterative and incremental development is getting what it needs.

– Consider your own data modelling project. what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?

– Have you identified your data modelling key performance indicators?

Domain of discourse Critical Criteria:

Grade Domain of discourse risks and don’t overlook the obvious.

– Who will be responsible for making the decisions to include or exclude requested changes once data modelling is underway?

Conceptual schema Critical Criteria:

Disseminate Conceptual schema results and acquire concise Conceptual schema education.

– How do you determine the key elements that affect data modelling workforce satisfaction? how are these elements determined for different workforce groups and segments?

– Is there a data modelling Communication plan covering who needs to get what information when?

View model Critical Criteria:

Exchange ideas about View model planning and slay a dragon.

– Do the data modelling decisions we make today help people and the planet tomorrow?

– What are the barriers to increased data modelling production?

Barker’s notation Critical Criteria:

Participate in Barker’s notation tactics and find the ideas you already have.

– How likely is the current data modelling plan to come in on schedule or on budget?

Enterprise modelling Critical Criteria:

Own Enterprise modelling visions and gather Enterprise modelling models .

– Does data modelling systematically track and analyze outcomes for accountability and quality improvement?

– What are the short and long-term data modelling goals?

– How to deal with data modelling Changes?

Software configuration management Critical Criteria:

Disseminate Software configuration management governance and interpret which customers can’t participate in Software configuration management because they lack skills.

– Do we monitor the data modelling decisions made and fine tune them as they evolve?

– What are some of the software Configuration Management tools?

– Definition: what is software Configuration Management?

– Motivation: why software Configuration Management?

– Why software Configuration Management ?

Computer programming Critical Criteria:

Test Computer programming projects and improve Computer programming service perception.

– Does data modelling analysis show the relationships among important data modelling factors?

– How can you measure data modelling in a systematic way?

Entity–relationship model Critical Criteria:

Sort Entity–relationship model risks and achieve a single Entity–relationship model view and bringing data together.

– Is data modelling dependent on the successful delivery of a current project?

– What are internal and external data modelling relations?

National Institute of Standards and Technology Critical Criteria:

Consider National Institute of Standards and Technology tasks and check on ways to get started with National Institute of Standards and Technology.

– Why is it important to have senior management support for a data modelling project?

– What is Effective data modelling?

Requirements engineering Critical Criteria:

Reason over Requirements engineering outcomes and probe the present value of growth of Requirements engineering.

– How do we make it meaningful in connecting data modelling with what users do day-to-day?

Object-oriented programming Critical Criteria:

Analyze Object-oriented programming failures and diversify by understanding risks and leveraging Object-oriented programming.

Unified Process Critical Criteria:

Differentiate Unified Process tasks and innovate what needs to be done with Unified Process.

Waterfall model Critical Criteria:

Consolidate Waterfall model engagements and finalize specific methods for Waterfall model acceptance.

– Are we making progress? and are we making progress as data modelling leaders?

– How do we Lead with data modelling in Mind?

Database management system Critical Criteria:

Model after Database management system results and improve Database management system service perception.

– Record-keeping requirements flow from the records needed as inputs, outputs, controls and for transformation of a data modelling process. ask yourself: are the records needed as inputs to the data modelling process available?

– Do data modelling rules make a reasonable demand on a users capabilities?

– What database management systems have been implemented?

Architectural pattern Critical Criteria:

Pay attention to Architectural pattern adoptions and devise Architectural pattern key steps.

– A compounding model resolution with available relevant data can often provide insight towards a solution methodology; which data modelling models, tools and techniques are necessary?

Data structure diagram Critical Criteria:

Deliberate Data structure diagram leadership and transcribe Data structure diagram as tomorrows backbone for success.

– How can you negotiate data modelling successfully with a stubborn boss, an irate client, or a deceitful coworker?

– How do we Improve data modelling service perception, and satisfaction?

Bertrand Meyer Critical Criteria:

Look at Bertrand Meyer visions and modify and define the unique characteristics of interactive Bertrand Meyer projects.

– For your data modelling project, identify and describe the business environment. is there more than one layer to the business environment?

Service-oriented architecture Critical Criteria:

Brainstorm over Service-oriented architecture projects and inform on and uncover unspoken needs and breakthrough Service-oriented architecture results.

– How do your measurements capture actionable data modelling information for use in exceeding your customers expectations and securing your customers engagement?

– Risk factors: what are the characteristics of data modelling that make it risky?

Relational Model/Tasmania Critical Criteria:

Analyze Relational Model/Tasmania goals and do something to it.

XML schema Critical Criteria:

Focus on XML schema adoptions and probe using an integrated framework to make sure XML schema is getting what it needs.

– How do we know that any data modelling analysis is complete and comprehensive?

– What are all of our data modelling domains and what do they do?

– What will drive data modelling change?

Data structure Critical Criteria:

Add value to Data structure projects and forecast involvement of future Data structure projects in development.

– Can we add value to the current data modelling decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)?

– What if the needle in the haystack happens to be a complex data structure?

– Is the process repeatable as we change algorithms and data structures?

– Are there data modelling problems defined?

Peri Tarr Critical Criteria:

Recall Peri Tarr tasks and probe using an integrated framework to make sure Peri Tarr is getting what it needs.

– How can the value of data modelling be defined?

– Are there recognized data modelling problems?

Physical schema Critical Criteria:

Unify Physical schema results and assess and formulate effective operational and Physical schema strategies.

Copyright status of work by the U.S. government Critical Criteria:

Scan Copyright status of work by the U.S. government risks and pay attention to the small things.

– Have all basic functions of data modelling been defined?

Business process modeling Critical Criteria:

Disseminate Business process modeling tactics and track iterative Business process modeling results.

Agile software development Critical Criteria:

Detail Agile software development leadership and triple focus on important concepts of Agile software development relationship management.

– Much of the agile advice is oriented towards small teams of up to ten people, who are either co-located or near located, who have ready access to their primary stakeholders, and who are working on software that can be easily organized into a series of small releases. What about large teams?

– Could Agile Manifesto and agile methods be a good starting point for the corporate venture to start their development effort towards their own, efficient agile in-house software development method?

– How do you take an approach like CMM that is heavily about management control and measurement and make it light on its feet?

– How could agile approach be utilized in other parts and functions of an organization, for instance in marketing?

– Can agile methods be used effectively for evolving a system in response to customer change requests?

– Do not ISO 9000 and CMM certifications loose their meaning when applied to the software industry?

– Which is really software best practice to us, CMM or agile development?

– What scaling factors should we consider when tailoring our approach?

– Which is really software best practice, CMM or agile development?

– From Waterfall to Agile How does a QA Team Transition?

– So what do your developers do differently in agile?

– What does it mean to scale agile solution delivery?

– What challenges do teams face when scaling agile?

– What are you planning to complete today?

– How do Agile projects prioritize work?

– How is the development team organized?

– Are Agile teams collocated?

– Have we Adopted Agile?

Risk management Critical Criteria:

Facilitate Risk management adoptions and get the big picture.

– Has your organization conducted a cyber risk or vulnerability assessment of its information systems, control systems, and other networked systems?

– Is it understood that the risk management effectiveness critically depends on data collection, analysis and dissemination of relevant data?

– Do you have a clearly defined organizational structure at organization level in order to sustain the risk management process?

– Do we have a minimum baseline level of security that meets what we would consider good security hygiene?

– How does the enterprise deal with negative outcomes, i.e., loss events or missed opportunities?

– Do you have a System Development Life Cycle plan that is implemented to manage systems?

– What is our approach to Risk Management in the specific area of social media?

– How important is the system to the user organizations mission?

– Can I explain our corporate Cybersecurity strategy to others?

– Has your system or websites availability been disrupted?

– What is our Risk Management committee?

– what is our Ultimate Disaster Scenario?

– How many different rules?

– How do we measure risk?

– What s At Risk?

Software engineering Critical Criteria:

Infer Software engineering results and report on setting up Software engineering without losing ground.

– DevOps isnt really a product. Its not something you can buy. DevOps is fundamentally about culture and about the quality of your application. And by quality I mean the specific software engineering term of quality, of different quality attributes. What matters to you?

– Where do ideas that reach policy makers and planners as proposals for data modelling strengthening and reform actually originate?

– Can we answer questions like: Was the software process followed and software engineering standards been properly applied?

– Is open source software development faster, better, and cheaper than software engineering?

– Better, and cheaper than software engineering?


This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the data modelling Self Assessment:


Author: Gerard Blokdijk

CEO at The Art of Service | http://theartofservice.com

[email protected]


Gerard is the CEO at The Art of Service. He has been providing information technology insights, talks, tools and products to organizations in a wide range of industries for over 25 years. Gerard is a widely recognized and respected information expert. Gerard founded The Art of Service consulting business in 2000. Gerard has authored numerous published books to date.

External links:

To address the criteria in this checklist, these selected resources are provided for sources of further research and information:

data modelling External links:

Question #00625877: Term Paper of advance data Modelling

5.1 Conceptual Data Modelling Flashcards | Quizlet

Relational database External links:

Amazon Aurora – Relational Database Built for the …

How to Design Relational Database with ERD? – Visual …

Amazon Relational Database Service (RDS) – AWS

Capability Maturity Model Integration External links:

[PDF]Capability Maturity Model Integration (CMMI) …

[PDF]Capability Maturity Model Integration (CMMI ) …

Zachman Framework External links:

Zachman Framework Flashcards | Quizlet

Amazon.com: Enterprise Architecture Using the Zachman Framework (MIS) (9780619064464): Carol O’Rourke, Neal Fishman, Warren Selkow: Books

Tutorial to Zachman Framework – Student Simple

data modelling External links:

Question #00625877: Term Paper of advance data Modelling

5.1 Conceptual Data Modelling Flashcards | Quizlet

Data flow diagram External links:

What is Data Flow Diagram (DFD)? How to Draw DFD?

Drawing Data Flow Diagram (DFD) – Visual Paradigm

Data Flow Diagram – Everything You Need to Know …

Bachman diagram External links:

Bachman Diagram Tools | CA Communities

Systems engineering External links:

Solers, Inc. :: Software & Systems Engineering

Innoslate | PLM and Systems Engineering Tools

Extreme programming External links:

What is Extreme Programming? (XP) | Process …

What is Extreme Programming (XP)? | Agile Alliance

AgileFAQs – Expert Agile, Scrum, eXtreme Programming …

Software quality assurance External links:

[PDF]Software Quality Assurance Plan – US Department …

Software Quality Assurance Engineers & Testers at My Next Move

Systems development life cycle External links:


DOJ Systems Development Life Cycle Guidance Chapter 5

DOJ Systems Development Life Cycle Guidance Table of Contents

Database design External links:

E Pharmacy Access Database Design | 1stDrugstore

Introduction to database design – Datanamic

Database system External links:

State of Indiana Small Loan Transaction Database System

My Safety Database System

TAMUCC Payroll Database System

Process modeling External links:

Navvia Process Modeling Software | Process Modelling …

Bpmn Method and Style, 2nd Edition, with Bpmn Implementer’s Guide: A Structured Approach for Business Process Modeling and Implementation Using Bpmn 2 …

Guide to Business Process Modeling | Smartsheet

Artificial intelligence External links:

Logojoy | Artificial Intelligence Logo Design

Systems analysis External links:

Systems Analysis and Integration | Transportation …

P E Systems | Systems Analysis | Technology Services

My Systems Analysis Ch.3 Flashcards | Quizlet

Software archaeology External links:

Software Archaeology | CSIAC

Software Archaeology – Reddit

Software Archaeology – CODE Online

Ivar Jacobson External links:

Ivar Jacobson International | Facebook

Ivar Jacobson International

American National Standards Institute External links:

ANSI – American National Standards Institute – EDI …

ANSI – American National Standards Institute – Google+

ANSI – American National Standards Institute

Incremental build model External links:

Incremental build model by John Brock on Prezi

Incremental Build Model – YouTube

Incremental Build Model – YouTube

Semantic data model External links:

semantic data model – Gartner IT Glossary

What is the Semantic Data Model? – Definition from …

Semantic Data Model | Database Management | …

Data modeling External links:

Data Modeling Foundations Flashcards | Quizlet

What is data modeling? – Definition from WhatIs.com

| Peace, Love, Data Modeling

Danese Cooper External links:

Danese Cooper (@DivaDanese) | Twitter

Getting Started with InnerSource – Danese Cooper …

Danese Cooper | Flickr

Three schema approach External links:

Three schema approach – Revolvy
https://www.revolvy.com/topic/Three schema approach&item_type=topic

Systems modeling External links:

[PDF]Introduction to Electrical Systems Modeling

Energy Systems Modeling | Argonne National Laboratory

Water Distribution Systems Modeling using EPANET | …

Executable UML External links:

Executable UML (xUML)

Executable UML How to Build Class Models [Leon Starr] on Amazon.com. *FREE* shipping on qualifying offers. This book shows how to …

University Bookstore at Texas State – Executable UML

Software testing External links:

Software Testing Certification Information – ASTQB …

PractiTest: Software Testing & QA Test Management …

International Software Testing Qualifications Board – …

Functional specification External links:

What Goes Into a Functional Specification? – Bridging …

Process 2: Write the Functional Specification

Functional Specification – technet.microsoft.com

Project management External links:

Learn why Bechtel is one of the most respected engineering, construction, and project management companies in the world.
http://Online Project Management S/W – zoho.com

Online Project Management S/W – zoho.com
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Certifications | Project Management Institute

Niklaus Wirth External links:

Celebrating Niklaus Wirth’s 80th Birthday | Hacker News

Niklaus Wirth Quotes – BrainyQuote

Niklaus Wirth N. Eric | Facebook

Logical schema External links:

What is the difference between logical schema and …

Physical data model External links:

Transition between Logical and Physical Data Model – YouTube

FRS Physical Data Model | Envirofacts | US EPA

Software deployment External links:

Top Software Deployment Tools: 25 Tools to …

Software Deployment – PC Power Management – IT …

Watts Humphrey External links:

George Watts Humphrey Jr. – Wealth-X Dossier

Watts Humphrey: An Outrageous Commitment, A Lifelong Mission

G. Watts Humphrey, Jr. | America’s Best Racing

Function model External links:

CodeIgniter -Error Call to a member function model() on …

Buy Verizon Asus ZenPad Z8s Case, i-UniK Verizon 2017 Asus ZenPad Z8s Support Sleep Awake Function Model# ASUS-P00J 4G …

Iterative and incremental development External links:

[PDF]Iterative and Incremental Development (IID)

[PDF]Iterative and incremental development: a brief …

Domain of discourse External links:

Domain of discourse Meaning – YouTube

Conceptual schema External links:

Evaluating Social Interventions: A Conceptual Schema …

[MC-CSDL]: Conceptual Schema Definition File Format

A Conceptual Schema of the Programming Process in …

View model External links:

Home Inventory | View Model Homes & Floorplans | …

View model
http://A view model represents the data that you want to display on your view/page, whether it be used for static text or for input values (like textboxes and dropdown lists) that can be added to the database (or edited). It is something different than your domain model. It is a model for the view.

My View model position for CS:GO – Steam Community

Barker’s notation External links:

Barker’s Notation – Revolvy
https://broom02.revolvy.com/topic/Barker’s Notation&item_type=topic

Enterprise modelling External links:

Enterprise Modelling and Information Systems …

POEM Packages – Process Oriented Enterprise Modelling

Software configuration management External links:

[PDF]Software Configuration Management A Clear …

Software configuration management
http://In software engineering, software configuration management (SCM or S/W CM) is the task of tracking and controlling changes in the software, part of the larger cross-disciplinary field of configuration management. SCM practices include revision control and the establishment of baselines. If something goes wrong, SCM can determine what was changed and who changed it.

[PDF]Software Configuration Management

Computer programming External links:

XKLOADER2 – 2nd Gen XPRESSKIT Computer Programming tool

Computer programming | Computing | Khan Academy

Computer Programming, Robotics & Engineering – STEM For Kids

National Institute of Standards and Technology External links:

National Institute of Standards and Technology – …

National Institute of Standards and Technology – YouTube

Requirements engineering External links:

Software Requirements Engineering | ASQ

International Requirements Engineering Board – …

Object-oriented programming External links:

Object-Oriented Programming Definition | Webopedia

Object-Oriented Programming in MATLAB – MathWorks

Unified Process External links:

CDC UP | Home Page of the CDC Unified Process

Unified Process Life Cycle Flashcards | Quizlet

Waterfall model External links:

SDLC – Waterfall Model – tutorialspoint.com

How to make a realistic waterfall model – YouTube

How is V-Model different from Waterfall model? | …

Database management system External links:

7 Reasons Why You Need a Database Management System

Database Management System (DBMS) – Techopedia.com

Petroleum Database Management System (PDMS)

Architectural pattern External links:

Architectural Pattern – Home | Facebook

Data structure diagram External links:

[PDF]PEMS Data Structure Diagram

Data Structure Diagram – Conceptdraw.com

Bertrand Meyer External links:

Bertrand Meyer (@Bertrand_Meyer) | Twitter

Bertrand Meyer Profiles | Facebook

Bertrand Meyer-Stabley | Facebook

Service-oriented architecture External links:

Understanding Service-Oriented Architecture

Service-Oriented Architecture Summary | Accenture

Messaging Patterns in Service-Oriented Architecture, …

Relational Model/Tasmania External links:

Relational Model/Tasmania
http://Relational Model/Tasmania (RM/T) was published by Edgar F. Codd in 1979 and is the name given to a number of extensions to his original relational model (RM) published in 1970. The overall goal of the RM/T was to define some fundamental semantic units, at “atomic” and “molecular” levels, for data modelling.

https://www.revolvy.com/topic/Relational Model/Tasmania
http://Apr 18, 2003

Relational Model/Tasmania – Revolvy
https://www.revolvy.com/topic/Relational Model/Tasmania

XML schema External links:

index XML Schema Model – Bureau of the Fiscal Service

Extend enumerated lists in XML schema – ibm.com

Data structure External links:

Data structure | computer science | Britannica.com

[MS-PAC]: Privilege Attribute Certificate Data Structure

The private data of the DEVMODE data structure may …

Physical schema External links:

Physical Schema – msdn.microsoft.com

Copyright status of work by the U.S. government External links:

Copyright status of work by the U.S. government – …

copyright status of work by the u.s. government …
http://photobucket.com/images/copyright status of work by the u.s. government

Copyright status of work by the U.S. government – …

Business process modeling External links:

Business Process Modeling A-Z™: Learn BPMN 2.0 …

Guide to Business Process Modeling | Smartsheet

Bpmn Method and Style, 2nd Edition, with Bpmn Implementer’s Guide: A Structured Approach for Business Process Modeling and Implementation Using Bpmn 2 …

Agile software development External links:

Download MSF for Agile Software Development …

Mobile Apps, Digital Products, Agile Software Development

Agile Software Development | App Development | Softxpert

Risk management External links:

Driver Risk Management Solutions | AlertDriving

Risk Management

Software engineering External links:

Software Engineering Institute

Academy for Software Engineering / Homepage

Software Engineering Directorate | U.S. Army Aviation …