What is involved in Active Data Dictionary
Find out what the related areas are that Active Data Dictionary 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 Active Data Dictionary thinking-frame.
How far is your company on its Active Data Dictionary journey?
Take this short survey to gauge your organization’s progress toward Active Data Dictionary 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 Active Data Dictionary related domains to cover and 199 essential critical questions to check off in that domain.
The following domains are covered:
Active Data Dictionary, ISO/IEC 11179, Metadata registry, Decision support system, Base One International, Data mart, Data vault modeling, Data warehouse, Data extraction, MultiDimensional eXpressions, Software framework, Application software, Dimension table, Anchor Modeling, Data modeling, Vocabulary OneSource, Query optimization, IBM System i, Dimensional modeling, Data mining, Rapid application development, Semantic spectrum, Entity-relationship model, Comparison of OLAP Servers, Oracle Corporation, Class library, Extract, transform, load, Distributed database, Database management system, Data loading, Slowly changing dimension, Business intelligence software, Software component, XML for Analysis, Visual DataFlex, Foreign key, OLAP cube, Data validation, Online analytical processing, Degenerate dimension, Integrated Authority File, Surrogate key, Data transformation, Oracle Database, Data Mining Extensions, Data warehouse automation, Early-arriving fact, Metadata repository, Data element, Data hierarchy, Application security, Data dictionary, Sixth normal form, Column-oriented DBMS, Fact table, Operational data store:
Active Data Dictionary Critical Criteria:
Substantiate Active Data Dictionary failures and gather Active Data Dictionary models .
– What role does communication play in the success or failure of a Active Data Dictionary project?
– How do we know that any Active Data Dictionary analysis is complete and comprehensive?
– How do we maintain Active Data Dictionarys Integrity?
ISO/IEC 11179 Critical Criteria:
Discourse ISO/IEC 11179 results and raise human resource and employment practices for ISO/IEC 11179.
– What are all of our Active Data Dictionary domains and what do they do?
– Are there Active Data Dictionary Models?
– Is Active Data Dictionary Required?
Metadata registry Critical Criteria:
Check Metadata registry engagements and diversify by understanding risks and leveraging Metadata registry.
– What prevents me from making the changes I know will make me a more effective Active Data Dictionary leader?
– How do we measure improved Active Data Dictionary service perception, and satisfaction?
Decision support system Critical Criteria:
Infer Decision support system quality and define Decision support system competency-based leadership.
– What are the key elements of your Active Data Dictionary performance improvement system, including your evaluation, organizational learning, and innovation processes?
– A heuristic, a decision support system, or new practices to improve current project management?
– Is there any existing Active Data Dictionary governance structure?
– Are there Active Data Dictionary problems defined?
Base One International Critical Criteria:
Concentrate on Base One International results and differentiate in coordinating Base One International.
– What are your current levels and trends in key measures or indicators of Active Data Dictionary product and process performance that are important to and directly serve your customers? how do these results compare with the performance of your competitors and other organizations with similar offerings?
– What are the top 3 things at the forefront of our Active Data Dictionary agendas for the next 3 years?
– How likely is the current Active Data Dictionary plan to come in on schedule or on budget?
Data mart Critical Criteria:
Trace Data mart projects and find out.
– What other jobs or tasks affect the performance of the steps in the Active Data Dictionary process?
– Can we do Active Data Dictionary without complex (expensive) analysis?
– What is the purpose of data warehouses and data marts?
Data vault modeling Critical Criteria:
Facilitate Data vault modeling goals and reduce Data vault modeling costs.
– What are our best practices for minimizing Active Data Dictionary project risk, while demonstrating incremental value and quick wins throughout the Active Data Dictionary project lifecycle?
– What are the usability implications of Active Data Dictionary actions?
– How will you measure your Active Data Dictionary effectiveness?
Data warehouse Critical Criteria:
Illustrate Data warehouse risks and stake your claim.
– What tier data server has been identified for the storage of decision support data contained in a data warehouse?
– What does a typical data warehouse and business intelligence organizational structure look like?
– Meeting the challenge: are missed Active Data Dictionary opportunities costing us money?
– Does big data threaten the traditional data warehouse business intelligence model stack?
– Is data warehouseing necessary for our business intelligence service?
– Is Data Warehouseing necessary for a business intelligence service?
– What is the difference between a database and data warehouse?
– What are alternatives to building a data warehouse?
– What will drive Active Data Dictionary change?
– Do you still need a data warehouse?
– Centralized data warehouse?
Data extraction Critical Criteria:
Meet over Data extraction issues and describe which business rules are needed as Data extraction interface.
– What knowledge, skills and characteristics mark a good Active Data Dictionary project manager?
– What are your most important goals for the strategic Active Data Dictionary objectives?
– Do Active Data Dictionary rules make a reasonable demand on a users capabilities?
– How can data extraction from dashboards be automated?
MultiDimensional eXpressions Critical Criteria:
Explore MultiDimensional eXpressions tactics and give examples utilizing a core of simple MultiDimensional eXpressions skills.
– At what point will vulnerability assessments be performed once Active Data Dictionary is put into production (e.g., ongoing Risk Management after implementation)?
– Is Active Data Dictionary Realistic, or are you setting yourself up for failure?
– How to Secure Active Data Dictionary?
Software framework Critical Criteria:
Boost Software framework projects and track iterative Software framework results.
– For your Active Data Dictionary project, identify and describe the business environment. is there more than one layer to the business environment?
– Who will be responsible for making the decisions to include or exclude requested changes once Active Data Dictionary is underway?
Application software Critical Criteria:
Conceptualize Application software projects and budget the knowledge transfer for any interested in Application software.
– What are your results for key measures or indicators of the accomplishment of your Active Data Dictionary strategy and action plans, including building and strengthening core competencies?
– What is the total cost related to deploying Active Data Dictionary, including any consulting or professional services?
– How do you manage the new access devices using their own new application software?
– Is the process effectively supported by the legacy application software?
Dimension table Critical Criteria:
Categorize Dimension table tasks and cater for concise Dimension table education.
– What tools do you use once you have decided on a Active Data Dictionary strategy and more importantly how do you choose?
– Who is responsible for ensuring appropriate resources (time, people and money) are allocated to Active Data Dictionary?
– What is our formula for success in Active Data Dictionary ?
Anchor Modeling Critical Criteria:
Consult on Anchor Modeling decisions and triple focus on important concepts of Anchor Modeling relationship management.
– Does our organization need more Active Data Dictionary education?
– Which Active Data Dictionary goals are the most important?
– How do we Lead with Active Data Dictionary in Mind?
Data modeling Critical Criteria:
Design Data modeling governance and gather Data modeling models .
– Among the Active Data Dictionary product and service cost to be estimated, which is considered hardest to estimate?
– Do we have past Active Data Dictionary Successes?
Vocabulary OneSource Critical Criteria:
Consult on Vocabulary OneSource adoptions and be persistent.
– What may be the consequences for the performance of an organization if all stakeholders are not consulted regarding Active Data Dictionary?
– Do several people in different organizational units assist with the Active Data Dictionary process?
– How can the value of Active Data Dictionary be defined?
Query optimization Critical Criteria:
Communicate about Query optimization leadership and report on setting up Query optimization without losing ground.
– Does Active Data Dictionary analysis show the relationships among important Active Data Dictionary factors?
– Does the Active Data Dictionary task fit the clients priorities?
IBM System i Critical Criteria:
Have a session on IBM System i governance and get the big picture.
– What is the source of the strategies for Active Data Dictionary strengthening and reform?
– What are the short and long-term Active Data Dictionary goals?
Dimensional modeling Critical Criteria:
Face Dimensional modeling leadership and suggest using storytelling to create more compelling Dimensional modeling projects.
– What will be the consequences to the business (financial, reputation etc) if Active Data Dictionary does not go ahead or fails to deliver the objectives?
– What potential environmental factors impact the Active Data Dictionary effort?
– How can we improve Active Data Dictionary?
Data mining Critical Criteria:
Drive Data mining tactics and find the ideas you already have.
– Think about the people you identified for your Active Data Dictionary 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?
– Do you see the need to clarify copyright aspects of the data-driven innovation (e.g. with respect to technologies such as text and data mining)?
– What types of transactional activities and data mining are being used and where do we see the greatest potential benefits?
– What is the difference between Data Analytics Data Analysis Data Mining and Data Science?
– What is the difference between business intelligence business analytics and data mining?
– Are we making progress? and are we making progress as Active Data Dictionary leaders?
– Is business intelligence set to play a key role in the future of Human Resources?
– What are the Essentials of Internal Active Data Dictionary Management?
– What programs do we have to teach data mining?
Rapid application development Critical Criteria:
Distinguish Rapid application development tactics and point out Rapid application development tensions in leadership.
– 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?
– What type of feasibility is concerned with whether the project violates particular laws or regulations?
– Schedule feasibility -can the solution be designed and implemented within an acceptable time?
– What type of feasibility is concerned with whether the project can be completed on time?
– What new hardware, software, databases or procedures will improve an existing system?
– What type of feasibility is concerned with whether the project makes financial sense?
– Operational feasibility -will the solution fulfill the users requirements?
– Which sdlc results in the highest degree of user participation?
– Technical feasibility -is the solution technically practical?
– How do you measure system effectiveness in your organization?
– What primary problems might a new or enhanced system solve?
– Is there a need to exchange data with other applications?
– Did usability perceptions change during the rad proces?
– Economic feasibility -is the solution cost-effective?
– Why is Active Data Dictionary important for you now?
– Who are the potential users of the new application?
– Is the functionality visible through the uis?
– What is a key aspect of prototyping?
– What is architected rad?
– Is it applicable?
Semantic spectrum Critical Criteria:
Rank Semantic spectrum goals and interpret which customers can’t participate in Semantic spectrum because they lack skills.
– How will you know that the Active Data Dictionary project has been successful?
Entity-relationship model Critical Criteria:
Start Entity-relationship model strategies and learn.
– Who will be responsible for deciding whether Active Data Dictionary goes ahead or not after the initial investigations?
– Are there any disadvantages to implementing Active Data Dictionary? There might be some that are less obvious?
– In what ways are Active Data Dictionary vendors and us interacting to ensure safe and effective use?
Comparison of OLAP Servers Critical Criteria:
Mine Comparison of OLAP Servers tasks and explain and analyze the challenges of Comparison of OLAP Servers.
– How is the value delivered by Active Data Dictionary being measured?
Oracle Corporation Critical Criteria:
Administer Oracle Corporation results and overcome Oracle Corporation skills and management ineffectiveness.
– In a project to restructure Active Data Dictionary outcomes, which stakeholders would you involve?
– What sources do you use to gather information for a Active Data Dictionary study?
– Why should we adopt a Active Data Dictionary framework?
Class library Critical Criteria:
Substantiate Class library outcomes and devote time assessing Class library and its risk.
– Risk factors: what are the characteristics of Active Data Dictionary that make it risky?
– How to deal with Active Data Dictionary Changes?
Extract, transform, load Critical Criteria:
Consider Extract, transform, load planning and be persistent.
– Who are the people involved in developing and implementing Active Data Dictionary?
Distributed database Critical Criteria:
Value Distributed database adoptions and be persistent.
– Which customers cant participate in our Active Data Dictionary domain because they lack skills, wealth, or convenient access to existing solutions?
– What systems are similar to or may have influenced Bitcoins eventually consistent distributed database?
– To what extent does management recognize Active Data Dictionary as a tool to increase the results?
– How do we go about Comparing Active Data Dictionary approaches/solutions?
Database management system Critical Criteria:
Generalize Database management system failures and get answers.
– What database management systems have been implemented?
Data loading Critical Criteria:
Deduce Data loading management and maintain Data loading for success.
– Where do ideas that reach policy makers and planners as proposals for Active Data Dictionary strengthening and reform actually originate?
– Who will be responsible for documenting the Active Data Dictionary requirements in detail?
– Who sets the Active Data Dictionary standards?
Slowly changing dimension Critical Criteria:
Co-operate on Slowly changing dimension adoptions and get out your magnifying glass.
– What are the success criteria that will indicate that Active Data Dictionary objectives have been met and the benefits delivered?
– Is the scope of Active Data Dictionary defined?
– How much does Active Data Dictionary help?
Business intelligence software Critical Criteria:
Confer over Business intelligence software goals and prioritize challenges of Business intelligence software.
– What are our needs in relation to Active Data Dictionary skills, labor, equipment, and markets?
Software component Critical Criteria:
Infer Software component risks and track iterative Software component results.
– Can we answer questions like: Are all identified requirements allocated to software components?
– Do we all define Active Data Dictionary in the same way?
– How do we keep improving Active Data Dictionary?
XML for Analysis Critical Criteria:
Rank XML for Analysis quality and clarify ways to gain access to competitive XML for Analysis services.
Visual DataFlex Critical Criteria:
Check Visual DataFlex strategies and change contexts.
– Think about the kind of project structure that would be appropriate for your Active Data Dictionary project. should it be formal and complex, or can it be less formal and relatively simple?
– How do you determine the key elements that affect Active Data Dictionary workforce satisfaction? how are these elements determined for different workforce groups and segments?
– Do we monitor the Active Data Dictionary decisions made and fine tune them as they evolve?
Foreign key Critical Criteria:
Unify Foreign key tactics and reduce Foreign key costs.
– what is the best design framework for Active Data Dictionary organization now that, in a post industrial-age if the top-down, command and control model is no longer relevant?
– Will Active Data Dictionary have an impact on current business continuity, disaster recovery processes and/or infrastructure?
– How can you measure Active Data Dictionary in a systematic way?
OLAP cube Critical Criteria:
Sort OLAP cube strategies and ask what if.
– What are the Key enablers to make this Active Data Dictionary move?
Data validation Critical Criteria:
Read up on Data validation management and interpret which customers can’t participate in Data validation because they lack skills.
– How do you incorporate cycle time, productivity, cost control, and other efficiency and effectiveness factors into these Active Data Dictionary processes?
– Are there recognized Active Data Dictionary problems?
Online analytical processing Critical Criteria:
Contribute to Online analytical processing strategies and oversee Online analytical processing requirements.
– Can we add value to the current Active Data Dictionary decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)?
– Which individuals, teams or departments will be involved in Active Data Dictionary?
Degenerate dimension Critical Criteria:
Chart Degenerate dimension tactics and drive action.
– Why is it important to have senior management support for a Active Data Dictionary project?
Integrated Authority File Critical Criteria:
Scan Integrated Authority File adoptions and define what do we need to start doing with Integrated Authority File.
– How do we manage Active Data Dictionary Knowledge Management (KM)?
– What is Effective Active Data Dictionary?
Surrogate key Critical Criteria:
Coach on Surrogate key governance and get the big picture.
– Have the types of risks that may impact Active Data Dictionary been identified and analyzed?
Data transformation Critical Criteria:
Conceptualize Data transformation issues and prioritize challenges of Data transformation.
– Do you monitor the effectiveness of your Active Data Dictionary activities?
– Think of your Active Data Dictionary project. what are the main functions?
– Describe the process of data transformation required by your system?
– What is the process of data transformation required by your system?
Oracle Database Critical Criteria:
Check Oracle Database results and optimize Oracle Database leadership as a key to advancement.
– Do we cover the five essential competencies-Communication, Collaboration,Innovation, Adaptability, and Leadership that improve an organizations ability to leverage the new Active Data Dictionary in a volatile global economy?
– What are the disruptive Active Data Dictionary technologies that enable our organization to radically change our business processes?
Data Mining Extensions Critical Criteria:
Apply Data Mining Extensions decisions and budget for Data Mining Extensions challenges.
– How can we incorporate support to ensure safe and effective use of Active Data Dictionary into the services that we provide?
– What is the purpose of Active Data Dictionary in relation to the mission?
Data warehouse automation Critical Criteria:
Own Data warehouse automation goals and perfect Data warehouse automation conflict management.
– What threat is Active Data Dictionary addressing?
Early-arriving fact Critical Criteria:
Test Early-arriving fact visions and report on developing an effective Early-arriving fact strategy.
– Can Management personnel recognize the monetary benefit of Active Data Dictionary?
Metadata repository Critical Criteria:
Merge Metadata repository engagements and finalize specific methods for Metadata repository acceptance.
Data element Critical Criteria:
Weigh in on Data element projects and be persistent.
– Is there an existing data element or combination of data elements that can answer the same question that the proposed new data element is meant to address?
– Is collecting this data element the most efficient way to influence practice, policy, or research?
– Is collecting this data element the most efficient way to influence practice policy, or research?
– Who can provide us with information about our current data systems and data elements?
– At what organizational level is it appropriate to have a new data element?
– How can the data element influence practice, policy, or research?
– At what level is it appropriate to maintain a new data element?
– Can the data element be clearly and commonly defined?
Data hierarchy Critical Criteria:
Have a round table over Data hierarchy failures and know what your objective is.
– When a Active Data Dictionary manager recognizes a problem, what options are available?
– Have you identified your Active Data Dictionary key performance indicators?
Application security Critical Criteria:
Refer to Application security outcomes and get going.
– How does the organization define, manage, and improve its Active Data Dictionary processes?
– Who Is Responsible for Web Application Security in the Cloud?
Data dictionary Critical Criteria:
Chat re Data dictionary engagements and separate what are the business goals Data dictionary is aiming to achieve.
– What types of information should be included in the data dictionary?
– Is there a data dictionary?
Sixth normal form Critical Criteria:
X-ray Sixth normal form quality and oversee Sixth normal form requirements.
Column-oriented DBMS Critical Criteria:
Detail Column-oriented DBMS adoptions and look in other fields.
Fact table Critical Criteria:
Guide Fact table quality and get going.
– How important is Active Data Dictionary to the user organizations mission?
Operational data store Critical Criteria:
Facilitate Operational data store visions and document what potential Operational data store megatrends could make our business model obsolete.
– How do senior leaders actions reflect a commitment to the organizations Active Data Dictionary values?
– Are accountability and ownership for Active Data Dictionary clearly defined?
This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the Active Data Dictionary Self Assessment:
Author: Gerard Blokdijk
CEO at The Art of Service | http://theartofservice.com
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.
To address the criteria in this checklist, these selected resources are provided for sources of further research and information:
Active Data Dictionary External links:
[PDF]2011 Approved Active Data Dictionary – STAR? Standard
Active Data Dictionary – Gartner IT Glossary
Active Data Dictionary Definition – avglobal.solutions
ISO/IEC 11179 External links:
[PDF]Constellation: A Prototype ISO/IEC 11179 Metadata …
http://ISO/IEC 11179 (formally known as the ISO/IEC 11179 Metadata Registry (MDR) standard) is an international standard for representing metadata for an organization in a metadata registry. Organizations exchange data between computer systems precisely using enterprise application integration technologies.
ISO/IEC 11179 specifies the kind and quality of metadata necessary to describe data, and it specifies the management and administration of that metadata in a metadata registry (MDR).
Metadata registry External links:
GHO | Visualizations | Indicator Metadata Registry
ERIC – Distributed Interoperable Metadata Registry; How …
Home – Aristotle Open Metadata Registry
Decision support system External links:
Decision Support Systems – Journal – Elsevier
Decision Support System – DSS Definition – Investopedia
What is Decision Support System | InTechOpen
Base One International External links:
Base One International Corporation by States – Hours Guide
Base One International | Crunchbase
Data mart External links:
[PDF]Meta-data and Data Mart solutions for better …
[PDF]Institutional Research Data Mart: Instructor Guide …
MPR Data Mart
Data vault modeling External links:
Data Vault Modeling and Snowflake | Snowflake
Data vault modeling Facts for Kids | KidzSearch.com
[PDF]Data Vault Modeling – NYOUG
Data warehouse External links:
Enterprise Data Warehouse | IT@UMN
Title 2 Data Warehouse – Data.gov
EZ Data Warehouse
Data extraction External links:
Data Extraction Specialist Jobs, Employment | Indeed.com
[PDF]Data extraction Presentation – PBworks
NeXtraction – Intelligent Data Extraction
Software framework External links:
What is Software Framework? – Definition from Techopedia
Application software External links:
Title application software Free Download for Windows
Dimension table External links:
Types Of Dimension Table – Edureka Blog
Dimension Table – msdn.microsoft.com
Pipe Dimension Table – Grating
Anchor Modeling External links:
Anchor Modeling – Home | Facebook
Anchor Modeling (@anchormodeling) | Twitter
Data modeling External links:
The Difference Between Data Analysis and Data Modeling
Data modeling (Book, 1999) [WorldCat.org]
Data Modeling | IT Pro
Vocabulary OneSource External links:
Vocabulary OneSource | Facebook
Query optimization External links:
Query Optimization Flashcards | Quizlet
EverSQL – SQL Query Optimization Tool Online
Execution plan viewer and query optimization – ApexSQL …
IBM System i External links:
IBM System i | AS/400 ISeries
ADM960_Col10_2013_Title | Ibm System I | Transport …
Configuring AS400 for emails | Ibm System I | Email
Dimensional modeling External links:
[PDF]Dimensional Modeling 101 – Purdue University
[PDF]Dimensional Modeling: In a Business Intelligence …
[PDF]Basics of Dimensional Modeling – University of …
Data mining External links:
[PDF]Data Mining Mining Text Data – tutorialspoint.com
UT Data Mining
Data Mining : the Textbook (eBook, 2015) [WorldCat.org]
Rapid application development External links:
Pega 7 Platform: Rapid Application Development | Pega
Best Rapid Application Development (RAD) Software in …
Quick Base Blog | Low Code Rapid Application Development
Semantic spectrum External links:
Bundles – Tagged “semantic spectrum” – Pennington …
Entity-relationship model External links:
[PDF]Chapter 2: Entity-Relationship Model
Enhanced Entity-Relationship Model
Comparison of OLAP Servers External links:
COMPARISON OF OLAP SERVERS – The Economic Times
Oracle Corporation External links:
ORCL: Oracle Corporation – Detailed Estimates – Zacks.com
Oracle Corporation (ORCL) After Hours Trading – NASDAQ.com
Oracle Corporation – ORCL – Stock Price Today – Zacks
Class library External links:
Upgrade PCL to .NET Standard Class Library – Xamarin Help
What is class library? – Definition from WhatIs.com
Extract, transform, load External links:
What is ETL (Extract, Transform, Load)? Webopedia …
ETL (Extract, transform, load) Salary | PayScale
http://www.payscale.com › United States › Skill/Specialty
Distributed database External links:
Distributed database systems (Book, 2012) [WorldCat.org]
[PDF]Distributed Database Management Systems
http://vulms.vu.edu.pk/Courses/CS712/Downloads/1 to 24 ddbs.pdf
Azure Cosmos DB – Globally Distributed Database …
Database management system External links:
Relational Database Management System (RDBMS) – Techopedia.com
Relational Database Management System | MariaDB Products
ChurchSuite – Church Database Management System
Data loading External links:
The Data Loading Performance Guide – technet.microsoft.com
Slowly changing dimension External links:
Datastage training – Slowly Changing Dimension – Learn …
SSIS Slowly Changing Dimension Type 0 – Tutorial Gateway
SSIS Slowly Changing Dimension Type 2 – Tutorial Gateway
Business intelligence software External links:
Jaspersoft Business Intelligence Software
Best Embedded Business Intelligence Software in 2018 | …
Mortgage Business Intelligence Software :: Motivity Solutions
Software component External links:
Software Component Integration Testing | NIST
Web based itrezzo Self Service Update software component
What is a software component? | Software Architecture
XML for Analysis External links:
XML for Analysis (XMLA) – technet.microsoft.com
[PDF]XML for Analysis Specification
XML for Analysis (XMLA) Reference | Microsoft Docs
Visual DataFlex External links:
Visual DataFlex – Association for Computing Machinery
Visual DataFlex Support – HCSS
http://Visual DataFlex has been re-branded as DataFlex by Data Access Worldwide as of the release of version 2014/18.0 in August, 2014. The latest information about the product is consolidated in the DataFlex article. Visual DataFlex is a 4GL programming language and IDE/Studio targeted at application developers needing to rapidly create Windows client-server and web database business applications.
Foreign key External links:
FOREIGN KEY Constraints – technet.microsoft.com
Foreign Key | FileMaker Community
python – Use multiple foreign keys – Stack Overflow
OLAP cube External links:
How to Create OLAP Cube in Analysis Services: 9 Steps
Data Warehouse vs. OLAP Cube? – Stack Overflow
Analyze OLAP cube data with Excel | Microsoft Docs
Data validation External links:
Data Validation Monitoring Overview
Description and examples of data validation in Excel
Data Validation – OWASP
Online analytical processing External links:
Working with Online Analytical Processing (OLAP)
Degenerate dimension External links:
Degenerate Dimension Part 1 – Build Fact Table – YouTube
Data Warehousing: What is degenerate dimension? – …
Degenerate Dimension – YouTube
Integrated Authority File External links:
Integrated authority file: IAF – Digital Collections
Integrated Authority File (GND) – Deutsche Nationalbibliothek
Surrogate key External links:
What is a surrogate key in a relational database? – Quora
INSERT ALL INTO and Sequence.nextval for a Surrogate Key
Data transformation External links:
[PDF]Data transformation and normality – Evaluation
Data transformation | FileMaker Community
Data transformation (Computer file, 1987) [WorldCat.org]
Oracle Database External links:
FREE download Oracle Database Tables – WinSite
Page Title – Oracle Database
Data Mining Extensions External links:
Data Mining Extensions (DMX) Syntax Conventions
Data Mining Extensions (DMX) Reference | Microsoft Docs
Data Mining Extensions (DMX) Reference
Data warehouse automation External links:
dwh42.de – Data Warehouse Automation – zonwhois.com
Data Warehouse Automation | Magnitude Software
Early-arriving fact External links:
Early-arriving fact – Revolvy
Metadata repository External links:
Historical Observing Metadata Repository (HOMR) | …
[PDF]Metadata Repository Design Concepts – ir.unlv.edu
[PDF]DESIGNING A METADATA REPOSITORY – UNECE …
Data element External links:
[PDF]na DMV 349 CRASH REPORT DATA ELEMENT …
[PDF]Data Element Description
[PDF]Alphabetical Data Element List
Data hierarchy External links:
What Is Data Hierarchy? – wiseGEEK
What is DATA HIERARCHY? What does DATA HIERARCHY …
Application security External links:
BLM Application Security System
Application Security News, Tutorials & Tools – DZone
Program Rules – Application Security – Google
Data dictionary External links:
Data Standards & Data Dictionary, Volume II – NAACCR
What is a Data Dictionary? – Bridging the Gap
NTDS 2018 Data Dictionary
Sixth normal form External links:
On the Sixth Normal Form – Anchor Modeling
sql – design – sixth normal form – Stack Overflow
6NF abbreviation stands for Sixth normal form – All Acronyms
Column-oriented DBMS External links:
[PDF]C-Store: A Column-oriented DBMS – MIT Database …
ClickHouse — open source distributed column-oriented DBMS
Paper Review: C-Store: A column-oriented DBMS
Fact table External links:
Factless Fact Table – Wisdomschema
Fact table – Oracle FAQ
Multiple Fact Tables – Common Dimensions |Tableau …
Operational data store External links:
Operational Data Store (ODS) Defined | James Serra’s Blog
ODS-Operational Data Store
[PDF]Banner Operational Data Store – Software and …