206 In-Depth Active Data Dictionary Questions for Professionals

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 206 essential critical questions to check off in that domain.

The following domains are covered:

Active Data Dictionary, Distributed database, Dimensional modeling, Database schema, Metadata repository, Integrated Authority File, Early-arriving fact, Online analytical processing, Anchor Modeling, Dimension table, Data vault modeling, Data Mining Extensions, Data extraction, Sixth normal form, Fact table, Class library, Data dictionary, Base One International, XML for Analysis, ISO/IEC 11179, Data transformation, Metadata registry, Foreign key, Data mining, Application security, Comparison of OLAP Servers, Active Data Dictionary, Surrogate key, Business intelligence, Slowly changing dimension, Vocabulary OneSource, Oracle Corporation, Application software, MultiDimensional eXpressions, Column-oriented DBMS, Entity-relationship model, Operational data store, Data warehouse, Oracle Database, Visual DataFlex, IBM System i, Decision support system, Data loading, Business intelligence software, Data warehouse automation, Data modeling, Semantic spectrum, Database management system, Data hierarchy, OLAP cube, Data element, Query optimization, Rapid application development, Software framework, Extract, transform, load, Data mart, Degenerate dimension, Data validation:

Active Data Dictionary Critical Criteria:

Debate over Active Data Dictionary outcomes and find the essential reading for Active Data Dictionary researchers.

– How do mission and objectives affect the Active Data Dictionary processes of our organization?

Distributed database Critical Criteria:

Air ideas re Distributed database engagements and check on ways to get started with Distributed database.

– What systems are similar to or may have influenced Bitcoins eventually consistent distributed database?

– What are your most important goals for the strategic Active Data Dictionary objectives?

– Do we all define Active Data Dictionary in the same way?

Dimensional modeling Critical Criteria:

Face Dimensional modeling planning and simulate teachings and consultations on quality process improvement of Dimensional modeling.

– 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?

– How can we incorporate support to ensure safe and effective use of Active Data Dictionary into the services that we provide?

– What role does communication play in the success or failure of a Active Data Dictionary project?

Database schema Critical Criteria:

Discuss Database schema outcomes and probe Database schema strategic alliances.

– What is the total cost related to deploying Active Data Dictionary, including any consulting or professional services?

– When a Active Data Dictionary manager recognizes a problem, what options are available?

Metadata repository Critical Criteria:

Merge Metadata repository tactics and suggest using storytelling to create more compelling Metadata repository projects.

– Do we monitor the Active Data Dictionary decisions made and fine tune them as they evolve?

– Is Active Data Dictionary Realistic, or are you setting yourself up for failure?

– Why are Active Data Dictionary skills important?

Integrated Authority File Critical Criteria:

Recall Integrated Authority File decisions and achieve a single Integrated Authority File view and bringing data together.

– 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?

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

– Is Active Data Dictionary dependent on the successful delivery of a current project?

Early-arriving fact Critical Criteria:

Canvass Early-arriving fact strategies and describe which business rules are needed as Early-arriving fact interface.

– What tools and technologies are needed for a custom Active Data Dictionary project?

– Who will provide the final approval of Active Data Dictionary deliverables?

Online analytical processing Critical Criteria:

Deliberate over Online analytical processing goals and stake your claim.

– What tools do you use once you have decided on a Active Data Dictionary strategy and more importantly how do you choose?

– Which individuals, teams or departments will be involved in Active Data Dictionary?

Anchor Modeling Critical Criteria:

Canvass Anchor Modeling adoptions and do something to it.

– Does Active Data Dictionary 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?

– To what extent does management recognize Active Data Dictionary as a tool to increase the results?

Dimension table Critical Criteria:

Trace Dimension table results and optimize Dimension table leadership as a key to advancement.

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

– What new services of functionality will be implemented next with Active Data Dictionary ?

– Is Active Data Dictionary Required?

Data vault modeling Critical Criteria:

Disseminate Data vault modeling planning and explain and analyze the challenges of Data vault modeling.

– Are assumptions made in Active Data Dictionary stated explicitly?

– How to Secure Active Data Dictionary?

Data Mining Extensions Critical Criteria:

Boost Data Mining Extensions management and drive action.

– Meeting the challenge: are missed Active Data Dictionary opportunities costing us money?

– Is Supporting Active Data Dictionary documentation required?

Data extraction Critical Criteria:

Devise Data extraction outcomes and triple focus on important concepts of Data extraction relationship management.

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

– Are accountability and ownership for Active Data Dictionary clearly defined?

– How can data extraction from dashboards be automated?

Sixth normal form Critical Criteria:

Analyze Sixth normal form projects and look for lots of ideas.

– How do your measurements capture actionable Active Data Dictionary information for use in exceeding your customers expectations and securing your customers engagement?

– What are the Essentials of Internal Active Data Dictionary Management?

– How to deal with Active Data Dictionary Changes?

Fact table Critical Criteria:

Co-operate on Fact table projects and maintain Fact table for success.

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

– What other jobs or tasks affect the performance of the steps in the Active Data Dictionary process?

– What are all of our Active Data Dictionary domains and what do they do?

Class library Critical Criteria:

Deliberate Class library projects and catalog what business benefits will Class library goals deliver if achieved.

– 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 are our Active Data Dictionary Processes?

Data dictionary Critical Criteria:

Deliberate over Data dictionary engagements and report on the economics of relationships managing Data dictionary and constraints.

– Do several people in different organizational units assist with the Active Data Dictionary process?

– What types of information should be included in the data dictionary?

– What are the long-term Active Data Dictionary goals?

– How can the value of Active Data Dictionary be defined?

– Is there a data dictionary?

Base One International Critical Criteria:

Design Base One International goals and define what do we need to start doing with Base One International.

– Who will be responsible for deciding whether Active Data Dictionary goes ahead or not after the initial investigations?

– What prevents me from making the changes I know will make me a more effective Active Data Dictionary leader?

– What are the usability implications of Active Data Dictionary actions?

XML for Analysis Critical Criteria:

Have a round table over XML for Analysis visions and arbitrate XML for Analysis techniques that enhance teamwork and productivity.

– Do those selected for the Active Data Dictionary team have a good general understanding of what Active Data Dictionary is all about?

– What are the barriers to increased Active Data Dictionary production?

ISO/IEC 11179 Critical Criteria:

Review ISO/IEC 11179 goals and maintain ISO/IEC 11179 for success.

– Does our organization need more Active Data Dictionary education?

– Are there recognized Active Data Dictionary problems?

Data transformation Critical Criteria:

Exchange ideas about Data transformation failures and acquire concise Data transformation education.

– What are the disruptive Active Data Dictionary technologies that enable our organization to radically change our business processes?

– Describe the process of data transformation required by your system?

– What is the process of data transformation required by your system?

– How much does Active Data Dictionary help?

Metadata registry Critical Criteria:

Gauge Metadata registry strategies and pay attention to the small things.

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

– Who will be responsible for making the decisions to include or exclude requested changes once Active Data Dictionary is underway?

Foreign key Critical Criteria:

Powwow over Foreign key leadership and display thorough understanding of the Foreign key process.

– What vendors make products that address the Active Data Dictionary needs?

– Who needs to know about Active Data Dictionary ?

– Do we have past Active Data Dictionary Successes?

Data mining Critical Criteria:

Set goals for Data mining leadership and report on developing an effective Data mining strategy.

– 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?

– 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?

– What sources do you use to gather information for a Active Data Dictionary study?

– Is business intelligence set to play a key role in the future of Human Resources?

– What programs do we have to teach data mining?

– How do we maintain Active Data Dictionarys Integrity?

Application security Critical Criteria:

Discuss Application security outcomes and explain and analyze the challenges of Application security.

– What are the top 3 things at the forefront of our Active Data Dictionary agendas for the next 3 years?

– Who Is Responsible for Web Application Security in the Cloud?

– Have all basic functions of Active Data Dictionary been defined?

Comparison of OLAP Servers Critical Criteria:

X-ray Comparison of OLAP Servers tactics and don’t overlook the obvious.

– 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?

– What are specific Active Data Dictionary Rules to follow?

Active Data Dictionary Critical Criteria:

Have a round table over Active Data Dictionary engagements and describe which business rules are needed as Active Data Dictionary interface.

– Who is responsible for ensuring appropriate resources (time, people and money) are allocated to Active Data Dictionary?

Surrogate key Critical Criteria:

Have a session on Surrogate key issues and achieve a single Surrogate key view and bringing data together.

– What are the success criteria that will indicate that Active Data Dictionary objectives have been met and the benefits delivered?

– How can we improve Active Data Dictionary?

Business intelligence Critical Criteria:

Survey Business intelligence visions and attract Business intelligence skills.

– How should a complicated business setup their business intelligence and analysis to make decisions best?

– What strategies will we pursue to ensure the success of the business intelligence competency center?

– Which core Oracle Business Intelligence or Big Data Analytics products are used in your solution?

– Does your BI solution allow analytical insights to happen anywhere and everywhere?

– What documentation is provided with the software / system and in what format?

– what is the difference between Data analytics and Business Analytics If Any?

– What is your anticipated learning curve for Technical Administrators?

– Is Data Warehouseing necessary for a business intelligence service?

– Does your BI solution require weeks or months to deploy or change?

– What type and complexity of system administration roles?

– How would you broadly categorize the different BI tools?

– What are alternatives to building a data warehouse?

– Is your software easy for it to manage and upgrade?

– What is the future of BI Score cards KPI etc?

– What level of training would you recommend?

– What is your expect product life cycle?

– Is your BI software easy to understand?

– Why do we need business intelligence?

– Types of data sources supported?

Slowly changing dimension Critical Criteria:

Discuss Slowly changing dimension decisions and change contexts.

– How does the organization define, manage, and improve its Active Data Dictionary processes?

Vocabulary OneSource Critical Criteria:

Guard Vocabulary OneSource adoptions and look in other fields.

– Will new equipment/products be required to facilitate Active Data Dictionary delivery for example is new software needed?

Oracle Corporation Critical Criteria:

Demonstrate Oracle Corporation leadership and question.

Application software Critical Criteria:

Interpolate Application software management and acquire concise Application software education.

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

– How do you manage the new access devices using their own new application software?

– Is the process effectively supported by the legacy application software?

– How do we Improve Active Data Dictionary service perception, and satisfaction?

MultiDimensional eXpressions Critical Criteria:

Track MultiDimensional eXpressions adoptions and learn.

– Are there any disadvantages to implementing Active Data Dictionary? There might be some that are less obvious?

Column-oriented DBMS Critical Criteria:

Troubleshoot Column-oriented DBMS quality and intervene in Column-oriented DBMS processes and leadership.

Entity-relationship model Critical Criteria:

Huddle over Entity-relationship model goals and oversee implementation of Entity-relationship model.

– How do we ensure that implementations of Active Data Dictionary products are done in a way that ensures safety?

– What are the short and long-term Active Data Dictionary goals?

– What are internal and external Active Data Dictionary relations?

Operational data store Critical Criteria:

Check Operational data store leadership and cater for concise Operational data store education.

– Is there a Active Data Dictionary Communication plan covering who needs to get what information when?

– Are we Assessing Active Data Dictionary and Risk?

Data warehouse Critical Criteria:

Generalize Data warehouse planning and optimize Data warehouse leadership as a key to advancement.

– What tier data server has been identified for the storage of decision support data contained in a data warehouse?

– Do we need an enterprise data warehouse, a Data Lake, or both as part of our overall data architecture?

– What does a typical data warehouse and business intelligence organizational structure look like?

– Does big data threaten the traditional data warehouse business intelligence model stack?

– Is data warehouseing necessary for our business intelligence service?

– What is the difference between a database and data warehouse?

– What is the purpose of data warehouses and data marts?

– Do we offer a good introduction to data warehouse?

– Data Warehouse versus Data Lake (Data Swamp)?

– Do you still need a data warehouse?

– Centralized data warehouse?

Oracle Database Critical Criteria:

Do a round table on Oracle Database adoptions and perfect Oracle Database conflict management.

– Do you monitor the effectiveness of your Active Data Dictionary activities?

– How do we Identify specific Active Data Dictionary investment and emerging trends?

Visual DataFlex Critical Criteria:

Pay attention to Visual DataFlex outcomes and work towards be a leading Visual DataFlex expert.

– What other organizational variables, such as reward systems or communication systems, affect the performance of this Active Data Dictionary process?

IBM System i Critical Criteria:

Analyze IBM System i quality and describe the risks of IBM System i sustainability.

– Are there Active Data Dictionary problems defined?

Decision support system Critical Criteria:

Nurse Decision support system tactics and attract Decision support system skills.

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

– A heuristic, a decision support system, or new practices to improve current project management?

– Do Active Data Dictionary rules make a reasonable demand on a users capabilities?

– What are the business goals Active Data Dictionary is aiming to achieve?

Data loading Critical Criteria:

Deduce Data loading quality and find the essential reading for Data loading researchers.

– Is the Active Data Dictionary organization completing tasks effectively and efficiently?

– Why should we adopt a Active Data Dictionary framework?

Business intelligence software Critical Criteria:

Have a round table over Business intelligence software outcomes and improve Business intelligence software service perception.

– What are our needs in relation to Active Data Dictionary skills, labor, equipment, and markets?

Data warehouse automation Critical Criteria:

Trace Data warehouse automation adoptions and transcribe Data warehouse automation as tomorrows backbone for success.

– Do the Active Data Dictionary decisions we make today help people and the planet tomorrow?

Data modeling Critical Criteria:

Discuss Data modeling failures and find the ideas you already have.

– How do we go about Securing Active Data Dictionary?

Semantic spectrum Critical Criteria:

Study Semantic spectrum management and gather practices for scaling Semantic spectrum.

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

– What are the Key enablers to make this Active Data Dictionary move?

Database management system Critical Criteria:

Own Database management system strategies and finalize specific methods for Database management system acceptance.

– What database management systems have been implemented?

– What is Effective Active Data Dictionary?

Data hierarchy Critical Criteria:

Scrutinze Data hierarchy failures and know what your objective is.

OLAP cube Critical Criteria:

Investigate OLAP cube issues and adjust implementation of OLAP cube.

– Who sets the Active Data Dictionary standards?

Data element Critical Criteria:

Contribute to Data element goals and point out improvements in Data element.

– 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?

– What about Active Data Dictionary Analysis of results?

Query optimization Critical Criteria:

Give examples of Query optimization engagements and describe the risks of Query optimization sustainability.

– Does Active Data Dictionary systematically track and analyze outcomes for accountability and quality improvement?

– Does the Active Data Dictionary task fit the clients priorities?

Rapid application development Critical Criteria:

Concentrate on Rapid application development management and simulate teachings and consultations on quality process improvement of Rapid application development.

– Will applications programmers and systems analysts become nothing more than evaluators of packaged software?

– What type of feasibility is concerned with whether the project violates particular laws or regulations?

– How are we going to realize the benefits of reusability if we keep shrinking the analysis phase?

– Which systems play a pivotal role in our organizations continued operations and goal attainment?

– Schedule feasibility -can the solution be designed and implemented within an acceptable time?

– What type of feasibility is concerned with whether the project makes financial sense?

– What sets of objectives are important to our systems development project?

– What are the advantages and disadvantages of using a rad proces?

– Which sdlc results in the highest degree of user participation?

– What are the primary advantages of the traditional sdlc?

– Did usability perceptions change during the rad proces?

– Is the system large and can it be sensibly split up?

– Who are the potential users of the new application?

– What are the potential costs (variable and fixed)?

– How can you tell when a system is successful ?

– Is the functionality visible through the uis?

– Is the system heavy on computation?

– What are the associated risks?

– Why?

Software framework Critical Criteria:

Contribute to Software framework projects and question.

– Can we do Active Data Dictionary without complex (expensive) analysis?

Extract, transform, load Critical Criteria:

Guard Extract, transform, load risks and track iterative Extract, transform, load results.

– What may be the consequences for the performance of an organization if all stakeholders are not consulted regarding Active Data Dictionary?

– What is our Active Data Dictionary Strategy?

Data mart Critical Criteria:

Dissect Data mart projects and oversee implementation of Data mart.

– How will you measure your Active Data Dictionary effectiveness?

Degenerate dimension Critical Criteria:

Review Degenerate dimension failures and transcribe Degenerate dimension as tomorrows backbone for success.

– How can you measure Active Data Dictionary in a systematic way?

Data validation Critical Criteria:

Test Data validation visions and sort Data validation activities.

– How do senior leaders actions reflect a commitment to the organizations Active Data Dictionary values?


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.

External links:

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

Active Data Dictionary External links:


Active Data Dictionary – Gartner IT Glossary

ADD abbreviation stands for Active Data Dictionary

Distributed database External links:

Distributed database systems (eBook, 2009) …


Azure Cosmos DB – Globally Distributed Database …

Dimensional modeling External links:

Three-dimensional modeling of wave-induced residual …

Where do we do dimensional modeling with Hadoop? – …

Three-Dimensional Modeling | 3-D model | COST of …

Database schema External links:

What is purpose of database schema? – Stack Overflow

Database Schema for Survey Help! | FileMaker Community

What does the IMDb’s database schema look like? – Quora

Metadata repository External links:

Historical Observing Metadata Repository (HOMR) | …


Metadata Repository – Reusable BI Data Objects | …

Integrated Authority File External links:

MEDLARS indexing: integrated authority file

MEDLARS indexing integrated authority file : chemical section

MEDLARS indexing integrated authority file: chemical section

Early-arriving fact External links:

Early-arriving fact – Revolvy
https://broom02.revolvy.com/topic/Early-arriving fact

Online analytical processing External links:

Working with Online Analytical Processing (OLAP)

Anchor Modeling External links:

Anchor Modeling – Home | Facebook

Home | Anchor Modeling Academy

Anchor Modeling (@anchormodeling) | Twitter

Dimension table External links:

Pipe Dimension Table – Grating


Dimension Table – msdn.microsoft.com

Data vault modeling External links:

Data Vault Modeling and Snowflake | Snowflake

[PDF]Data Vault Modeling – NYOUG

Data vault modeling Facts for Kids | KidzSearch.com

Data Mining Extensions External links:

Data Mining Extensions (DMX) Reference | Microsoft Docs

Data Mining Extensions (DMX) Reference

Data extraction External links:

[PDF]Data extraction Presentation – PBworks

NeXtraction – Intelligent Data Extraction

Sixth normal form External links:

Sixth normal form – Google Groups

sql – design – sixth normal form – Stack Overflow

6NF abbreviation stands for Sixth normal form – All Acronyms

Fact table External links:

Factless Fact Table – Wisdomschema

ssas – MDX filter on 2 fact table attributes – Stack Overflow

Factless Fact Table | Learn about Factless Fact Table

Class library External links:

Java Class Library Flashcards | Quizlet

MSDN – .NET Framework Class Library

.NET Framework Class Library () – msdn.microsoft.com

Data dictionary External links:

What is a Data Dictionary? – Bridging the Gap

[PDF]Data Dictionary O*NET

7 The Data Dictionary – Oracle

Base One International External links:

Base One International | Crunchbase

XML for Analysis External links:

[PDF]XML for Analysis Specification

XML for Analysis (XMLA) – technet.microsoft.com

XML for Analysis – Simba Technologies

ISO/IEC 11179 External links:

METADATA REGISTRY, ISO/IEC 11179 – Digital Library

ISO/IEC 11179
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.

Data transformation External links:

Data transformation | FileMaker Community

Data transformation (Computer file, 1987) [WorldCat.org]

[PDF]Data transformation and normality – Evaluation

Metadata registry External links:

ERIC – Distributed Interoperable Metadata Registry; How …

Home – Aristotle Open Metadata Registry

Foreign key External links:

Foreign Keys – MariaDB Knowledge Base

Foreign Key | FileMaker Community

mysql – Sequelize.js foreign key – Stack Overflow

Data mining External links:

Title Data Mining Jobs, Employment | Indeed.com

UT Data Mining

[PDF]Data Mining Mining Text Data – tutorialspoint.com

Application security External links:

BLM Application Security System

Chrome Rewards – Application Security – Google

Application Security News, Tutorials & Tools – DZone

Comparison of OLAP Servers External links:

Comparison of OLAP Servers – topics.revolvy.com
https://topics.revolvy.com/topic/Comparison of OLAP Servers


Active Data Dictionary External links:

Active Data Dictionary – Gartner IT Glossary

ADD abbreviation stands for Active Data Dictionary


Surrogate key External links:

Difference between a primary key and a surrogate key

What is a surrogate key in a relational database? – Quora

Business intelligence External links:

List of Business Intelligence Skills – The Balance

Mortgage Business Intelligence Software :: Motivity Solutions

Slowly changing dimension External links:

SSIS Slowly Changing Dimension Type 2 – Tutorial Gateway

SSIS- Slowly Changing Dimension (SCD) Tutorial

sql – Slowly changing dimension by date only – Stack Overflow

Vocabulary OneSource External links:

Vocabulary OneSource | Facebook

Oracle Corporation External links:

ORCL: Oracle Corporation – Detailed Estimates – Zacks.com

Oracle Corporation – ORCL – Stock Price Today – Zacks

Oracle Corporation (ORCL) After Hours Trading – NASDAQ.com

Application software External links:

Title application software Free Download for Windows

Application Software for Secondary Mortgage Management

wiTECH Diagnostic Application Software Download – …

MultiDimensional eXpressions External links:

Multidimensional Expressions (MDX) Reference

Column-oriented DBMS External links:

[PDF]C-Store: A Column-oriented DBMS – MIT Database …

Column-oriented DBMS |THWACK

[PDF]Materialization Strategies in a Column-Oriented DBMS

Entity-relationship model External links:

Entity-Relationship Model

[PDF]Chapter 2: Entity-Relationship Model

Operational data store External links:

Are Operational Data Store Still Leveraged – Stack Overflow

Operational Data Store (ODS) Defined | James Serra’s Blog

Data warehouse External links:

[PDF]Data Warehouse – Utility’s Smart Grid Clearinghouse
http://smartgrid.epri.com/UseCases/DW – Utility DOE SG Clearhouse_ph2add.pdf

data warehouse jobs | Dice.com

Title Data Warehouse Analyst Jobs, Employment | Indeed.com

Oracle Database External links:

Oracle Database | Integrigy

Page Title – Oracle Database

Visual DataFlex External links:

Visual DataFlex – Association for Computing Machinery

Visual Dataflex | { eriksven.com }

Visual DataFlex Support – HCSS

IBM System i External links:

IBM System i | AS/400 ISeries

IBM System i Access for Windows Home Page – ibm.com

Solutions for IBM System i | Pinnacle

Decision support system External links:

Decision Support System – DSS – Investopedia

CureMatch Decision Support System For Oncologist to …

North Carolina Accounting System Decision Support System

Data loading External links:

The Data Loading Performance Guide – technet.microsoft.com

Business intelligence software External links:

Business Intelligence Software | Products

Mortgage Business Intelligence Software :: Motivity Solutions

Enterprise BI, Business Intelligence Software – Birst

Data warehouse automation External links:

biready.com : Data Warehouse Automation | Home | BIReady

Data modeling External links:

What is data modeling? – Definition from WhatIs.com

Data modeling (Book, 1995) [WorldCat.org]

| Peace, Love, Data Modeling

Database management system External links:

Petroleum Database Management System (PDMS)

Database management system | computing | Britannica.com

10-7 Operating System, Database Management System, …

Data hierarchy External links:

What Is Data Hierarchy? – wiseGEEK

OLAP cube External links:

Analyze OLAP cube data with Excel | Microsoft Docs

OLAP cube / Analysis Services = error on transport layer

How to Create OLAP Cube in Analysis Services: 9 Steps

Data element External links:

[PDF]Data Element Description
https://www.ssa.gov/dataexchange/documents/SDX record.pdf

Query optimization External links:

Execution plan viewer and query optimization – ApexSQL …

EverSQL – SQL Query Optimization Tool Online

Rapid application development External links:

What’s a rapid application development model? – Quora

Pega 7 Platform: Rapid Application Development | Pega

Software framework External links:

What is Software Framework? – Definition from Techopedia

What is a software framework? – Stack Overflow

Extract, transform, load External links:

What is ETL (Extract, Transform, Load)? Webopedia Definition

ETL (Extract, transform, load) Salary | PayScale
http://www.payscale.com › United States › Skill/Specialty

Data mart External links:

MPR Data Mart

[PDF]Meta-data and Data Mart solutions for better …

UNC Data Mart – University of North Carolina

Degenerate dimension External links:

Degenerate Dimension – YouTube

Data Warehousing: What is degenerate dimension? – …

Data validation External links:

Description and examples of data validation in Excel

Excel Drop Down Lists – Data Validation

Data Validation – OWASP

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