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management.
MODELING HIERARCHIES A hierarchy according to Webster is a “group of persons or things arranged in order to rank grade, class, etc.” Examples are organization structures, product reporting structures, employee-manager relations, and customer-to-customer relationships. There are three issues with hierarchical data: EXTRACTION, TRANSFORMATION, AND LOAD ISSUES AND Extraction, Transformation, and Load Issues and Approaches. Published: January 1, 20008:30 am. Author Van Scott. Published in TDAN.com January 2000. Introduction. Many of the Business Intelligence tools look way cool. They provide graphs, moving targets, drill-downs, and drill-through. But much of the work in an operational data warehouse BIG DATA REQUIRES BIGGER HARDWARE Big Data Requires Bigger Hardware. The data revolution is undoubtedly upon us. Big Data is no longer just for mega-corporations like Google or Apple. Even small, up and coming businesses these days have their eye on Big Data. Companies have high hopes for data analysis, such as ensuring smoother scaling or enhancing customer-centric operations. TDAN.COMARTICLESCOLUMNSFEATURESBLOGSNEWSEVENTS Welcome to DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for. Published: May 19, 2021. 12:05 am. Author DAMA International. THREE LEVELS OF DATA GOVERNANCE COMMUNICATIONS Introduction. . Communications, even better, the improvement of communications around managing data and information as a valued enterprise asset, is a primary focus of many Data Governance programs.Through some recent client experiences I have found a new way to view communications around data governance which include separating the communications into three different levels. COMPLETE SET OF DATA GOVERNANCE ROLES A DATA GOVERNANCE MANAGER JOB DESCRIPTION TOP TEN TIPS FOR DATA WAREHOUSE SUCCESS Allow adequate time for training – Even if the tools are intuitive, training is still required to understand the data and know how to validate the query results. Clean the data – The users will walk away if their reports and queries are wrong. Dirty data will deliver incorrect reports. Measure results, usage and DATA MODELING, RDF, & OWL Published in TDAN.com April 2006 Everyone HOW TO CREATE A DATA ADMINISTRATION MISSION Anne Marie Smith, Ph.D. Anne Marie Smith, Ph.D., is an acclaimed data management professional, consultant, author and speaker in the fields of enterprise information management, data stewardship and governance, data warehousing, data modeling, project management, business requirements management, IS strategic planning and metadatamanagement.
MODELING HIERARCHIES A hierarchy according to Webster is a “group of persons or things arranged in order to rank grade, class, etc.” Examples are organization structures, product reporting structures, employee-manager relations, and customer-to-customer relationships. There are three issues with hierarchical data: EXTRACTION, TRANSFORMATION, AND LOAD ISSUES AND Extraction, Transformation, and Load Issues and Approaches. Published: January 1, 20008:30 am. Author Van Scott. Published in TDAN.com January 2000. Introduction. Many of the Business Intelligence tools look way cool. They provide graphs, moving targets, drill-downs, and drill-through. But much of the work in an operational data warehouse BIG DATA REQUIRES BIGGER HARDWARE Big Data Requires Bigger Hardware. The data revolution is undoubtedly upon us. Big Data is no longer just for mega-corporations like Google or Apple. Even small, up and coming businesses these days have their eye on Big Data. Companies have high hopes for data analysis, such as ensuring smoother scaling or enhancing customer-centric operations. BUSINESS REQUIREMENTS GATHERING Published in TDAN.com January 2000 Requirements gathering (data and process) is a vital part of successful project management and application development—well-known and publicly available research, such as the Standish Group’s Chaos Report, has shown this. Even though there is recognition of the importance of requirements gathering for application development, not enough has been done to INTRODUCTION TO GEOSPATIAL DATA MANAGEMENT This article provides a very brief introduction to geographic information systems (GIS) technology and the unique kinds of GIS data files that enable such technology. Most data management professionals are more experienced with “classical” tabular data in Cartesian (rows and columns) structures as found in most business, government and scientific databases. Geospatial data has a DATA MODELING, RDF, & OWL Published in TDAN.com April 2006 [This is the first of three articles discussing the new/old ideas of semantics and ontology and how they affect the way we analyze data.This article introduces the main concepts, and the second article will show an example of converting a data model to the web ontology EXTRACTION, TRANSFORMATION, AND LOAD ISSUES AND Extraction, Transformation, and Load Issues and Approaches. Published: January 1, 20008:30 am. Author Van Scott. Published in TDAN.com January 2000. Introduction. Many of the Business Intelligence tools look way cool. They provide graphs, moving targets, drill-downs, and drill-through. But much of the work in an operational data warehouse KEY FEATURES NEEDED IN A DATA MODELING TOOL The key features you need in a tool can be categorized as follows: Core Modeling. Support for required levels and types of data models. Generating new models from existing models. Model subsets and model validation. Definition of atomic data elements, prior to their incorporation in data models. In Physical Data Models, direct supportfor all
DATA MANAGEMENT POLICY: A CORNERSTONE OF DATA Robert S. Seiner. Robert S. (Bob) Seiner is the publisher of The Data Administration Newsletter – and has been since it was introduced in 1997 – providing valuable content for people that work in Information & Data Management and related fields.TDAN.com is known for its timely and relevant articles, columns and features from thought-leaders and practitioners. THE EDBA AND DATA AVAILABILITY along the way to becoming an eDBA, that is, a DBA who manages the data of an e-business. The First Important Issue is Availability. Because an e-business is an online business, it can never close. There is no such thing as a batch window for an e-business application. Customers expect full functionality on the Web regardless of. MODELING HIERARCHIES A hierarchy according to Webster is a “group of persons or things arranged in order to rank grade, class, etc.” Examples are organization structures, product reporting structures, employee-manager relations, and customer-to-customer relationships. There are three issues with hierarchical data: DATA AND DATABASE MANAGEMENT: CENTRALIZED VERSUS Published in TDAN.com July 2005 Traditionally in many organizations, the control of data resources has been centralized due to the origin of data management within the mainframe environment. However, with the emergence of client-server technology and the blending of data and process in the object-oriented methodologies, many organizations are questioning the need to retain the WHAT’S WRONG WITH THE ZACHMAN FRAMEWORK? Published in TDAN.com January 2005 Introduction When I first encountered the Zachman Framework around 15 years ago, I was struck by its elegance and generality. In common with the best data models, it provided a new and revealing way of perceiving information, yet one which seemed so natural that my immediate response was “why hasn’t TDAN.COMARTICLESCOLUMNSFEATURESBLOGSNEWSEVENTS Welcome to DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for. Published: May 19, 2021. 12:05 am. Author DAMA International. THREE LEVELS OF DATA GOVERNANCE COMMUNICATIONS Introduction. . Communications, even better, the improvement of communications around managing data and information as a valued enterprise asset, is a primary focus of many Data Governance programs.Through some recent client experiences I have found a new way to view communications around data governance which include separating the communications into three different levels. COMPLETE SET OF DATA GOVERNANCE ROLES A DATA GOVERNANCE MANAGER JOB DESCRIPTION TOP TEN TIPS FOR DATA WAREHOUSE SUCCESS Allow adequate time for training – Even if the tools are intuitive, training is still required to understand the data and know how to validate the query results. Clean the data – The users will walk away if their reports and queries are wrong. Dirty data will deliver incorrect reports. Measure results, usage and DATA MODELING, RDF, & OWL Published in TDAN.com April 2006 Everyone HOW TO CREATE A DATA ADMINISTRATION MISSION Anne Marie Smith, Ph.D. Anne Marie Smith, Ph.D., is an acclaimed data management professional, consultant, author and speaker in the fields of enterprise information management, data stewardship and governance, data warehousing, data modeling, project management, business requirements management, IS strategic planning and metadatamanagement.
MODELING HIERARCHIES A hierarchy according to Webster is a “group of persons or things arranged in order to rank grade, class, etc.” Examples are organization structures, product reporting structures, employee-manager relations, and customer-to-customer relationships. There are three issues with hierarchical data: EXTRACTION, TRANSFORMATION, AND LOAD ISSUES AND Extraction, Transformation, and Load Issues and Approaches. Published: January 1, 20008:30 am. Author Van Scott. Published in TDAN.com January 2000. Introduction. Many of the Business Intelligence tools look way cool. They provide graphs, moving targets, drill-downs, and drill-through. But much of the work in an operational data warehouse BIG DATA REQUIRES BIGGER HARDWARE Big Data Requires Bigger Hardware. The data revolution is undoubtedly upon us. Big Data is no longer just for mega-corporations like Google or Apple. Even small, up and coming businesses these days have their eye on Big Data. Companies have high hopes for data analysis, such as ensuring smoother scaling or enhancing customer-centric operations. TDAN.COMARTICLESCOLUMNSFEATURESBLOGSNEWSEVENTS Welcome to DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for. Published: May 19, 2021. 12:05 am. Author DAMA International. THREE LEVELS OF DATA GOVERNANCE COMMUNICATIONS Introduction. . Communications, even better, the improvement of communications around managing data and information as a valued enterprise asset, is a primary focus of many Data Governance programs.Through some recent client experiences I have found a new way to view communications around data governance which include separating the communications into three different levels. COMPLETE SET OF DATA GOVERNANCE ROLES A DATA GOVERNANCE MANAGER JOB DESCRIPTION TOP TEN TIPS FOR DATA WAREHOUSE SUCCESS Allow adequate time for training – Even if the tools are intuitive, training is still required to understand the data and know how to validate the query results. Clean the data – The users will walk away if their reports and queries are wrong. Dirty data will deliver incorrect reports. Measure results, usage and DATA MODELING, RDF, & OWL Published in TDAN.com April 2006 Everyone HOW TO CREATE A DATA ADMINISTRATION MISSION Anne Marie Smith, Ph.D. Anne Marie Smith, Ph.D., is an acclaimed data management professional, consultant, author and speaker in the fields of enterprise information management, data stewardship and governance, data warehousing, data modeling, project management, business requirements management, IS strategic planning and metadatamanagement.
MODELING HIERARCHIES A hierarchy according to Webster is a “group of persons or things arranged in order to rank grade, class, etc.” Examples are organization structures, product reporting structures, employee-manager relations, and customer-to-customer relationships. There are three issues with hierarchical data: EXTRACTION, TRANSFORMATION, AND LOAD ISSUES AND Extraction, Transformation, and Load Issues and Approaches. Published: January 1, 20008:30 am. Author Van Scott. Published in TDAN.com January 2000. Introduction. Many of the Business Intelligence tools look way cool. They provide graphs, moving targets, drill-downs, and drill-through. But much of the work in an operational data warehouse BIG DATA REQUIRES BIGGER HARDWARE Big Data Requires Bigger Hardware. The data revolution is undoubtedly upon us. Big Data is no longer just for mega-corporations like Google or Apple. Even small, up and coming businesses these days have their eye on Big Data. Companies have high hopes for data analysis, such as ensuring smoother scaling or enhancing customer-centric operations. BUSINESS REQUIREMENTS GATHERING Published in TDAN.com January 2000 Requirements gathering (data and process) is a vital part of successful project management and application development—well-known and publicly available research, such as the Standish Group’s Chaos Report, has shown this. Even though there is recognition of the importance of requirements gathering for application development, not enough has been done to INTRODUCTION TO GEOSPATIAL DATA MANAGEMENT This article provides a very brief introduction to geographic information systems (GIS) technology and the unique kinds of GIS data files that enable such technology. Most data management professionals are more experienced with “classical” tabular data in Cartesian (rows and columns) structures as found in most business, government and scientific databases. Geospatial data has a DATA MODELING, RDF, & OWL Published in TDAN.com April 2006 [This is the first of three articles discussing the new/old ideas of semantics and ontology and how they affect the way we analyze data.This article introduces the main concepts, and the second article will show an example of converting a data model to the web ontology EXTRACTION, TRANSFORMATION, AND LOAD ISSUES AND Extraction, Transformation, and Load Issues and Approaches. Published: January 1, 20008:30 am. Author Van Scott. Published in TDAN.com January 2000. Introduction. Many of the Business Intelligence tools look way cool. They provide graphs, moving targets, drill-downs, and drill-through. But much of the work in an operational data warehouse KEY FEATURES NEEDED IN A DATA MODELING TOOL The key features you need in a tool can be categorized as follows: Core Modeling. Support for required levels and types of data models. Generating new models from existing models. Model subsets and model validation. Definition of atomic data elements, prior to their incorporation in data models. In Physical Data Models, direct supportfor all
DATA MANAGEMENT POLICY: A CORNERSTONE OF DATA Robert S. Seiner. Robert S. (Bob) Seiner is the publisher of The Data Administration Newsletter – and has been since it was introduced in 1997 – providing valuable content for people that work in Information & Data Management and related fields.TDAN.com is known for its timely and relevant articles, columns and features from thought-leaders and practitioners. THE EDBA AND DATA AVAILABILITY along the way to becoming an eDBA, that is, a DBA who manages the data of an e-business. The First Important Issue is Availability. Because an e-business is an online business, it can never close. There is no such thing as a batch window for an e-business application. Customers expect full functionality on the Web regardless of. MODELING HIERARCHIES A hierarchy according to Webster is a “group of persons or things arranged in order to rank grade, class, etc.” Examples are organization structures, product reporting structures, employee-manager relations, and customer-to-customer relationships. There are three issues with hierarchical data: DATA AND DATABASE MANAGEMENT: CENTRALIZED VERSUS Published in TDAN.com July 2005 Traditionally in many organizations, the control of data resources has been centralized due to the origin of data management within the mainframe environment. However, with the emergence of client-server technology and the blending of data and process in the object-oriented methodologies, many organizations are questioning the need to retain the WHAT’S WRONG WITH THE ZACHMAN FRAMEWORK? Published in TDAN.com January 2005 Introduction When I first encountered the Zachman Framework around 15 years ago, I was struck by its elegance and generality. In common with the best data models, it provided a new and revealing way of perceiving information, yet one which seemed so natural that my immediate response was “why hasn’t TDAN.COMARTICLESCOLUMNSFEATURESBLOGSNEWSEVENTS Welcome to DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for. Published: May 19, 2021. 12:05 am. Author DAMA International. BUSINESS ANALYSIS: A GUIDE TO BETTER SOFTWARE The guide to better software evaluation has resulted from a number of successful product selections to the value of $12 million. The full process, from project initiation to selection, can take. between 50 – 80 days to conduct. Figure 1: Indicative Project Plan. The activity duration ranges, outlined above, allow for variations inproject
BUSINESS REQUIREMENTS GATHERING Published in TDAN.com January 2000 Requirements gathering (data and process) is a vital part of successful project management and application development—well-known and publicly available research, such as the Standish Group’s Chaos Report, has shown this. Even though there is recognition of the importance of requirements gathering for application development, not enough has been done to FIRST-TIME RIGHT RATIO: MEASURING THE MEASURERS Timothy Ryan. Timothy is Vice President of Head of Performance Management at Hartford Investment Management Company. He has more than 15 years of industry experience, is a member of the Advisory Board of The Journal of Performance Measurement (/i), and a frequent conference presenter and author of performance articles, 2004 recipient of the Dietz Award for Performance Measurement Literature HOW TO CREATE A DATA ADMINISTRATION MISSION Anne Marie Smith, Ph.D. Anne Marie Smith, Ph.D., is an acclaimed data management professional, consultant, author and speaker in the fields of enterprise information management, data stewardship and governance, data warehousing, data modeling, project management, business requirements management, IS strategic planning and metadatamanagement.
A DATA GOVERNANCE MANAGER JOB DESCRIPTION MODELING BUSINESS RULES: WHAT DATA MODELS DO A data model can show two and a half of the four kinds of business rules: terms, facts, and the result of derivations. It can show a limited number of the fourth kind: constraints. But. fundamentally, it cannot show that a row must be or may not be updated under specific circumstances. A data model can, however, portray the data parametersthat
COMPLETE SET OF DATA GOVERNANCE ROLES BIG DATA REQUIRES BIGGER HARDWARE Big Data Requires Bigger Hardware. The data revolution is undoubtedly upon us. Big Data is no longer just for mega-corporations like Google or Apple. Even small, up and coming businesses these days have their eye on Big Data. Companies have high hopes for data analysis, such as ensuring smoother scaling or enhancing customer-centric operations. SERVICE LEVEL REQUIREMENTS (SLR) AS THE ORIGIN OF THE SLASEE MORE ONTDAN.COM
TDAN.COMARTICLESCOLUMNSFEATURESBLOGSNEWSEVENTS Welcome to DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for. Published: May 19, 2021. 12:05 am. Author DAMA International. BUSINESS ANALYSIS: A GUIDE TO BETTER SOFTWARE The guide to better software evaluation has resulted from a number of successful product selections to the value of $12 million. The full process, from project initiation to selection, can take. between 50 – 80 days to conduct. Figure 1: Indicative Project Plan. The activity duration ranges, outlined above, allow for variations inproject
BUSINESS REQUIREMENTS GATHERING Published in TDAN.com January 2000 Requirements gathering (data and process) is a vital part of successful project management and application development—well-known and publicly available research, such as the Standish Group’s Chaos Report, has shown this. Even though there is recognition of the importance of requirements gathering for application development, not enough has been done to FIRST-TIME RIGHT RATIO: MEASURING THE MEASURERS Timothy Ryan. Timothy is Vice President of Head of Performance Management at Hartford Investment Management Company. He has more than 15 years of industry experience, is a member of the Advisory Board of The Journal of Performance Measurement (/i), and a frequent conference presenter and author of performance articles, 2004 recipient of the Dietz Award for Performance Measurement Literature HOW TO CREATE A DATA ADMINISTRATION MISSION Anne Marie Smith, Ph.D. Anne Marie Smith, Ph.D., is an acclaimed data management professional, consultant, author and speaker in the fields of enterprise information management, data stewardship and governance, data warehousing, data modeling, project management, business requirements management, IS strategic planning and metadatamanagement.
A DATA GOVERNANCE MANAGER JOB DESCRIPTION MODELING BUSINESS RULES: WHAT DATA MODELS DO A data model can show two and a half of the four kinds of business rules: terms, facts, and the result of derivations. It can show a limited number of the fourth kind: constraints. But. fundamentally, it cannot show that a row must be or may not be updated under specific circumstances. A data model can, however, portray the data parametersthat
COMPLETE SET OF DATA GOVERNANCE ROLES BIG DATA REQUIRES BIGGER HARDWARE Big Data Requires Bigger Hardware. The data revolution is undoubtedly upon us. Big Data is no longer just for mega-corporations like Google or Apple. Even small, up and coming businesses these days have their eye on Big Data. Companies have high hopes for data analysis, such as ensuring smoother scaling or enhancing customer-centric operations. SERVICE LEVEL REQUIREMENTS (SLR) AS THE ORIGIN OF THE SLASEE MORE ONTDAN.COM
STAGES AND TYPES OF DATA MODELS Three different types of data models exist, each of which plays a distinct role in data modeling. They help an organization’s efforts in organizing, understanding, and making productive use of enterprise data resources. There are three stages of data modeling, with each stage pertaining to its own type of data model – conceptual datamodels,
DATA VAULT SERIES 4
Abstract. The purpose of this paper is to present and discuss a patent-pending technique called a Data Vault™ – the next evolution in data modeling for enterprise data warehousing. This is the. fourth paper in a series of papers that will be published on a Data Vault. This paper explores the Data Vault example from Series 3 and extendsthe
THE ENTERPRISE DATA MODEL Introduction An Enterprise Data Model is an integrated view of the data produced and consumed across an entire organization. It incorporates an appropriate industry perspective. An Enterprise Data Model (EDM) represents a single integrated definition of data, unbiased of any system or application. It is independent of “how” the data is physically sourced, stored, processed THREE LEVELS OF DATA GOVERNANCE COMMUNICATIONS Introduction. . Communications, even better, the improvement of communications around managing data and information as a valued enterprise asset, is a primary focus of many Data Governance programs.Through some recent client experiences I have found a new way to view communications around data governance which include separating the communications into three different levels. MODELING HIERARCHIES A hierarchy according to Webster is a “group of persons or things arranged in order to rank grade, class, etc.” Examples are organization structures, product reporting structures, employee-manager relations, and customer-to-customer relationships. There are three issues with hierarchical data: EXTRACTION, TRANSFORMATION, AND LOAD ISSUES AND Extraction, Transformation, and Load Issues and Approaches. Published: January 1, 20008:30 am. Author Van Scott. Published in TDAN.com January 2000. Introduction. Many of the Business Intelligence tools look way cool. They provide graphs, moving targets, drill-downs, and drill-through. But much of the work in an operational data warehouse SERVICE LEVEL REQUIREMENTS (SLR) AS THE ORIGIN OF THE SLA Service Level Management (SLM) is the process that takes care of both the SLA and the SLR from the beginning (determining and negotiating), through revisions until the SLA is created. Since there is a customer requirement where it all starts, it’s a good idea to involve your customer from the beginning. There are several reasons for that THE DATA-CENTRIC REVOLUTION: SEMANTICS AND THE DAMA WHEEL The Data-Centric Revolution: Semantics and the DAMA Wheel. Published: December 4, 201912:10 am. Author Dave McComb. Recently, I was giving a presentation and someone asked me which segment of “the DAMA wheel” did I think semantics most affected. I said I thought it affected all of them pretty profoundly, but perhaps the Metadata wedgethe most.
WHAT’S WRONG WITH THE ZACHMAN FRAMEWORK? Published in TDAN.com January 2005 Introduction When I first encountered the Zachman Framework around 15 years ago, I was struck by its elegance and generality. In common with the best data models, it provided a new and revealing way of perceiving information, yet one which seemed so natural that my immediate response was “why hasn’t IRM: DATA ADMINISTRATION VS. DATABASE Throughout the history of Information Resource Management, there have been questions surrounding the necessity for multiple disciplines within the IRM domain. Many organizations do not recognize the essential differences between Data Administration and Database Administration. As a result, there exists much confusion over the roles of Data Administration and Database Administration, and their BUSINESS REQUIREMENTS GATHERING Published in TDAN.com January 2000 Requirements gathering (data and process) is a vital part of successful project management and application development—well-known and publicly available research, such as the Standish Group’s Chaos Report, has shown this. Even though there is recognition of the importance of requirements gathering for application development, not enough has been done to THREE LEVELS OF DATA GOVERNANCE COMMUNICATIONS Introduction. . Communications, even better, the improvement of communications around managing data and information as a valued enterprise asset, is a primary focus of many Data Governance programs.Through some recent client experiences I have found a new way to view communications around data governance which include separating the communications into three different levels. TOP TEN TIPS FOR DATA WAREHOUSE SUCCESS Allow adequate time for training – Even if the tools are intuitive, training is still required to understand the data and know how to validate the query results. Clean the data – The users will walk away if their reports and queries are wrong. Dirty data will deliver incorrect reports. Measure results, usage and EXTRACTION, TRANSFORMATION, AND LOAD ISSUES AND Extraction, Transformation, and Load Issues and Approaches. Published: January 1, 20008:30 am. Author Van Scott. Published in TDAN.com January 2000. Introduction. Many of the Business Intelligence tools look way cool. They provide graphs, moving targets, drill-downs, and drill-through. But much of the work in an operational data warehouse THE FUTURE OF RELATIONAL DATABASES The Future of Relational Databases. NoSQL is all the rage, and many people are considering a move to NoSQL database systems. Database users sense that relational database systems are yesterday’s technology and NoSQL is the future. They look at high-volume websites embracing NoSQL and assume these companies are at the forefront of anew wave
COMPLETE SET OF DATA GOVERNANCE ROLES A DATA GOVERNANCE MANAGER JOB DESCRIPTION HOW TO CREATE A DATA ADMINISTRATION MISSION Anne Marie Smith, Ph.D. Anne Marie Smith, Ph.D., is an acclaimed data management professional, consultant, author and speaker in the fields of enterprise information management, data stewardship and governance, data warehousing, data modeling, project management, business requirements management, IS strategic planning and metadatamanagement.
HOW TO DO A DATA WAREHOUSE ASSESSMENT (AND WHY) Published in TDAN.com July 2000 Why Assessments and an Assessment Methodology are Needed – What an Assessment is In the relative time scale of technology change, data warehousing has been around for a while. Discussion of “the mature data warehouse” and “second generation warehousing” is becoming increasingly common. Many, if not most, large organizations have BIG DATA REQUIRES BIGGER HARDWARE Big Data Requires Bigger Hardware. The data revolution is undoubtedly upon us. Big Data is no longer just for mega-corporations like Google or Apple. Even small, up and coming businesses these days have their eye on Big Data. Companies have high hopes for data analysis, such as ensuring smoother scaling or enhancing customer-centric operations. BUSINESS REQUIREMENTS GATHERING Published in TDAN.com January 2000 Requirements gathering (data and process) is a vital part of successful project management and application development—well-known and publicly available research, such as the Standish Group’s Chaos Report, has shown this. Even though there is recognition of the importance of requirements gathering for application development, not enough has been done to THREE LEVELS OF DATA GOVERNANCE COMMUNICATIONS Introduction. . Communications, even better, the improvement of communications around managing data and information as a valued enterprise asset, is a primary focus of many Data Governance programs.Through some recent client experiences I have found a new way to view communications around data governance which include separating the communications into three different levels. TOP TEN TIPS FOR DATA WAREHOUSE SUCCESS Allow adequate time for training – Even if the tools are intuitive, training is still required to understand the data and know how to validate the query results. Clean the data – The users will walk away if their reports and queries are wrong. Dirty data will deliver incorrect reports. Measure results, usage and EXTRACTION, TRANSFORMATION, AND LOAD ISSUES AND Extraction, Transformation, and Load Issues and Approaches. Published: January 1, 20008:30 am. Author Van Scott. Published in TDAN.com January 2000. Introduction. Many of the Business Intelligence tools look way cool. They provide graphs, moving targets, drill-downs, and drill-through. But much of the work in an operational data warehouse THE FUTURE OF RELATIONAL DATABASES The Future of Relational Databases. NoSQL is all the rage, and many people are considering a move to NoSQL database systems. Database users sense that relational database systems are yesterday’s technology and NoSQL is the future. They look at high-volume websites embracing NoSQL and assume these companies are at the forefront of anew wave
COMPLETE SET OF DATA GOVERNANCE ROLES A DATA GOVERNANCE MANAGER JOB DESCRIPTION HOW TO CREATE A DATA ADMINISTRATION MISSION Anne Marie Smith, Ph.D. Anne Marie Smith, Ph.D., is an acclaimed data management professional, consultant, author and speaker in the fields of enterprise information management, data stewardship and governance, data warehousing, data modeling, project management, business requirements management, IS strategic planning and metadatamanagement.
HOW TO DO A DATA WAREHOUSE ASSESSMENT (AND WHY) Published in TDAN.com July 2000 Why Assessments and an Assessment Methodology are Needed – What an Assessment is In the relative time scale of technology change, data warehousing has been around for a while. Discussion of “the mature data warehouse” and “second generation warehousing” is becoming increasingly common. Many, if not most, large organizations have BIG DATA REQUIRES BIGGER HARDWARE Big Data Requires Bigger Hardware. The data revolution is undoubtedly upon us. Big Data is no longer just for mega-corporations like Google or Apple. Even small, up and coming businesses these days have their eye on Big Data. Companies have high hopes for data analysis, such as ensuring smoother scaling or enhancing customer-centric operations.TDAN.COM
Welcome to DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for. Published: May 19, 2021. 12:05 am. Author DAMA International. INTRODUCTION TO GEOSPATIAL DATA MANAGEMENT This article provides a very brief introduction to geographic information systems (GIS) technology and the unique kinds of GIS data files that enable such technology. Most data management professionals are more experienced with “classical” tabular data in Cartesian (rows and columns) structures as found in most business, government and scientific databases. Geospatial data has aPROLIFERATION
The Data-Centric Revolution: Fighting Class Proliferation. One of the ideas we promote is elegance in the core data model in a Data-Centricenterprise.
KEY FEATURES NEEDED IN A DATA MODELING TOOL The key features you need in a tool can be categorized as follows: Core Modeling. Support for required levels and types of data models. Generating new models from existing models. Model subsets and model validation. Definition of atomic data elements, prior to their incorporation in data models. In Physical Data Models, direct supportfor all
IS ARTIFICIAL INTELLIGENCE A PROBLEM OR AN OPPORTUNITY Artificial Intelligence (AI) seems to have reached its peak, and yet it is still growing and reaching even the most remote parts of the world. There are countless benefits to this technology, including life-saving tools and systems that function with automated AI algorithms. However, some people are skeptical about the widespreadand free use of
HOW TO DO A DATA WAREHOUSE ASSESSMENT (AND WHY) Published in TDAN.com July 2000 Why Assessments and an Assessment Methodology are Needed – What an Assessment is In the relative time scale of technology change, data warehousing has been around for a while. Discussion of “the mature data warehouse” and “second generation warehousing” is becoming increasingly common. Many, if not most, large organizations have MODELING BUSINESS RULES: WHAT DATA MODELS DO A data model can show two and a half of the four kinds of business rules: terms, facts, and the result of derivations. It can show a limited number of the fourth kind: constraints. But. fundamentally, it cannot show that a row must be or may not be updated under specific circumstances. A data model can, however, portray the data parametersthat
VARSHNEY – TDAN.COM Why Data Quality Matters “Quality is never an accident. It is always the result of intelligent effort.” John Ruskin, prominent Victorianera social thinker
BUSINESS INTELLIGENCE ARTICLES The Meta-Data Fiasco. The terms meta-data and metadata have been used, misused, and abused to the point that the real meaning is totallyDATA EDUCATION
The Data Warehouse Toolkit. Author: Ralph Kimball Wiley, 1996 ISBN: 0-471-15337-0 Introduction The Data Warehouse Toolkit: PracticalTechniques for
TDAN.COMARTICLESCOLUMNSFEATURESBLOGSNEWSEVENTS Welcome to DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for. Published: May 19, 2021. 12:05 am. Author DAMA International. THE ENTERPRISE DATA MODEL BUSINESS REQUIREMENTS GATHERING Published in TDAN.com January 2000 Requirements gathering (data and process) is a vital part of successful project management and application development—well-known and publicly available research, such as the Standish Group’s Chaos Report, has shown this. Even though there is recognition of the importance of requirements gathering for application development, not enough has been done to EXTRACTION, TRANSFORMATION, AND LOAD ISSUES AND Extraction, Transformation, and Load Issues and Approaches. Published: January 1, 20008:30 am. Author Van Scott. Published in TDAN.com January 2000. Introduction. Many of the Business Intelligence tools look way cool. They provide graphs, moving targets, drill-downs, and drill-through. But much of the work in an operational data warehouse THREE LEVELS OF DATA GOVERNANCE COMMUNICATIONS Introduction. . Communications, even better, the improvement of communications around managing data and information as a valued enterprise asset, is a primary focus of many Data Governance programs.Through some recent client experiences I have found a new way to view communications around data governance which include separating the communications into three different levels. COMPLETE SET OF DATA GOVERNANCE ROLES A DATA GOVERNANCE MANAGER JOB DESCRIPTION DATA MODELING, RDF, & OWL Published in TDAN.com April 2006 Everyone HOW TO DO A DATA WAREHOUSE ASSESSMENT (AND WHY) Published in TDAN.com July 2000 Why Assessments and an Assessment Methodology are Needed – What an Assessment is In the relative time scale of technology change, data warehousing has been around for a while. Discussion of “the mature data warehouse” and “second generation warehousing” is becoming increasingly common. Many, if not most, large organizations have SO YOU WANT TO BE A DATA CHAMPION? Tom Carlock. Tom Carlock is the former Vice President of Corporate Data Management of The CIT Group, a Fortune 500 financial services firm. While at CIT, Tom was responsible for the startup of the CIT Corporate Data Management Program, focused on delivering a data governance program in addition to a customer master data management(MDM) solution.
TDAN.COMARTICLESCOLUMNSFEATURESBLOGSNEWSEVENTS Welcome to DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for. Published: May 19, 2021. 12:05 am. Author DAMA International. THE ENTERPRISE DATA MODEL BUSINESS REQUIREMENTS GATHERING Published in TDAN.com January 2000 Requirements gathering (data and process) is a vital part of successful project management and application development—well-known and publicly available research, such as the Standish Group’s Chaos Report, has shown this. Even though there is recognition of the importance of requirements gathering for application development, not enough has been done to EXTRACTION, TRANSFORMATION, AND LOAD ISSUES AND Extraction, Transformation, and Load Issues and Approaches. Published: January 1, 20008:30 am. Author Van Scott. Published in TDAN.com January 2000. Introduction. Many of the Business Intelligence tools look way cool. They provide graphs, moving targets, drill-downs, and drill-through. But much of the work in an operational data warehouse THREE LEVELS OF DATA GOVERNANCE COMMUNICATIONS Introduction. . Communications, even better, the improvement of communications around managing data and information as a valued enterprise asset, is a primary focus of many Data Governance programs.Through some recent client experiences I have found a new way to view communications around data governance which include separating the communications into three different levels. COMPLETE SET OF DATA GOVERNANCE ROLES A DATA GOVERNANCE MANAGER JOB DESCRIPTION DATA MODELING, RDF, & OWL Published in TDAN.com April 2006 Everyone HOW TO DO A DATA WAREHOUSE ASSESSMENT (AND WHY) Published in TDAN.com July 2000 Why Assessments and an Assessment Methodology are Needed – What an Assessment is In the relative time scale of technology change, data warehousing has been around for a while. Discussion of “the mature data warehouse” and “second generation warehousing” is becoming increasingly common. Many, if not most, large organizations have SO YOU WANT TO BE A DATA CHAMPION? Tom Carlock. Tom Carlock is the former Vice President of Corporate Data Management of The CIT Group, a Fortune 500 financial services firm. While at CIT, Tom was responsible for the startup of the CIT Corporate Data Management Program, focused on delivering a data governance program in addition to a customer master data management(MDM) solution.
BUSINESS ANALYSIS: A GUIDE TO BETTER SOFTWARE The guide to better software evaluation has resulted from a number of successful product selections to the value of $12 million. The full process, from project initiation to selection, can take. between 50 – 80 days to conduct. Figure 1: Indicative Project Plan. The activity duration ranges, outlined above, allow for variations inproject
PROLIFERATION
The Data-Centric Revolution: Fighting Class Proliferation. One of the ideas we promote is elegance in the core data model in a Data-Centricenterprise.
TIPS TO CREATE EFFECTIVE DATA QUALITY RULES Tips to create effective data quality rules. Using tips shared below, I hope that you will be one step closer to setting up an effective data quality management process. 1. Involve subject matter experts from various departments. Different departments have diverging priorities. To devise comprehensive data quality rules, you shouldcorrectly
TOP TEN TIPS FOR DATA WAREHOUSE SUCCESS Allow adequate time for training – Even if the tools are intuitive, training is still required to understand the data and know how to validate the query results. Clean the data – The users will walk away if their reports and queries are wrong. Dirty data will deliver incorrect reports. Measure results, usage and IS ARTIFICIAL INTELLIGENCE A PROBLEM OR AN OPPORTUNITY Artificial Intelligence (AI) seems to have reached its peak, and yet it is still growing and reaching even the most remote parts of the world. There are countless benefits to this technology, including life-saving tools and systems that function with automated AI algorithms. However, some people are skeptical about the widespreadand free use of
HOW TO CREATE A DATA ADMINISTRATION MISSION Anne Marie Smith, Ph.D. Anne Marie Smith, Ph.D., is an acclaimed data management professional, consultant, author and speaker in the fields of enterprise information management, data stewardship and governance, data warehousing, data modeling, project management, business requirements management, IS strategic planning and metadatamanagement.
LEAN PRINCIPLES AND IT DEMAND MANAGEMENT Lean Thinking. Part of the legacy of the manufacturing principles from Toyota Production Systems (TPS) was Lean Thinking, which had concepts such as Just-In-Time manufacturing. This management philosophy believes in the elimination of waste in processes and the whole philosophy centers around 5 principles: Value – understanding whatthe
VARSHNEY – TDAN.COM Why Data Quality Matters “Quality is never an accident. It is always the result of intelligent effort.” John Ruskin, prominent Victorianera social thinker
DATA EDUCATION
The Data Warehouse Toolkit. Author: Ralph Kimball Wiley, 1996 ISBN: 0-471-15337-0 Introduction The Data Warehouse Toolkit: PracticalTechniques for
BUSINESS INTELLIGENCE ARTICLES The Meta-Data Fiasco. The terms meta-data and metadata have been used, misused, and abused to the point that the real meaning is totallyMENUMENU
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ACHIEVING NATURAL LANGUAGE PROCESSING THROUGH DATA TRAINING Language independence plays a significant role in the machine-learning of natural language processing (NLP). Aside from being a type of… * Published: May 19, 202112:15 am * Author Gaille Sabrina Par STAGES AND TYPES OF DATA MODELS Three different types of data models exist, each of which plays a distinct role in data modeling. They help an organization’s effortsin…
* Published: May 19, 202112:11 am * Author Robert Agar FIRST RULE OF DATA STORYTELLING Bedtime stories are as good as the problem they solve, every child will tell you that. Our children’s capacity to distinguish a good… * Published: June 2, 202112:11 am * Author Alejandro Garcia Magos IS ARTIFICIAL INTELLIGENCE A PROBLEM OR AN OPPORTUNITY? Artificial Intelligence (AI) seems to have reached its peak, and yet it is still growing and reaching even the most remote parts of the… * Published: June 2, 202112:05 am * Author John Peterson ACHIEVING NATURAL LANGUAGE PROCESSING THROUGH DATA TRAINING Language independence plays a significant role in the machine-learning of natural language processing (NLP). Aside from being a type of… * Published: May 19, 202112:15 am * Author Gaille Sabrina Par STAGES AND TYPES OF DATA MODELS Three different types of data models exist, each of which plays a distinct role in data modeling. They help an organization’s effortsin…
* Published: May 19, 202112:11 am * Author Robert Agar FIRST RULE OF DATA STORYTELLING Bedtime stories are as good as the problem they solve, every child will tell you that. Our children’s capacity to distinguish a good… * Published: June 2, 202112:11 am * Author Alejandro Garcia Magos IS ARTIFICIAL INTELLIGENCE A PROBLEM OR AN OPPORTUNITY? Artificial Intelligence (AI) seems to have reached its peak, and yet it is still growing and reaching even the most remote parts of the… * Published: June 2, 202112:05 am * Author John PetersonLATEST CONTENT
IMPORTANCE OF DATA SCIENCE IN 2021 * Published: June 2, 202112:15 am * Author Shirley Stark THROUGH THE LOOKING GLASS: DATA OWNERS AND OTHER FALLACIES * Published: June 2, 202112:13 am * Author Randall Gordon FIRST RULE OF DATA STORYTELLING * Published: June 2, 202112:11 am * Author Alejandro Garcia Magos WHY DATA QUALITY MATTERS * Published: June 2, 202112:09 am * Author Sharad Varshney THE DATA-CENTRIC REVOLUTION: FIGHTING CLASS PROLIFERATION * Published: June 2, 202112:07 am * Author Dave McComb IS ARTIFICIAL INTELLIGENCE A PROBLEM OR AN OPPORTUNITY? * Published: June 2, 202112:05 am * Author John Peterson ACHIEVING NATURAL LANGUAGE PROCESSING THROUGH DATA TRAINING * Published: May 19, 202112:15 am * Author Gaille Sabrina ParCOLUMNS
THROUGH THE LOOKING GLASS: DATA OWNERS AND OTHER FALLACIES I vividly remember reading this passage from Bob Seiner’s TDAN.com article “Things I Think I Think about Data Governance”, fromAugust 1,…
* Published: June 2, 202112:13 am * Author Randall Gordon THE DATA-CENTRIC REVOLUTION: FIGHTING CLASS PROLIFERATION One of the ideas we promote is elegance in the core data model in a Data-Centric enterprise. This is harder than it sounds. Look at… * Published: June 2, 202112:07 am * Author Dave McComb TALES & TIPS FROM THE TRENCHES: DEMYSTIFYING EDGE COMPUTING With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), MachineLearning…
* Published: May 19, 202112:09 am * Author Bonnie O'Neil DAMA INTERNATIONAL COMMUNITY CORNER: MAY 2021 ANNOUNCEMENTS Welcome to DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publicationfor…
* Published: May 19, 202112:05 am * Author DAMA InternationalBLOGS
IMPORTANCE OF DATA SCIENCE IN 2021 Data is critical for any business as it helps them make decisions based on trends, statistical numbers and facts. Due to this importanceof…
* Published: June 2, 202112:15 am * Author Shirley Stark DATA SCIENCE CAN HELP BUSINESS GROWTH DURING COVID-19 COVID-19 has made companies large and small pivot their businesses. They might change the variety of products, freeze hiring, or let… * Published: May 19, 202112:13 am * Author Artur Meyster HOW CONTEXTUAL DATA IS DRIVING THE FUTURE OF TELEHEALTH The expansion of big data applications has created opportunities across economic sectors. In healthcare, however, the potential of bigdata…
* Published: May 5, 202112:05 am * Author Beau Peters USING PREDICTIVE ANALYTICS TO IMPROVE EMPLOYEE SAFETY Employee safety is not exactly a hot topic, nor is it a particularly interesting one. Naturally, it involves a lot of procedures and… * Published: April 21, 202112:07 am * Author Sarah KaminskiFEATURES
DATA GRAVITY AND CLOUD COMPUTING Cloud computing is growing rapidly as a deployment platform for IT infrastructure because it can offer significant benefits. But cloud… * Published: March 3, 202112:11 am * Author Craig Mullins PREDICTIONS FROM 2020; FOR 2021 2020 was the kind of year that would make anyone in the predictions business more than a little gun shy. I certainly didn’t have… * Published: February 17, 202112:15 am * Author Dave Kellogg BIG DATA’S ROLE IN IMPROVING PRODUCT LIFECYCLE MANAGEMENT We’re living in a time where data is a crucial part of everything. Every day, we generate around 2.5 quintillion bytes of data, andthat…
* Published: February 3, 202112:07 am * Author Michelle Laurey WHY DATA QUALITY MATTERS “Quality is never an accident. It is always the result of intelligent effort.” John Ruskin, prominent Victorian era… * Published: June 2, 202112:09 am * Author Sharad Varshney IS DATA AN ASSET IN REAL ESTATE? How is the multi-billion real estate sector doing in a data-driven world? The industry sits on loads of data gathered about property,their…
* Published: May 19, 202112:07 am * Author Darya Efimova DATA GOVERNANCE IS A CRUCIAL PART OF YOUR BUSINESS STRATEGY Since July 2018, over €274M in fines have been enforced by the EU General Data Protection Regulation. The lion’s share… * Published: May 5, 202112:15 am * Author Lewis Wynne-Jones BUILDING A DATA GOVERNANCE BUSINESS CASE When it comes to executing a data governance strategy, there is no standard approach. Of course, there are common methods and tools,but…
* Published: April 21, 202112:13 am * Author Sharad Varshney USING DATA AND TECHNOLOGY TO INCREASE EMPLOYEE PRODUCTIVITY Any successful business knows that high levels of employee productivity is key to ultimate long-term success. Productive employees keep up… * Published: April 7, 202112:07 am * Author Beau Peters HOW ARTIFICIAL INTELLIGENCE IS EXPECTED TO CHANGE THE DEVELOPMENTPROCESS
“Robots are not going to replace humans; they are going to make their jobs much more humane. Difficult, demeaning, demanding,dangerous,…
* Published: March 17, 202112:05 am * Author Danila Petrova DATA GRAVITY AND CLOUD COMPUTING Cloud computing is growing rapidly as a deployment platform for IT infrastructure because it can offer significant benefits. But cloud… * Published: March 3, 202112:11 am * Author Craig Mullins PREDICTIONS FROM 2020; FOR 2021 2020 was the kind of year that would make anyone in the predictions business more than a little gun shy. I certainly didn’t have… * Published: February 17, 202112:15 am * Author Dave Kellogg BIG DATA’S ROLE IN IMPROVING PRODUCT LIFECYCLE MANAGEMENT We’re living in a time where data is a crucial part of everything. Every day, we generate around 2.5 quintillion bytes of data, andthat…
* Published: February 3, 202112:07 am * Author Michelle Laurey WHY DATA QUALITY MATTERS “Quality is never an accident. It is always the result of intelligent effort.” John Ruskin, prominent Victorian era… * Published: June 2, 202112:09 am * Author Sharad Varshney IS DATA AN ASSET IN REAL ESTATE? How is the multi-billion real estate sector doing in a data-driven world? The industry sits on loads of data gathered about property,their…
* Published: May 19, 202112:07 am * Author Darya Efimova DATA GOVERNANCE IS A CRUCIAL PART OF YOUR BUSINESS STRATEGY Since July 2018, over €274M in fines have been enforced by the EU General Data Protection Regulation. The lion’s share… * Published: May 5, 202112:15 am * Author Lewis Wynne-JonesSEARCH TDAN.COM
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UNIVERSAL DATA VAULT: CASE STUDY IN COMBINING “UNIVERSAL” DATA MODEL PATTERNS WITH DATA VAULT ARCHITECTURE – PART 1 * Published: November 1, 201512:20 am* Author John Giles
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