IR_OLAP - NDSU Computer Science
... Dimension tables, such as item (item_name, brand, type), or time(day, week, month, quarter, ...
... Dimension tables, such as item (item_name, brand, type), or time(day, week, month, quarter, ...
Paper 203
... could be realized if the data were to be stored in a relational database consisting of SAS data tables, as soon as the data were collected. Unfortunately, those responsible for developing data storage applications are often trained in administering databases other than SAS, and do not know how to cr ...
... could be realized if the data were to be stored in a relational database consisting of SAS data tables, as soon as the data were collected. Unfortunately, those responsible for developing data storage applications are often trained in administering databases other than SAS, and do not know how to cr ...
Safeguarding data - University of Hertfordshire
... responsible for your data and that you retain your intellectual property rights, • the rules change depending on where in the world your data is being held, • back-up policies and versioning vary, ...
... responsible for your data and that you retain your intellectual property rights, • the rules change depending on where in the world your data is being held, • back-up policies and versioning vary, ...
A Survey on Data Mining and its Applications
... queries and fast response times are important. OLAP however is a basic function of a data warehouse system. It focuses on data analysis and decision making, based on the content of the data warehouse and it is subject oriented thus implying it is organized around a certain main subject [5] . It is b ...
... queries and fast response times are important. OLAP however is a basic function of a data warehouse system. It focuses on data analysis and decision making, based on the content of the data warehouse and it is subject oriented thus implying it is organized around a certain main subject [5] . It is b ...
of changed data
... Define Pool to buffer the changes Define processing script to implement into the target database Use project wizard to specify the work-flow ...
... Define Pool to buffer the changes Define processing script to implement into the target database Use project wizard to specify the work-flow ...
Oracle ADF for Forms Developers
... • You can code more than just Java in JDeveloper • It fully supports Oracle ADF • It is the best tool for creating an application that uses Oracle database and middleware suite ...
... • You can code more than just Java in JDeveloper • It fully supports Oracle ADF • It is the best tool for creating an application that uses Oracle database and middleware suite ...
Intro to Access 2007
... ▫ Access can hold much more data than Excel and is better at storing text ▫ Access is also a better choice when there are multiple users working on one data file since Access only locks a record when a user is changing it. ...
... ▫ Access can hold much more data than Excel and is better at storing text ▫ Access is also a better choice when there are multiple users working on one data file since Access only locks a record when a user is changing it. ...
CS 345: Topics in Data Warehousing
... Clustering and Data Warehouses • Typically clustering is performed externally to database server – Similar to association rule mining – Data mining process: ...
... Clustering and Data Warehouses • Typically clustering is performed externally to database server – Similar to association rule mining – Data mining process: ...
IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727 PP 41-47 www.iosrjournals.org
... c. Knowledge discovery and agents:The Knowledge Discovery Agents are used to determine the final computed results in success or failure along with the explanation on computed data. These decisions are taken on the basis of defined requirements in the repository. d. The Metadata or agent repository i ...
... c. Knowledge discovery and agents:The Knowledge Discovery Agents are used to determine the final computed results in success or failure along with the explanation on computed data. These decisions are taken on the basis of defined requirements in the repository. d. The Metadata or agent repository i ...
Data Warehouse Development
... A data warehousing process that consists of extraction (i.e., reading data from a database), transformation (i.e., converting the extracted data from its previous form into the form in which it needs to be so that it can be placed into a data warehouse or simply another database), and load (i.e., pu ...
... A data warehousing process that consists of extraction (i.e., reading data from a database), transformation (i.e., converting the extracted data from its previous form into the form in which it needs to be so that it can be placed into a data warehouse or simply another database), and load (i.e., pu ...
Non-interoperable Systems Phase Out
... Leslie Armstrong, deputy staff director of the US Federal Geographic Data Committee, explained US federal government efforts to create standard data models for Framework Data: "The UML (Unified Modeling Language) models will be transitioned to GML when the standards are complete. Those systems that ...
... Leslie Armstrong, deputy staff director of the US Federal Geographic Data Committee, explained US federal government efforts to create standard data models for Framework Data: "The UML (Unified Modeling Language) models will be transitioned to GML when the standards are complete. Those systems that ...
On-Line Analytical Processing (OLAP) What is OLAP? OLAP is more
... The tutorial to this point has provided you with a definition of OLAP, a description of cubes, the meaning of dimensions, and a description of categories. The focus now is an explanation of measures. The measures are the actual data values that occupy the cells as defined by the dimensions selected. ...
... The tutorial to this point has provided you with a definition of OLAP, a description of cubes, the meaning of dimensions, and a description of categories. The focus now is an explanation of measures. The measures are the actual data values that occupy the cells as defined by the dimensions selected. ...
Information Systems And Databases
... Description specifies the contents of the field. A data dictionary is a fundamental tool in the development of a database. It consists of metadata, or information about data. It provides a common ground for people working on a project at the same time. For example, if people are 48 Core working on ...
... Description specifies the contents of the field. A data dictionary is a fundamental tool in the development of a database. It consists of metadata, or information about data. It provides a common ground for people working on a project at the same time. For example, if people are 48 Core working on ...
Information Systems And Databases - MDCC
... Description specifies the contents of the field. A data dictionary is a fundamental tool in the development of a database. It consists of metadata, or information about data. It provides a common ground for people working on a project at the same time. For example, if people are 48 Core working on ...
... Description specifies the contents of the field. A data dictionary is a fundamental tool in the development of a database. It consists of metadata, or information about data. It provides a common ground for people working on a project at the same time. For example, if people are 48 Core working on ...
Working in the GEON Portal
... The “two-tier” approach – Use best practices, including use of commercial tools and open standards, where applicable… – …while developing advanced technology, and doing CS research An equal partnership – IT works in close conjunction with science to help create data sharing frameworks, best practice ...
... The “two-tier” approach – Use best practices, including use of commercial tools and open standards, where applicable… – …while developing advanced technology, and doing CS research An equal partnership – IT works in close conjunction with science to help create data sharing frameworks, best practice ...
Introduction to Databases - Department of Software and Information
... a composite primary key, called fact table, and set of smaller tables called dimension tables Each dimension table has simple (non-composite) primary key that corresponds exactly to one component of composite key in fact table ...
... a composite primary key, called fact table, and set of smaller tables called dimension tables Each dimension table has simple (non-composite) primary key that corresponds exactly to one component of composite key in fact table ...
Data Preprocessing Techniques for Data Mining
... example, known functional dependencies between attributes can be used to find values contradicting the functional constraints. Data Integration It is likely that your data analysis task will involve data integration, which combines data from multiple sources into a coherent data store, as in data wa ...
... example, known functional dependencies between attributes can be used to find values contradicting the functional constraints. Data Integration It is likely that your data analysis task will involve data integration, which combines data from multiple sources into a coherent data store, as in data wa ...
Consolidate Your Operational and Analytical Data in One
... faster data access, analytics, and reporting. Because of the column-based architecture, even data that’s rarely used (and for which no more updates are anticipated) is always still available to users. This architecture also enables significantly faster performance and higher compression rates (up to ...
... faster data access, analytics, and reporting. Because of the column-based architecture, even data that’s rarely used (and for which no more updates are anticipated) is always still available to users. This architecture also enables significantly faster performance and higher compression rates (up to ...
ArcGIS Spatial Analyst, ArcGIS 3D Analyst posters
... scale to assess the likelihood that a grizzly bear would prefer a particular location. ...
... scale to assess the likelihood that a grizzly bear would prefer a particular location. ...
Aalborg Universitet Multidimensional Modeling Pedersen, Torben Bach
... concepts of multidimensional modeling such as summarizability (ensuring correct aggregate query results for complex data) have their roots in this area. An overview is found in [15]. In 1991, Arbor was formed with the specific purpose of creating “a multiuser, multidimensional database server,” whic ...
... concepts of multidimensional modeling such as summarizability (ensuring correct aggregate query results for complex data) have their roots in this area. An overview is found in [15]. In 1991, Arbor was formed with the specific purpose of creating “a multiuser, multidimensional database server,” whic ...
database
... • Store geographic features represented as points, lines, or polygons, and their attributes; ...
... • Store geographic features represented as points, lines, or polygons, and their attributes; ...
An Introduction to Information Systems
... Database Design (continued) • The first three stages are performed by, for example, interviewing staff (managers and users), observing staff at work and reviewing existing documentation • Relationships between entities are governed by enterprise (or ‘business’) rules • Resolving a relationship mean ...
... Database Design (continued) • The first three stages are performed by, for example, interviewing staff (managers and users), observing staff at work and reviewing existing documentation • Relationships between entities are governed by enterprise (or ‘business’) rules • Resolving a relationship mean ...
Data Warehouses, Data Marts, and Data Warehousing
... Processing (OLAP) Servers. Some of these components have been or will be discussed elsewhere. But it is important to recognize that they are all BPEs because they process business rules, both declarative and procedural, and maintain state in memory. Finally, AKM is the acronym for Active Knowledge M ...
... Processing (OLAP) Servers. Some of these components have been or will be discussed elsewhere. But it is important to recognize that they are all BPEs because they process business rules, both declarative and procedural, and maintain state in memory. Finally, AKM is the acronym for Active Knowledge M ...
The Role of Database Management Systems for Investigative Data
... upon the specific circumstances of that community. It is realized that an advantage to one community of u~en:i may al.:tually be considered a disadvantage to another. We will list some of the more commonly cited advantages and let the reader judge their importance to his setting: A. Reduction in dat ...
... upon the specific circumstances of that community. It is realized that an advantage to one community of u~en:i may al.:tually be considered a disadvantage to another. We will list some of the more commonly cited advantages and let the reader judge their importance to his setting: A. Reduction in dat ...
Data warehousing with PostgreSQL
... • Allow to analyse, transform, model and deliver data within the database server ...
... • Allow to analyse, transform, model and deliver data within the database server ...
Data model
A data model organizes data elements and standardizes how the data elements relate to one another. Since data elements document real life people, places and things and the events between them, the data model represents reality, for example a house has many windows or a cat has two eyes. Computers are used for the accounting of these real life things and events and therefore the data model is a necessary standard to ensure exact communication between human beings.Data models are often used as an aid to communication between the business people defining the requirements for a computer system and the technical people defining the design in response to those requirements. They are used to show the data needed and created by business processes.Precise accounting and communication is a large expense and organizations traditionally paid the cost by having employees translate between themselves on an ad hoc basis. In critical situations such as air travel, healthcare and finance, it is becoming commonplace that the accounting and communication must be precise and therefore requires the use of common data models to obviate risk.According to Hoberman (2009), ""A data model is a wayfinding tool for both business and IT professionals, which uses a set of symbols and text to precisely explain a subset of real information to improve communication within the organization and thereby lead to a more flexible and stable application environment.""A data model explicitly determines the structure of data. Data models are specified in a data modeling notation, which is often graphical in form.A data model can be sometimes referred to as a data structure, especially in the context of programming languages. Data models are often complemented by function models, especially in the context of enterprise models.