Cubes by design
... known for its powerful analytics that typically requires data to be housed in a separate SAS data set or, in the case of OLAP, inside a cube. SAS also provides the option to implement a relational OLAP (ROLAP), where the data stays in the data warehouse. The benefits can be viewed by examining the t ...
... known for its powerful analytics that typically requires data to be housed in a separate SAS data set or, in the case of OLAP, inside a cube. SAS also provides the option to implement a relational OLAP (ROLAP), where the data stays in the data warehouse. The benefits can be viewed by examining the t ...
AETEDWS
... The warehouse stores the transformed data so it is in one database, ready to answer business questions and support decision making. The data warehouse is just one of many software components that must be assembled to enable decision support. Hurwitz Group has identified five environments required fo ...
... The warehouse stores the transformed data so it is in one database, ready to answer business questions and support decision making. The data warehouse is just one of many software components that must be assembled to enable decision support. Hurwitz Group has identified five environments required fo ...
Data transfer, storage and analysis for data mart enlargement
... the following models: Star schema – In this model, the data are stored in one table, even at the cost of redundant records - "unnormalized". Another important feature of this model is a way to create a hierarchy of dimensions. They are formed only by levels whose entries are within a single table. T ...
... the following models: Star schema – In this model, the data are stored in one table, even at the cost of redundant records - "unnormalized". Another important feature of this model is a way to create a hierarchy of dimensions. They are formed only by levels whose entries are within a single table. T ...
CS163_Topic3
... allocated list is better than a statically allocated list (one less problem) – if the cost of memory allocation for the array is manageable at run-time. – may not be reasonable if a large quantity of instances of an ordered_list are formed – is not required if the size of the data is known up-front ...
... allocated list is better than a statically allocated list (one less problem) – if the cost of memory allocation for the array is manageable at run-time. – may not be reasonable if a large quantity of instances of an ordered_list are formed – is not required if the size of the data is known up-front ...
5_temporaldb - WordPress.com
... We can use these two dimensions to distinguish between different forms of temporal database A rollback database stores data with respect to transaction time. The transaction time for a fact is the time interval during which the fact is current within the database system. A historical database st ...
... We can use these two dimensions to distinguish between different forms of temporal database A rollback database stores data with respect to transaction time. The transaction time for a fact is the time interval during which the fact is current within the database system. A historical database st ...
data warehousing and olap technology
... sales. Rather than concentrating on the day to day operations and transaction processing of an organization, a data warehouse focuses on the modeling and analysis of data for decision makers. Data warehouses typically provide a simple and concise view around particular subject issues by excluding da ...
... sales. Rather than concentrating on the day to day operations and transaction processing of an organization, a data warehouse focuses on the modeling and analysis of data for decision makers. Data warehouses typically provide a simple and concise view around particular subject issues by excluding da ...
Scrambled Data – A Population PK/PD Programming Solution
... Scrambling approach needs to keep linkable characteristics in relational database intact, retain data structure and formats in revised data sets exactly the way it is in the original. Other than dates, Private Health Information (PHI) is not collected in PK data. For de-identification, variables fro ...
... Scrambling approach needs to keep linkable characteristics in relational database intact, retain data structure and formats in revised data sets exactly the way it is in the original. Other than dates, Private Health Information (PHI) is not collected in PK data. For de-identification, variables fro ...
Databases, Data, and Information
... • A relational database stores data in tables that consist of rows and columns – Each row has a primary key – Each column has a unique name ...
... • A relational database stores data in tables that consist of rows and columns – Each row has a primary key – Each column has a unique name ...
Presentation
... • How can HDWG influence take-up of developed standards? • Can we assist with capacity building and implementation of standards-compliant technologies for hydrological data sharing in countries around the world? ...
... • How can HDWG influence take-up of developed standards? • Can we assist with capacity building and implementation of standards-compliant technologies for hydrological data sharing in countries around the world? ...
Now - Allot Communications
... Ultimately, these raw data records are loaded into the Allot data warehouse where they are filtered, aggregated and joined into smart data sets that are relevant to the use cases you want to analyze.The frequency and triggers for raw data export are configurable parameters set according to operator ...
... Ultimately, these raw data records are loaded into the Allot data warehouse where they are filtered, aggregated and joined into smart data sets that are relevant to the use cases you want to analyze.The frequency and triggers for raw data export are configurable parameters set according to operator ...
Data Mining: A hands on approach By Robert Groth
... tools. By representing data graphically often brings out points that would not be normally be seen by the common user. Chapter 1 also covers why data mining is used and describes some of the uses for it. Data mining is used in direct marketing in order to find the people who are most likely to buy c ...
... tools. By representing data graphically often brings out points that would not be normally be seen by the common user. Chapter 1 also covers why data mining is used and describes some of the uses for it. Data mining is used in direct marketing in order to find the people who are most likely to buy c ...
Designing Distributed Data Warehouses and OLAP Systems
... On the bottom tier we have operational databases set up for purposes that are of no particular interest for the data warehouse. However, we assume that the data stored in the data warehouse are extracted from these operational databases. In other words, the input of data into the data warehouse is d ...
... On the bottom tier we have operational databases set up for purposes that are of no particular interest for the data warehouse. However, we assume that the data stored in the data warehouse are extracted from these operational databases. In other words, the input of data into the data warehouse is d ...
Job Description - Jobs at the University of West London
... Location: Mainly based at the Ealing campus but will be expected to work at all of the university's campuses ...
... Location: Mainly based at the Ealing campus but will be expected to work at all of the university's campuses ...
Decision Support Systems
... learning and evolution by the user, the DSS builder, and the DSS itself ...
... learning and evolution by the user, the DSS builder, and the DSS itself ...
PPT
... Regulatory & Institutional Framework Statistical Infrastructure Statistical Operations ...
... Regulatory & Institutional Framework Statistical Infrastructure Statistical Operations ...
Designing a Decision Support System with Incorporated Data Mining
... serves as a proof of concept for decision support in the fiber market. The focus will be on how DM technology is applied in software design deployed on an existing system. Further, this paper will discuss the design, its development process, quality, and social utility. ...
... serves as a proof of concept for decision support in the fiber market. The focus will be on how DM technology is applied in software design deployed on an existing system. Further, this paper will discuss the design, its development process, quality, and social utility. ...
A Path-based Relational RDF Database Akiyoshi Matono Toshiyuki
... Graph CI, inheritance relationships between classes Graph PI, inheritance relationships between properties Graph T, a single-labeled directed acyclic graph Graph DR, domain (rdfs:domain) or range (rdfs:range) of each property Graph G, consist of all the remaining statements not included in ...
... Graph CI, inheritance relationships between classes Graph PI, inheritance relationships between properties Graph T, a single-labeled directed acyclic graph Graph DR, domain (rdfs:domain) or range (rdfs:range) of each property Graph G, consist of all the remaining statements not included in ...
ETL tools - School of Information Technologies
... Whether to do certain operations in the database or outside may involve a trade-off. For example, removing duplicates using distinct may be slow in the database; thus, it makes sense to do it outside. On the other side, if using distinct will significantly (x100) decrease the number of rows to be ex ...
... Whether to do certain operations in the database or outside may involve a trade-off. For example, removing duplicates using distinct may be slow in the database; thus, it makes sense to do it outside. On the other side, if using distinct will significantly (x100) decrease the number of rows to be ex ...
Learning Relational Probability Trees
... the movie and the director, producer, and studio that made the movie (figure 2a). A model might go even further and consider attributes of more "distant" objects (in the sense of graph neighborhood), such as other movies made by the director. Relational data violate two assumptions of conventional c ...
... the movie and the director, producer, and studio that made the movie (figure 2a). A model might go even further and consider attributes of more "distant" objects (in the sense of graph neighborhood), such as other movies made by the director. Relational data violate two assumptions of conventional c ...
Analyzing Data Using Access
... Macro and Modules are user programs written to automate functions or create a complete database application. Access databases are relational databases, which means they contain several tables that are linked together by special matching fields called primary keys. In this way, complex data structure ...
... Macro and Modules are user programs written to automate functions or create a complete database application. Access databases are relational databases, which means they contain several tables that are linked together by special matching fields called primary keys. In this way, complex data structure ...
Using data mining to detect insurance fraud
... Over the years, this organization collected audit results on insurance claims. The organization seldom used historical records to identify probable fraudulent claims in the future. Their previous methods often missed opportunities to collect money and adjusters spent too much time reviewing legitima ...
... Over the years, this organization collected audit results on insurance claims. The organization seldom used historical records to identify probable fraudulent claims in the future. Their previous methods often missed opportunities to collect money and adjusters spent too much time reviewing legitima ...
Why do we even care?
... How does one support keyword queries in databases? How does one support imprecise queries in databases? How do we handle incompleteness/inconsistency in databases? Does it make sense to focus on total response time minimization • As against a multi-objective cost/benefit optimization? The DB communi ...
... How does one support keyword queries in databases? How does one support imprecise queries in databases? How do we handle incompleteness/inconsistency in databases? Does it make sense to focus on total response time minimization • As against a multi-objective cost/benefit optimization? The DB communi ...
Data Mining and Data Warehousing
... In data warehouses, join index relates the values of the dimensions of a start schema to rows in the fact table. E.g. fact table: Sales and two dimensions city and product A join index on city maintains for each distinct city a list of R-IDs of the tuples recording the Sales in the city Join in ...
... In data warehouses, join index relates the values of the dimensions of a start schema to rows in the fact table. E.g. fact table: Sales and two dimensions city and product A join index on city maintains for each distinct city a list of R-IDs of the tuples recording the Sales in the city Join in ...
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.