Transferring SAS Datasets from z/OS to SQL Server Databases
... The opinions expressed here are the view of the author and do not necessarily reflect the views and opinions of Mylan Pharmaceuticals Inc. Mylan is not, by means of this article, providing technical, business, or other professional advice or services and is not endorsing any of the software, techniq ...
... The opinions expressed here are the view of the author and do not necessarily reflect the views and opinions of Mylan Pharmaceuticals Inc. Mylan is not, by means of this article, providing technical, business, or other professional advice or services and is not endorsing any of the software, techniq ...
Access, Modify, Enhance: Self-Service Data Management in SAS® Visual Analytics
... gaining more and more traction. SAS Visual Analytics comes with capabilities that can empower specifically enabled end users to bring their own data into the environment and to further refine it by modifying existing and/or adding new data items. The goal of this self-service data management capabil ...
... gaining more and more traction. SAS Visual Analytics comes with capabilities that can empower specifically enabled end users to bring their own data into the environment and to further refine it by modifying existing and/or adding new data items. The goal of this self-service data management capabil ...
designing a multidimensional data warehouse for
... The main difference between the approach of Kimball et al. and that of Inmon is that Kimball’s conformed dimensions are de-normalized, whereas Inmon uses a highly normalized central database model. Inmon's data marts stores a second copy of the data from the centralized data warehouse tables, wherea ...
... The main difference between the approach of Kimball et al. and that of Inmon is that Kimball’s conformed dimensions are de-normalized, whereas Inmon uses a highly normalized central database model. Inmon's data marts stores a second copy of the data from the centralized data warehouse tables, wherea ...
Chapter 5 Business Intelligence: Data Warehousing, Data
... In order to understand a situation, a decisionmaker needs data, information, and knowledge. This must be integrated and organized in a manner that makes them useful. Then the decision maker must be able to apply analysis tool processing so that data, information and knowledge can be utilized to full ...
... In order to understand a situation, a decisionmaker needs data, information, and knowledge. This must be integrated and organized in a manner that makes them useful. Then the decision maker must be able to apply analysis tool processing so that data, information and knowledge can be utilized to full ...
p2p
... are zero-cost object lookups. – Theorem [3]: In a given graph G, the static placement problem is NP-complete, even if all the queries in the workload in G are object queries. • Proof of this theorem is based on a reduction from the vertexcover problem. ...
... are zero-cost object lookups. – Theorem [3]: In a given graph G, the static placement problem is NP-complete, even if all the queries in the workload in G are object queries. • Proof of this theorem is based on a reduction from the vertexcover problem. ...
A 3D geo database based on CityGML
... relations between objects, allowing for modelling in various levels of complexity. First, the thematic model of CityGML is based on hierarchical decomposition of geo objects. E.g., a building may be decomposed into building parts, rooms, walls, windows, and doors, etc. Second, some cyclic relations ...
... relations between objects, allowing for modelling in various levels of complexity. First, the thematic model of CityGML is based on hierarchical decomposition of geo objects. E.g., a building may be decomposed into building parts, rooms, walls, windows, and doors, etc. Second, some cyclic relations ...
DDI Across the Life Cycle: One Data Model, Many Products.
... Other File Types (e.g. SAS, SPSS, etc) Database connection settings DDI 3 elements not in *.bmi ...
... Other File Types (e.g. SAS, SPSS, etc) Database connection settings DDI 3 elements not in *.bmi ...
Read the report - The Beckman Report on Database Research
... individuals. In a sense, the rest of the world has now caught on to the importance of what the database community has been advocating and doing for years. The new era of Big Data has drawn many communities into the “data management game.” There has been a groundswell of efforts in these communities ...
... individuals. In a sense, the rest of the world has now caught on to the importance of what the database community has been advocating and doing for years. The new era of Big Data has drawn many communities into the “data management game.” There has been a groundswell of efforts in these communities ...
a review data cube analysis method in big data
... will groups all immediate values together associated with the same intermediate I and pass to the Reduce function. The Reduce function take an action to receive an intermediate I with its set of values, V and merges them together. However, this model does not directly support processing multiple rel ...
... will groups all immediate values together associated with the same intermediate I and pass to the Reduce function. The Reduce function take an action to receive an intermediate I with its set of values, V and merges them together. However, this model does not directly support processing multiple rel ...
Database Systems For XML Data Storing
... The relational database that supports XML has following features: § XML data importing and exporting functionality § In general, the XML data is mapped to database table by relationship between specific tag element and specific column in the table. § After storing the XML data in the relational data ...
... The relational database that supports XML has following features: § XML data importing and exporting functionality § In general, the XML data is mapped to database table by relationship between specific tag element and specific column in the table. § After storing the XML data in the relational data ...
Analysis of Telecommunication Database using Snowflake Schema
... All the experimental result is purely depend on the data ...
... All the experimental result is purely depend on the data ...
Primary Key
... What is a Database? A Database is a: Collection of Related Data for A Known Group of Users that meet Specific Requirements and Models or Represents the Real World ...
... What is a Database? A Database is a: Collection of Related Data for A Known Group of Users that meet Specific Requirements and Models or Represents the Real World ...
Distributed DBMS Architecture
... • Data is distributed across all the nodes. • Same DBMS at each node. • All data is managed by the distributed DBMS (no exclusively local data.) • All access is through one, global schema. • The global schema is the union of all the ...
... • Data is distributed across all the nodes. • Same DBMS at each node. • All data is managed by the distributed DBMS (no exclusively local data.) • All access is through one, global schema. • The global schema is the union of all the ...
Multi-Domain Integration with MOF and extended Triple
... requirements document contains information on includes and extends relationships which is needed by the use case document. In the class diagram document we represent both relationships as aggregations. Thus, the class diagram document does not provide this information. We avoid the problems from Fig ...
... requirements document contains information on includes and extends relationships which is needed by the use case document. In the class diagram document we represent both relationships as aggregations. Thus, the class diagram document does not provide this information. We avoid the problems from Fig ...
Benefits of data archiving in data warehouses
... While archiving strategy and architecture may look different for each implementation, there may be infrequent requirements to access the archived data. Archiving removes data from the production system, but this data is not lost—it is simply relocated based on its business value. In cases where a se ...
... While archiving strategy and architecture may look different for each implementation, there may be infrequent requirements to access the archived data. Archiving removes data from the production system, but this data is not lost—it is simply relocated based on its business value. In cases where a se ...
Microsoft Language Integrate Query (LINQ)
... LINQ makes use of some features in the .Net framework that will need to be understood in order to make the most efficient use of LINQ. These features include object initialization expressions, the var keyword, anonymous types, and lambda expressions. These features are not specific to LINQ and can b ...
... LINQ makes use of some features in the .Net framework that will need to be understood in order to make the most efficient use of LINQ. These features include object initialization expressions, the var keyword, anonymous types, and lambda expressions. These features are not specific to LINQ and can b ...
Big Data Methods for Social Science and Policy
... new policy models are being constructed to include new data sources; the challenges of handling new data sources (real time, adaptive, behavioural data, whole population rather than sample data; social data; fine grained data; ‘tall and fat’ data; ‘messy’ data; multi-lingual data) and how best to in ...
... new policy models are being constructed to include new data sources; the challenges of handling new data sources (real time, adaptive, behavioural data, whole population rather than sample data; social data; fine grained data; ‘tall and fat’ data; ‘messy’ data; multi-lingual data) and how best to in ...
Data integration and transformation o How to change the data from
... identify the features that are essential to determine the class label say class1 or class2 these structure takes minimum of 3 attributes. So out of 6 attribute only 3 attributes are sufficient to determine the class. So first we compare. We divide the data by taking the attribute value a4 then we ge ...
... identify the features that are essential to determine the class label say class1 or class2 these structure takes minimum of 3 attributes. So out of 6 attribute only 3 attributes are sufficient to determine the class. So first we compare. We divide the data by taking the attribute value a4 then we ge ...
Extracting Domain Semantics for Knowledge Discovery in Relational
... In discovering knowledge from an existing database, a major difficulty is that often the meaning of the data has been lost during various evolutions and modifications of the database over many years by many persons. No one may know exactly what the data and the relationships between the data really ...
... In discovering knowledge from an existing database, a major difficulty is that often the meaning of the data has been lost during various evolutions and modifications of the database over many years by many persons. No one may know exactly what the data and the relationships between the data really ...
Informix Red Brick Warehouse
... The Red Brick Advantage Red Brick Data Mine Option - for OLAP and data mining: The Red Brick premise is: “take the mining tool to the data instead of taking the data to the mining tool Red Brick integrated a neural network, decision trees and statistical algorithms into the core of the RDBMS ser ...
... The Red Brick Advantage Red Brick Data Mine Option - for OLAP and data mining: The Red Brick premise is: “take the mining tool to the data instead of taking the data to the mining tool Red Brick integrated a neural network, decision trees and statistical algorithms into the core of the RDBMS ser ...
Presentation
... • Support CAI instruments through expanded description of the questionnaire (content and question flow) • Support the description of data series (longitudinal surveys, panel studies, recurring waves, etc.) • Support comparison, in particular comparison by design but also comparison-after-the fact (h ...
... • Support CAI instruments through expanded description of the questionnaire (content and question flow) • Support the description of data series (longitudinal surveys, panel studies, recurring waves, etc.) • Support comparison, in particular comparison by design but also comparison-after-the fact (h ...
3.4 Overvieuw of various technical aspects in SDWH_v2.1
... This review is intended as an overview of software packages existing on the market or developed on request in NSIs in order to describe the solutions that would meet NSI needs, implement SDWH concept and provide the necessary functionality for each SDWH level given in 3.1 deliverable. In a generic S ...
... This review is intended as an overview of software packages existing on the market or developed on request in NSIs in order to describe the solutions that would meet NSI needs, implement SDWH concept and provide the necessary functionality for each SDWH level given in 3.1 deliverable. In a generic S ...
History of SQL
... SQL Version Analysis Structured Query Language, or SQL, is a powerful tool for interacting with and utilizing databases through the use of relational algebra and calculus, allowing for efficient and effective manipulation and analysis of data within databases. There have been many revisions of SQL, ...
... SQL Version Analysis Structured Query Language, or SQL, is a powerful tool for interacting with and utilizing databases through the use of relational algebra and calculus, allowing for efficient and effective manipulation and analysis of data within databases. There have been many revisions of SQL, ...
Document
... Finding data regularity in its natural contextualization For each event we may have zero or more free text fields. Suppose we concatenate these, into one text unit, and perhaps also develop some metadata (in some way) that will help contextualize the semantic extraction process. We label this unit ...
... Finding data regularity in its natural contextualization For each event we may have zero or more free text fields. Suppose we concatenate these, into one text unit, and perhaps also develop some metadata (in some way) that will help contextualize the semantic extraction process. We label this unit ...
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.