QDB 2016 International Workshop on Quality in Databases http
... The heterogeneity of data sources in the Big Data Era requires new integration approaches which can handle the large volume and speed of the generated data as well as the variety and quality of the data. Thus, heterogeneity and data quality are seen as challenges for many Big Data applications. Whil ...
... The heterogeneity of data sources in the Big Data Era requires new integration approaches which can handle the large volume and speed of the generated data as well as the variety and quality of the data. Thus, heterogeneity and data quality are seen as challenges for many Big Data applications. Whil ...
The Web Page as a WYSIWYG End User Customizable Database
... over databases offers simplicity, power, and flexibility ...
... over databases offers simplicity, power, and flexibility ...
20080117-OGSADAI
... accessed via web services that executes data-centric workflows involving heterogeneous data resources for the purposes of data access, integration, transformation and delivery • within a grid • and is intended as a toolkit for building higher-level application-specific data services ...
... accessed via web services that executes data-centric workflows involving heterogeneous data resources for the purposes of data access, integration, transformation and delivery • within a grid • and is intended as a toolkit for building higher-level application-specific data services ...
JSOC architecture overview*
... The JSOC Data Record Management System is built around a relational (Postgres) database containing the JSOC data catalog. In the DRMS, data are organized into various data series of like data, each represented by a uniquely-named table in the database. Each row in a data series table corresponds to ...
... The JSOC Data Record Management System is built around a relational (Postgres) database containing the JSOC data catalog. In the DRMS, data are organized into various data series of like data, each represented by a uniquely-named table in the database. Each row in a data series table corresponds to ...
FP7 SeaDataNet general poster
... The initiative for developing a Pan-European infrastructure for ocean and marine data management started as Sea-Search project under FP5 (2002 - 2005) with a focus on metadata and was continued under FP6 (2006 - 2011) as SeaDataNet with a wider focus including harmonised access to data. It is contin ...
... The initiative for developing a Pan-European infrastructure for ocean and marine data management started as Sea-Search project under FP5 (2002 - 2005) with a focus on metadata and was continued under FP6 (2006 - 2011) as SeaDataNet with a wider focus including harmonised access to data. It is contin ...
Data Warehousing
... – Subject-oriented: data is organized around major subjects of the enterprise, such as sales, rather than individual transactions, and is oriented to decision making. – Integrated: the same piece of information collected from various systems is referred to in only one way. • Example: Gender: M, F; M ...
... – Subject-oriented: data is organized around major subjects of the enterprise, such as sales, rather than individual transactions, and is oriented to decision making. – Integrated: the same piece of information collected from various systems is referred to in only one way. • Example: Gender: M, F; M ...
Data sources - More Years, Better Lives
... Covered data sources were of high quality, quantitative, recent, if possible longitudinal or from large datasets, and policy-relevant. Where no data was available, or where data was limited or of doubtful quality, this was also noted. It may indicate the need for further research, or to changes ...
... Covered data sources were of high quality, quantitative, recent, if possible longitudinal or from large datasets, and policy-relevant. Where no data was available, or where data was limited or of doubtful quality, this was also noted. It may indicate the need for further research, or to changes ...
Problem Definition - Michigan Technological University
... This project will consist of measurements taken at different sample rates with different apparatus at the same measuring location. The differences in measured data will take into account each individual sample rate. Theoretically, there should not be any differences on the content of the measured da ...
... This project will consist of measurements taken at different sample rates with different apparatus at the same measuring location. The differences in measured data will take into account each individual sample rate. Theoretically, there should not be any differences on the content of the measured da ...
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... a much easier time thinking about data in a normalized form than they do about data in other formats. Documenting normalized data is easier than documenting "the same data" when it is in another format. Current hardware and software technology permit us to take advantage of these characteristics of ...
... a much easier time thinking about data in a normalized form than they do about data in other formats. Documenting normalized data is easier than documenting "the same data" when it is in another format. Current hardware and software technology permit us to take advantage of these characteristics of ...
data replication
... into a single metadata model that abstracts on demand—simply schedule updates the source data into a common framework. for low-use periods, such as after normal Virtual tables are created that place a business hours, or as frequently as every relational model on the data. minute when your business r ...
... into a single metadata model that abstracts on demand—simply schedule updates the source data into a common framework. for low-use periods, such as after normal Virtual tables are created that place a business hours, or as frequently as every relational model on the data. minute when your business r ...
Data Mining - Department of Computer Science
... identifying segments of a population likely to respond similarly to given events. ...
... identifying segments of a population likely to respond similarly to given events. ...
Job Description for BI-DW Architects_0012
... Participates in database design discussions, collaborating with developers to ensure the database designs are accurate and that they support efficient reporting. Assists in the identification and resolution of inefficiencies in database designs and determines and implements solutions for database de ...
... Participates in database design discussions, collaborating with developers to ensure the database designs are accurate and that they support efficient reporting. Assists in the identification and resolution of inefficiencies in database designs and determines and implements solutions for database de ...
Introduction to Data Warehousing
... Data warehouse is organized around subjects such as sales, product, customer. It focuses on modeling and analysis of data for decision makers. Excludes data not useful in decision support process. ...
... Data warehouse is organized around subjects such as sales, product, customer. It focuses on modeling and analysis of data for decision makers. Excludes data not useful in decision support process. ...
DBMS - Computer Information Systems
... Record – Group of related fields (such as name, course, grade, date) • File – Group of records of the same type (such as a group of students records) • Database – Group of related files (such as grouping the student’s personal history, financial records) ...
... Record – Group of related fields (such as name, course, grade, date) • File – Group of records of the same type (such as a group of students records) • Database – Group of related files (such as grouping the student’s personal history, financial records) ...
Document
... or succeed without quality data about their internal operations and external environment. Q: Why are database so exciting? A: This question makes no sense; its like asking why are Brad Pitt and Angelina Jolie so hot? ...
... or succeed without quality data about their internal operations and external environment. Q: Why are database so exciting? A: This question makes no sense; its like asking why are Brad Pitt and Angelina Jolie so hot? ...
INFORMATION PROCESSING FOR A STORE - AN OVERVIEW
... Operational data collected over a period of time is called data archives and the process of collecting it is called data archiving. With the availability of massive disks in which terabytes (1012 bytes) of data can be stored, it has become feasible to analyse the archived data. Analyzing archived da ...
... Operational data collected over a period of time is called data archives and the process of collecting it is called data archiving. With the availability of massive disks in which terabytes (1012 bytes) of data can be stored, it has become feasible to analyse the archived data. Analyzing archived da ...
WG3/4 – May 11, 2012 – Minutes
... Levi asked about who the universe of pilot states would be. Would they be limited to the states that are participating in the Workgroup calls? Dwane answered that no, the pilot states wouldn’t be limited to the workgroup participants. Levi asked what role Reclamation would play in this data exchange ...
... Levi asked about who the universe of pilot states would be. Would they be limited to the states that are participating in the Workgroup calls? Dwane answered that no, the pilot states wouldn’t be limited to the workgroup participants. Levi asked what role Reclamation would play in this data exchange ...
On-line Analytical Processing (OLAP)
... On-line Analytical Processing (OLAP) technology was developed for surveillance purposes as part of a current Department of Health funded project (DH: 0410015); the main aim of which was to develop cost-effective IT strategies for automated collection and analysis of surveillance data on hospital ant ...
... On-line Analytical Processing (OLAP) technology was developed for surveillance purposes as part of a current Department of Health funded project (DH: 0410015); the main aim of which was to develop cost-effective IT strategies for automated collection and analysis of surveillance data on hospital ant ...
Data Sheet: EMC FullTime RepliStor
... EMC FullTime RepliStor® provides server-based local and remote asynchronous replication for Microsoft Windows environments. RepliStor replicates files, directories, volumes, shares, and registry keys—on a schedule or in real time—from a source system to a target system or systems using TCP/IP connec ...
... EMC FullTime RepliStor® provides server-based local and remote asynchronous replication for Microsoft Windows environments. RepliStor replicates files, directories, volumes, shares, and registry keys—on a schedule or in real time—from a source system to a target system or systems using TCP/IP connec ...
Data Step in SAS - Electrical and Computer Engineering
... The general process flow of SAS data analysis consists of five main steps. The first part is the data step which reads external raw data with its corresponding formats or models, then formats the reading data to store as SAS data sets. The raw data can be any kinds of data stored in any kinds of rep ...
... The general process flow of SAS data analysis consists of five main steps. The first part is the data step which reads external raw data with its corresponding formats or models, then formats the reading data to store as SAS data sets. The raw data can be any kinds of data stored in any kinds of rep ...
Chapter1
... connections between entities. A network database is characterized by the requirement that all connections had to be supported by an index. ...
... connections between entities. A network database is characterized by the requirement that all connections had to be supported by an index. ...
Data Protection Act, 2012
The Data Protection Act, 2012 (The Act) is legislation enacted by the Parliament of the Republic of Ghana to protect the privacy and personal data of individuals. It regulates the process personal information is acquired, kept, used or disclosed by data controllers and data processors by requiring compliance with certain data protection principles. Non compliance with provisions of the Act may attract either civil liability, or criminal sanctions, or both, depending on the nature of the infraction. The Act also establishes a Data Protection Commission, which is mandated to ensure compliance with its provisions, as well as maintain the Data Protection Register.