Preservation of digital records in the long term
... – system independent archiving, but very flexible requirements – fixed or variable field length – any kind of data type - alphanumeric, packed decimal, binary, floating point ...
... – system independent archiving, but very flexible requirements – fixed or variable field length – any kind of data type - alphanumeric, packed decimal, binary, floating point ...
Database Processing Systems
... • Secondary key is defined by information from one or more other fields within the database. – E.g. A secondary key is created from the FirstName and LastName fields. – A secondary key differs from a primary key in that it allows multiple occurrences of the same table. ...
... • Secondary key is defined by information from one or more other fields within the database. – E.g. A secondary key is created from the FirstName and LastName fields. – A secondary key differs from a primary key in that it allows multiple occurrences of the same table. ...
lecture02
... • Conceptual model: In databases, structures are at a higher level. – Operations on data (Modifications and Queries) • Limited Operations: Ease of programmers and efficiency of database. – Constraints on data (what the data can be) ...
... • Conceptual model: In databases, structures are at a higher level. – Operations on data (Modifications and Queries) • Limited Operations: Ease of programmers and efficiency of database. – Constraints on data (what the data can be) ...
Relationship Types - School of Computing
... Appropriate data models at each level focus on the important aspects The end result is a fully elaborated design, with each major design decision well documented Modification should proceed from the appropriate level downward ...
... Appropriate data models at each level focus on the important aspects The end result is a fully elaborated design, with each major design decision well documented Modification should proceed from the appropriate level downward ...
DATABASES AND DATABASE USERS
... • Store numeric short textual information • Typically for managing enterprises Text and multimedia databases • Store documents, digital images, audio, and video streams Geographic information systems (GIS) • Store maps, weather data, and satellite images • For route-finding, agriculture, and nat ...
... • Store numeric short textual information • Typically for managing enterprises Text and multimedia databases • Store documents, digital images, audio, and video streams Geographic information systems (GIS) • Store maps, weather data, and satellite images • For route-finding, agriculture, and nat ...
physical schema - Computer Science at Rutgers
... Applications insulated from how data is structured and stored. Logical data independence: Protection from changes in logical structure of data. Physical data independence: Protection from changes in physical structure of data. ...
... Applications insulated from how data is structured and stored. Logical data independence: Protection from changes in logical structure of data. Physical data independence: Protection from changes in physical structure of data. ...
Bio-Central_PositonPaperSW-LS
... object, provided by the rdflib and QuerierModel libraries that access a BerkeleyDB (SleepyCat Software) based triple store. Bio-Central was designed based on the Semantic Web Application (SWAP) framework built by the MINDSWAP Group at the University of Maryland. The Python scripts that operate the s ...
... object, provided by the rdflib and QuerierModel libraries that access a BerkeleyDB (SleepyCat Software) based triple store. Bio-Central was designed based on the Semantic Web Application (SWAP) framework built by the MINDSWAP Group at the University of Maryland. The Python scripts that operate the s ...
6-Database-Csharp
... application and a data source. The “data source” can be anything that has the required API, but usually it is a database server. ...
... application and a data source. The “data source” can be anything that has the required API, but usually it is a database server. ...
dBase1
... the simplest type of database. All its data is contained in one file. Flat file databases are used for simple structured tasks such as storing personal names and address details. We examine flat file databases in this book. Databases can also be classified as a prepared database or an empty database ...
... the simplest type of database. All its data is contained in one file. Flat file databases are used for simple structured tasks such as storing personal names and address details. We examine flat file databases in this book. Databases can also be classified as a prepared database or an empty database ...
Extended abstract - Conference
... overlapping granules: short, medium and long. The term set for relative quantifier consists of terms few, about half and most of. Hence, we should evaluate nine sentences. Construction of the sets short, medium and long for the attribute duration depends on particular categorization or user’s prefer ...
... overlapping granules: short, medium and long. The term set for relative quantifier consists of terms few, about half and most of. Hence, we should evaluate nine sentences. Construction of the sets short, medium and long for the attribute duration depends on particular categorization or user’s prefer ...
DBCache: Database Caching For Web Application Servers*
... administration). For this purpose we implemented a modified version of the passthru command that allows targeting all the operations to the cache database without considering any routing decisions. This is especially required by the DPropR's apply program as it propagates all the updates to the cach ...
... administration). For this purpose we implemented a modified version of the passthru command that allows targeting all the operations to the cache database without considering any routing decisions. This is especially required by the DPropR's apply program as it propagates all the updates to the cach ...
D - 國立東華大學
... Database: A database consists of multiple relations Information about an enterprise is broken up into parts, with each relation storing one part of the information E.g.: account: stores information about accounts depositor: stores information about which customer owns which account customer: stores ...
... Database: A database consists of multiple relations Information about an enterprise is broken up into parts, with each relation storing one part of the information E.g.: account: stores information about accounts depositor: stores information about which customer owns which account customer: stores ...
using openaccess sdk to expose erp data
... underlying ERP system due to version upgrades, customization and/or data relocation? Do you want to use a business view (meaningful table and column names) of your data during report creation? ERP systems store their data in relational databases like Microsoft SQL Server, Oracle, and others. This da ...
... underlying ERP system due to version upgrades, customization and/or data relocation? Do you want to use a business view (meaningful table and column names) of your data during report creation? ERP systems store their data in relational databases like Microsoft SQL Server, Oracle, and others. This da ...
Cross-platform Database Management
... the disc space the database occupies, but also of the capacity and performance parameters. Detailed statistics collected in this way allow reducing the risk of damage due to overload. ...
... the disc space the database occupies, but also of the capacity and performance parameters. Detailed statistics collected in this way allow reducing the risk of damage due to overload. ...
kjjhghgff - Folsom Lake College
... In Access, a database can consist of one table or a collection of tables. A table is composed of columns and rows, referred to as fields and records. The rows in the table are called records. Each record is a group of related fields, such as all of the information regarding each member in a membersh ...
... In Access, a database can consist of one table or a collection of tables. A table is composed of columns and rows, referred to as fields and records. The rows in the table are called records. Each record is a group of related fields, such as all of the information regarding each member in a membersh ...
CS10 Java Programming Basic Language Features
... Table (relation) schema: students( student_id, name ) Database schema: database name + table schemas ...
... Table (relation) schema: students( student_id, name ) Database schema: database name + table schemas ...
The Entity-Relationship Model
... • If we have several addresses per employee, address must be an entity (since attributes cannot be setvalued). • If the structure (city, street, etc.) is important, e.g., we want to retrieve employees in a given city, address must be modeled as an entity (since attribute values are atomic). ...
... • If we have several addresses per employee, address must be an entity (since attributes cannot be setvalued). • If the structure (city, street, etc.) is important, e.g., we want to retrieve employees in a given city, address must be modeled as an entity (since attribute values are atomic). ...
Chapter 8: Data and Knowledge Management
... – With replication a full copy of the entire database is stored at all sites – With fragmentation the database is partitioned • Parts of database are stored where they are most often accessed ...
... – With replication a full copy of the entire database is stored at all sites – With fragmentation the database is partitioned • Parts of database are stored where they are most often accessed ...
PowerPoint 簡報
... schema and higher-lever schemas need to be changed in a DBMS that fully supports data independence. The higher-level schemas themselves are unchanged. Hence, the application programs need not be changed since they refer to the external schemas. ...
... schema and higher-lever schemas need to be changed in a DBMS that fully supports data independence. The higher-level schemas themselves are unchanged. Hence, the application programs need not be changed since they refer to the external schemas. ...
ch1_intro_csi3317-06..
... Early 1960s: GE designed 1st general-purpose DBMS, based on the network data model. Late 1960s: IBM developed IMS, based on the hierarchical data model. Early 1970s: E. Codd introduced the relational model to solve problems related to the previous models. Late 1970s and early 1980s: work on transact ...
... Early 1960s: GE designed 1st general-purpose DBMS, based on the network data model. Late 1960s: IBM developed IMS, based on the hierarchical data model. Early 1970s: E. Codd introduced the relational model to solve problems related to the previous models. Late 1970s and early 1980s: work on transact ...
Review Question Solutions
... 11. Dynamic SQL will enable the creation of a much more flexible query system in that it will allow users to select the columns to be queried and the columns on which criteria will be set. The user could also be allowed to select functions (round, AVG, etc.) to be used. 12. -The number and types of ...
... 11. Dynamic SQL will enable the creation of a much more flexible query system in that it will allow users to select the columns to be queried and the columns on which criteria will be set. The user could also be allowed to select functions (round, AVG, etc.) to be used. 12. -The number and types of ...
Recap
... set in the user settings. The data is initially displayed in the unit set specified in the user settings. You can change the display units from the unit drop down box (this will not change your default unit type). ...
... set in the user settings. The data is initially displayed in the unit set specified in the user settings. You can change the display units from the unit drop down box (this will not change your default unit type). ...
Getting the Best Out of Your Data Warehouse - Performance
... This sounds similar to myth number 2, and in some cases the reasoning is the same, but is worth a separate mention because it is so common. I have seen several major performance issues fixed by actually removing indexes from tables. In some cases they may have made an improvement on the particular q ...
... This sounds similar to myth number 2, and in some cases the reasoning is the same, but is worth a separate mention because it is so common. I have seen several major performance issues fixed by actually removing indexes from tables. In some cases they may have made an improvement on the particular q ...
CQoS_CCAMeeting_Apr08 - The Common Component
... The CharacterizationComparator component matches current AMR grid characterization against historical data in MetaDB to find and extract the most similar previously encountered state For the returned state, we choose an appropriate rule that matches the state to an optimal partitioner – How are ...
... The CharacterizationComparator component matches current AMR grid characterization against historical data in MetaDB to find and extract the most similar previously encountered state For the returned state, we choose an appropriate rule that matches the state to an optimal partitioner – How are ...