Aalborg Universitet 3XL Xiufeng, Liu; Thomsen, Christian; Pedersen, Torben Bach
... the map table) and then select the email address from that class table. The reason is that email has maxCardinality 1 and is a data property. These examples illustrate how 3XL efficiently answers the important category of (s, p, ∗) queries. For details about these and other point-wise queries, see [ ...
... the map table) and then select the email address from that class table. The reason is that email has maxCardinality 1 and is a data property. These examples illustrate how 3XL efficiently answers the important category of (s, p, ∗) queries. For details about these and other point-wise queries, see [ ...
internet application
... No central place to update the business logic Security issues: Server needs to trust clients • Access control and authentication needs to be managed at the server • Clients need to leave server database in consistent state • One possibility: Encapsulate all database access into stored procedures ...
... No central place to update the business logic Security issues: Server needs to trust clients • Access control and authentication needs to be managed at the server • Clients need to leave server database in consistent state • One possibility: Encapsulate all database access into stored procedures ...
A Functorial Query Language
... freely generated by the graph, modulo the equations. An instance on this schema consists of, for each black node (“entity set”), a set of meaningless IDs; for each directed edge, a function from IDs to IDs, and for each white node (“attribute”), a function from IDs to the domain (e.g., strings). An ...
... freely generated by the graph, modulo the equations. An instance on this schema consists of, for each black node (“entity set”), a set of meaningless IDs; for each directed edge, a function from IDs to IDs, and for each white node (“attribute”), a function from IDs to the domain (e.g., strings). An ...
A Database Perspective on Knowledge Discovery
... most important new component is the ad hoc nature of knowledge and data discovery (KDD) queries and the need for efficient query compilation into a multitude of existing and new data analysis methods. Hence, database mining builds upon the existing body of work in statistics and machine learning but ...
... most important new component is the ad hoc nature of knowledge and data discovery (KDD) queries and the need for efficient query compilation into a multitude of existing and new data analysis methods. Hence, database mining builds upon the existing body of work in statistics and machine learning but ...
Database Application Security Models
... • Used in decision-support applications • Collection of many types of data taken from a number of different databases • Typically composed of a database server • Accessed by software applications or reporting applications: online analytical processing (OLAP) ...
... • Used in decision-support applications • Collection of many types of data taken from a number of different databases • Typically composed of a database server • Accessed by software applications or reporting applications: online analytical processing (OLAP) ...
Step 2: Access the GMS Tech Support page
... Will the reporting data collected under previous versions migrated to Reporting Data Version 2? ........... 5 Are there any dependencies for GMS 8.1 upgrades? ................................................................................... 5 What happens if any of the dependencies are missed? ... ...
... Will the reporting data collected under previous versions migrated to Reporting Data Version 2? ........... 5 Are there any dependencies for GMS 8.1 upgrades? ................................................................................... 5 What happens if any of the dependencies are missed? ... ...
ABM VIZ - the Atlanta Regional Commission
... Stores ABM Output Tables, Travel Time Skim Data, and Some Inputs By Scenario ~8 GBs per scenario Around 5–10 scenarios at a time in the DB Can load survey data into DB as a scenario for comparison purposes ...
... Stores ABM Output Tables, Travel Time Skim Data, and Some Inputs By Scenario ~8 GBs per scenario Around 5–10 scenarios at a time in the DB Can load survey data into DB as a scenario for comparison purposes ...
Big Data - School of Information and Communication Technology
... star or snowflake schema. Also, compression is much easier and more productive in a column store As each block has only one kind of attribute. Advantages of column stores has been identified, several column ...
... star or snowflake schema. Also, compression is much easier and more productive in a column store As each block has only one kind of attribute. Advantages of column stores has been identified, several column ...
Manual - BREPOLiS - Access information
... - choose to seek contexts containing the forms corresponding to your search criteria, or contexts that exclude the forms corresponding to those criteria (‘Word-forms must (NOT) appear in the contexts’) ...
... - choose to seek contexts containing the forms corresponding to your search criteria, or contexts that exclude the forms corresponding to those criteria (‘Word-forms must (NOT) appear in the contexts’) ...
Android Development Lecture 5
... If your Android application requires a more solid data storage solution, the Android platform includes and provides the support for application-specific relational databases using SQLite. ...
... If your Android application requires a more solid data storage solution, the Android platform includes and provides the support for application-specific relational databases using SQLite. ...
Securing your Database and Protecting User Data
... For many years, “common wisdom” held that SQL injection required detailed knowledge of the victim’s application By 2008, however, attackers had figured out how to automatically identify the structure of a web application to perform mass SQL injection without a priori detailed knowledge of the vi ...
... For many years, “common wisdom” held that SQL injection required detailed knowledge of the victim’s application By 2008, however, attackers had figured out how to automatically identify the structure of a web application to perform mass SQL injection without a priori detailed knowledge of the vi ...
11_dbimpl - University of Central Florida
... – What new operations must be introduced to keep the data current? – Explicitly storing derived attributes gives rise to new operational business rules to enforce accuracy Dr. Lawrence West, Management Dept., University of Central Florida [email protected] ...
... – What new operations must be introduced to keep the data current? – Explicitly storing derived attributes gives rise to new operational business rules to enforce accuracy Dr. Lawrence West, Management Dept., University of Central Florida [email protected] ...
Slides - Computer Science - University of Birmingham
... Table Representation of Relationships of Different Connectivities Basic case is 1:M non-recursive. (Recursive is when two or more entity types in a relationship are the same.) 1:M recursive—can often be handled within a single table. M:N, M:N:P, etc. standardly handled by breaking down into t ...
... Table Representation of Relationships of Different Connectivities Basic case is 1:M non-recursive. (Recursive is when two or more entity types in a relationship are the same.) 1:M recursive—can often be handled within a single table. M:N, M:N:P, etc. standardly handled by breaking down into t ...
Paper "D2R MAP - A Database to RDF Mapping Language"
... Figure 1. The D2R mapping process. The second goal is to keep D2R MAP as simple as possible. Apart from elements to describe the database connection and the namespaces used, the actual mappings are expressed with just three elements. For each class or group of similar classes in the ontology a Class ...
... Figure 1. The D2R mapping process. The second goal is to keep D2R MAP as simple as possible. Apart from elements to describe the database connection and the namespaces used, the actual mappings are expressed with just three elements. For each class or group of similar classes in the ontology a Class ...
Creating & Modifying Database tables
... Use structured query language (SQL) commands to create, modify, and drop database tables Explain Oracle 10g user schemas Define Oracle 10g database tables Create database tables using SQL*Plus View information about your database tables using Oracle 10g data dictionary views ...
... Use structured query language (SQL) commands to create, modify, and drop database tables Explain Oracle 10g user schemas Define Oracle 10g database tables Create database tables using SQL*Plus View information about your database tables using Oracle 10g data dictionary views ...
lecture 6
... – It consists of exactly one column whose name is dummy and one record (row). The value of that record is X. • desc dual • select * from dual; • The owner of dual is SYS but dual can be accessed by every user. – Although it is possible to delete the one record, or insert additional records, or even ...
... – It consists of exactly one column whose name is dummy and one record (row). The value of that record is X. • desc dual • select * from dual; • The owner of dual is SYS but dual can be accessed by every user. – Although it is possible to delete the one record, or insert additional records, or even ...
ppt format
... • Represent the super class entity, then represent each subclass with the primary key of the super class and its own attribute set. This is very similar to the way weak entities are treated. • Or, map the subclasses to separate relations and ignore the whole super class. This is good when the subcla ...
... • Represent the super class entity, then represent each subclass with the primary key of the super class and its own attribute set. This is very similar to the way weak entities are treated. • Or, map the subclasses to separate relations and ignore the whole super class. This is good when the subcla ...
The Relational Database Model
... DIVIDE requires the use of one single-column table and one two-column table. ...
... DIVIDE requires the use of one single-column table and one two-column table. ...
Concurrency Control
... Basic concurrency/recovery concept: a Transaction (Xact) – a sequence of many actions (hence the name) which are considered to be one atomic unit of work ...
... Basic concurrency/recovery concept: a Transaction (Xact) – a sequence of many actions (hence the name) which are considered to be one atomic unit of work ...
Oracle Database 10g: Administration Workshop I
... User process: Is started at the time a database user requests a connection to the Oracle server Server process: Connects to the Oracle instance and is started when a user establishes a session Background processes: Are started when an Oracle instance is started Copyright © 2005, Oracle. All rights r ...
... User process: Is started at the time a database user requests a connection to the Oracle server Server process: Connects to the Oracle instance and is started when a user establishes a session Background processes: Are started when an Oracle instance is started Copyright © 2005, Oracle. All rights r ...
An Overview of Data Warehousing and OLAP Technology
... source data to correspondingly update the base data and derived data stored in the warehouse. There are two sets of issues to consider: when to refresh, and how to refresh. Usually, the warehouse is refreshed periodically. Only if some OLAP queries need current data, is it necessary to propagate eve ...
... source data to correspondingly update the base data and derived data stored in the warehouse. There are two sets of issues to consider: when to refresh, and how to refresh. Usually, the warehouse is refreshed periodically. Only if some OLAP queries need current data, is it necessary to propagate eve ...
A Firm Foundation for Private Data Analysis
... omnia” (as opposed to ad hoc) privacy goal for statistical databases: anything that can be learned about a respondent from the statistical database should be learnable without access to the database. Although informal, this feels like the “right” direction. The breadth of the goal captures all the c ...
... omnia” (as opposed to ad hoc) privacy goal for statistical databases: anything that can be learned about a respondent from the statistical database should be learnable without access to the database. Although informal, this feels like the “right” direction. The breadth of the goal captures all the c ...
cos346day24
... • XML is better than HTML because: – It provides a clear separation between document structure, content, and materialization. – It is standardized but allows for extension by developers – XML tags accurately represent the semantics of their data. ...
... • XML is better than HTML because: – It provides a clear separation between document structure, content, and materialization. – It is standardized but allows for extension by developers – XML tags accurately represent the semantics of their data. ...
Microsoft Access Glossary - Northern Arizona University
... Input Mask - An input mask is a property that helps to control and format the values entered into a field and might include special characters, spaces, or other formatting. When data are entered into the table or form, they must conform to the settings in the mask and will be formatted as such. Acce ...
... Input Mask - An input mask is a property that helps to control and format the values entered into a field and might include special characters, spaces, or other formatting. When data are entered into the table or form, they must conform to the settings in the mask and will be formatted as such. Acce ...