Oracle Database In-Memory with Oracle`s JD Edwards EnterpriseOne
... Oracle Database has traditionally stored data in a row format. In a row format database, each new transaction or record stored in the database is represented as a new row in a table. That row is made up of multiple columns, with each column representing a different attribute about that record. A row ...
... Oracle Database has traditionally stored data in a row format. In a row format database, each new transaction or record stored in the database is represented as a new row in a table. That row is made up of multiple columns, with each column representing a different attribute about that record. A row ...
Database Integrity: Security, Reliability, and Performance
... parity of the remaining good disks to reconstruct data after a failure. This decreases the reliability overhead cost at the third RAID level. The fourth level was designed to bring down the cost of small disk transfers by striping the data across the array at the sector level instead of at the bit l ...
... parity of the remaining good disks to reconstruct data after a failure. This decreases the reliability overhead cost at the third RAID level. The fourth level was designed to bring down the cost of small disk transfers by striping the data across the array at the sector level instead of at the bit l ...
Procedures & Functions & Triggers
... The previous trigger is used to keep track of all the transactions performed on the employee table. If any employee is deleted, a new row containing the details of this employee is stored in a table called xemployee. Similarly, if a new employee is inserted, a new row is created in another table cal ...
... The previous trigger is used to keep track of all the transactions performed on the employee table. If any employee is deleted, a new row containing the details of this employee is stored in a table called xemployee. Similarly, if a new employee is inserted, a new row is created in another table cal ...
Superior Choice List Features
... •Selection list range based on multiple columns (properties) instead of just one • Choice list fill frequency defines how often to perform DB lookup (real time, 1 hour, 1 day or static) • Input parameter(s) stored procedure support ...
... •Selection list range based on multiple columns (properties) instead of just one • Choice list fill frequency defines how often to perform DB lookup (real time, 1 hour, 1 day or static) • Input parameter(s) stored procedure support ...
Chapter 1: Introduction
... “buried” in program code rather than being stated explicitly • Hard to add new constraints or change existing ones ...
... “buried” in program code rather than being stated explicitly • Hard to add new constraints or change existing ones ...
Slides
... Cause of more debate and anguish than any other Fatal Flaw. There's even a split in the relational camp (E.F. Codd proposed "A-marks", "I-marks" and a 4-valued logic). There’s only one NULL. How many different reasons can there be for something being “missing”? Why NULL ruins everything – - UNION of ...
... Cause of more debate and anguish than any other Fatal Flaw. There's even a split in the relational camp (E.F. Codd proposed "A-marks", "I-marks" and a 4-valued logic). There’s only one NULL. How many different reasons can there be for something being “missing”? Why NULL ruins everything – - UNION of ...
XSQLUnit10OverheadsOlder
... 10.5 Syntax for Indexes • 1. Creating indexes is not exactly the same as creating tables or specifying constraints, but indexes are related to both ideas. • Indexes are created using the CREATE keyword, like creating a table. • They are not created by adding a line to a table definition. • As expla ...
... 10.5 Syntax for Indexes • 1. Creating indexes is not exactly the same as creating tables or specifying constraints, but indexes are related to both ideas. • Indexes are created using the CREATE keyword, like creating a table. • They are not created by adding a line to a table definition. • As expla ...
Introduction - Gavin Soorma
... The datafile names need not be changed as the entire database in being migrated to 10g. As a bonus this database is being upgraded to 10.2.0.3. The SOURCE database was 10.2.0.2. All one has to do is create the new database in the higher version and simply plug the SOURCE tablespaces into the TARGET ...
... The datafile names need not be changed as the entire database in being migrated to 10g. As a bonus this database is being upgraded to 10.2.0.3. The SOURCE database was 10.2.0.2. All one has to do is create the new database in the higher version and simply plug the SOURCE tablespaces into the TARGET ...
MYCH8
... in turn. Consider the best plan using the current indexes, and see if a better plan is possible with an additional index. If so, create it. Obviously, this implies that we must understand how a DBMS evaluates queries and creates query evaluation plans! For now, we discuss simple 1-table queries. ...
... in turn. Consider the best plan using the current indexes, and see if a better plan is possible with an additional index. If so, create it. Obviously, this implies that we must understand how a DBMS evaluates queries and creates query evaluation plans! For now, we discuss simple 1-table queries. ...
Slide 1
... Terminology is different than that for SQL Server An Oracle database is made up of many table spaces A table space can be made up of many data files. Also need to be aware of redo log files and control files Table spaces are logical containers for objects such as: ...
... Terminology is different than that for SQL Server An Oracle database is made up of many table spaces A table space can be made up of many data files. Also need to be aware of redo log files and control files Table spaces are logical containers for objects such as: ...
Relations and XML
... } // End of looping over all purchase orders associated with a customer XMLResult += ““ Return XMLResult as one result row; reset XMLResult = ““ } // loop until all customers are tagged and output ...
... } // End of looping over all purchase orders associated with a customer XMLResult += ““ Return XMLResult as one result row; reset XMLResult = ““ } // loop until all customers are tagged and output ...
How To Handle Missing Information Without Using NULL
... Might be preferable to store PERS_INFO as a single table under the covers, so that the tables resulting from decomposition can be implemented as mappings to that. But current technology doesn’t give clean separation of physical storage from ...
... Might be preferable to store PERS_INFO as a single table under the covers, so that the tables resulting from decomposition can be implemented as mappings to that. But current technology doesn’t give clean separation of physical storage from ...
Auditing and Inference Control in
... protection. The task of auditing may be delegated to the database system so that the database system: 1) keeps track of the history of answered queries and changes in the SDB, and 2) checks for possible compromise by every new query. Obviously, auditing may serve as a solution to the SDB security pr ...
... protection. The task of auditing may be delegated to the database system so that the database system: 1) keeps track of the history of answered queries and changes in the SDB, and 2) checks for possible compromise by every new query. Obviously, auditing may serve as a solution to the SDB security pr ...
JDBC
... from a database using JDBC – Create a connection object, using a URL – Create a statement object – Execute a query on the statement object – Process the result set returned from the query ...
... from a database using JDBC – Create a connection object, using a URL – Create a statement object – Execute a query on the statement object – Process the result set returned from the query ...
Application - University Of Worcester
... Work at the client end: collect data in a structured way store data as pre-defined type in with specific field name on the local machine It would be too easy to blindly let Dreamweaver do all of this for you! Some application objects do contain the HTML forms as well to work with the scripts… ...
... Work at the client end: collect data in a structured way store data as pre-defined type in with specific field name on the local machine It would be too easy to blindly let Dreamweaver do all of this for you! Some application objects do contain the HTML forms as well to work with the scripts… ...
Systems for Knowledge Discovery in Databases
... to facilitate the ecient storage, modi cation, and retrieval of related information [Date, 1977]. Although databases have been designed around various representational models, we will focus exclusively on the relational model because of its prevalence in large, real-world databases. (See [Dzeroski ...
... to facilitate the ecient storage, modi cation, and retrieval of related information [Date, 1977]. Although databases have been designed around various representational models, we will focus exclusively on the relational model because of its prevalence in large, real-world databases. (See [Dzeroski ...
Chapter 5 - KSU Faculty Member websites
... overloaded. MySpace later installed a layer of servers between the database servers and the Web servers to store and serve copies of frequently accessed data objects so that the site’s Web servers wouldn’t have to query the database servers with lookups as frequently 2. Why is database technology so ...
... overloaded. MySpace later installed a layer of servers between the database servers and the Web servers to store and serve copies of frequently accessed data objects so that the site’s Web servers wouldn’t have to query the database servers with lookups as frequently 2. Why is database technology so ...
Introduction to Database Systems
... small set of tuples (selections, joins) Iteration: Sometimes, faster to scan all tuples even if there is an index. (And sometimes, we can scan the data entries in an index instead of the table itself.) Partitioning: By using sorting or hashing, we can partition the input tuples and replace an ex ...
... small set of tuples (selections, joins) Iteration: Sometimes, faster to scan all tuples even if there is an index. (And sometimes, we can scan the data entries in an index instead of the table itself.) Partitioning: By using sorting or hashing, we can partition the input tuples and replace an ex ...
Run-Time Optimizations of Join Queries for Distributed Databases
... heterogeneous hardware (e.g., PC and Unix workstations) connected via the Internet. Distributed databases are appropriate for organizations consisting of a number of almost independent suborganizations such as a University with many departments or a bank with many branches. The idea is to partition ...
... heterogeneous hardware (e.g., PC and Unix workstations) connected via the Internet. Distributed databases are appropriate for organizations consisting of a number of almost independent suborganizations such as a University with many departments or a bank with many branches. The idea is to partition ...
Indexing Spatial Data
... Spatial and Geographic Databases Spatial databases store information related to spatial locations, and support efficient storage, indexing and querying of spatial data. Special purpose index structures are important for accessing spatial data, and for processing spatial queries. Computer Aided Desi ...
... Spatial and Geographic Databases Spatial databases store information related to spatial locations, and support efficient storage, indexing and querying of spatial data. Special purpose index structures are important for accessing spatial data, and for processing spatial queries. Computer Aided Desi ...
Translational Data Warehouse DesignStrategies for Supporting the
... These approaches can range from highly structured database design, dimensional database design, entity, attribute, value design, object oriented design to name a few. ...
... These approaches can range from highly structured database design, dimensional database design, entity, attribute, value design, object oriented design to name a few. ...
Relational model
The relational model for database management is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in 1969 by Edgar F. Codd. In the relational model of a database, all data is represented in terms of tuples, grouped into relations. A database organized in terms of the relational model is a relational database.The purpose of the relational model is to provide a declarative method for specifying data and queries: users directly state what information the database contains and what information they want from it, and let the database management system software take care of describing data structures for storing the data and retrieval procedures for answering queries.Most relational databases use the SQL data definition and query language; these systems implement what can be regarded as an engineering approximation to the relational model. A table in an SQL database schema corresponds to a predicate variable; the contents of a table to a relation; key constraints, other constraints, and SQL queries correspond to predicates. However, SQL databases deviate from the relational model in many details, and Codd fiercely argued against deviations that compromise the original principles.