Using Single-Row Functions to Customize Output
... After completing this lesson, you should be able to do the following: • Describe various types of functions that are available in SQL • Use character, number, and date functions in SELECT statements • Describe the use of conversion functions ...
... After completing this lesson, you should be able to do the following: • Describe various types of functions that are available in SQL • Use character, number, and date functions in SELECT statements • Describe the use of conversion functions ...
Database ConCepts
... server infrastructure.6 All these technology advances are revolutionizing the database market. For example, in 2009, SAP co-founder Hasso Plattner announced that his company was taking a lead in developing in-memory databases. He said SAP was close to developing an in-memory system that could accomm ...
... server infrastructure.6 All these technology advances are revolutionizing the database market. For example, in 2009, SAP co-founder Hasso Plattner announced that his company was taking a lead in developing in-memory databases. He said SAP was close to developing an in-memory system that could accomm ...
A Rough Guide to RAC
... Introduced in Oracle 9.0.1 Must reside on shared storage Shared by all RAC instances Binary (not text) files Parameters can be changed using ALTER SYSTEM Can be backed up using the Recovery Manager (RMAN) Created using CREATE SPFILE [ = ‘SPFILE_NAME’ ] FROM PFILE [ = ‘PFILE_NAME’ ]; ...
... Introduced in Oracle 9.0.1 Must reside on shared storage Shared by all RAC instances Binary (not text) files Parameters can be changed using ALTER SYSTEM Can be backed up using the Recovery Manager (RMAN) Created using CREATE SPFILE [ = ‘SPFILE_NAME’ ] FROM PFILE [ = ‘PFILE_NAME’ ]; ...
The Implementation and Performance Evaluation of the ADMS Query Optimizer: Integrating
... performed or nested queries are present, query intermediate results must also be produced to facilitate the query computations. Though theses intermediate results are mostly retained only within the computation of a query, it is not hard to keep them over a longer time for potential reuse. Throughou ...
... performed or nested queries are present, query intermediate results must also be produced to facilitate the query computations. Though theses intermediate results are mostly retained only within the computation of a query, it is not hard to keep them over a longer time for potential reuse. Throughou ...
Database Models
... Information Modelers, Data Modelers and Architects are responsible for creating models of an organization’s information that span multiple levels of abstraction, from conceptual through to logical and physical. The conceptual models are technology independent and can be used for discussions with bus ...
... Information Modelers, Data Modelers and Architects are responsible for creating models of an organization’s information that span multiple levels of abstraction, from conceptual through to logical and physical. The conceptual models are technology independent and can be used for discussions with bus ...
Literature-driven, Ontology-centric Knowledge Navigation for Lipidomics
... A series of existing technologies are now recruited along with semantic technologies to build scientific information systems delivering enriched value-added performance [1]. In particular there is an increasing need to link relevant content to semantic web infrastructure either by tagging existing w ...
... A series of existing technologies are now recruited along with semantic technologies to build scientific information systems delivering enriched value-added performance [1]. In particular there is an increasing need to link relevant content to semantic web infrastructure either by tagging existing w ...
Ch2 E-R Model (This is Ch6 in the 5th edition)
... the higher-level entity set must belong to at least one of the lower-level entity sets within a generalization. total : an entity must belong to one of the lower-level entity sets partial: an entity need not belong to one of the lower-level entity sets ...
... the higher-level entity set must belong to at least one of the lower-level entity sets within a generalization. total : an entity must belong to one of the lower-level entity sets partial: an entity need not belong to one of the lower-level entity sets ...
Database Installation Guide
... Agile can be distributed over a wide-area network with multiple servers or can be limited to one or two server computers with several client computers. In the latter case, Agile can usually be installed within a half day. However, network-based systems are inherently complex, and some installations ...
... Agile can be distributed over a wide-area network with multiple servers or can be limited to one or two server computers with several client computers. In the latter case, Agile can usually be installed within a half day. However, network-based systems are inherently complex, and some installations ...
Serial benchmarks in Mysql, Oracle and PostgreSQL
... needs to authenticate them. Before even parsing the query, though, the server consults the query cache, which only stores SELECT statements, along with their result sets. The storage engine does affect how the server optimizes query. ...
... needs to authenticate them. Before even parsing the query, though, the server consults the query cache, which only stores SELECT statements, along with their result sets. The storage engine does affect how the server optimizes query. ...
Triggers are procedures that are stored in the database and
... DML triggers for event publication are associated with a table. They can be either BEFORE or AFTER triggers that fire for each row on which the specified DML operation occurs. INSTEAD OF triggers can’t be used on views to publish events related to DML statements; instead, they can publish events usi ...
... DML triggers for event publication are associated with a table. They can be either BEFORE or AFTER triggers that fire for each row on which the specified DML operation occurs. INSTEAD OF triggers can’t be used on views to publish events related to DML statements; instead, they can publish events usi ...
A Generic Provenance Middleware for Database Queries, Updates
... Our provenance rewriter can produce a variation of this rewritten query that in addition shows the unique tuple identifier and version number for each tuple in the result and each tuple in the provenance. This is useful to disambiguate tuples with the same attribute values and to determine which ver ...
... Our provenance rewriter can produce a variation of this rewritten query that in addition shows the unique tuple identifier and version number for each tuple in the result and each tuple in the provenance. This is useful to disambiguate tuples with the same attribute values and to determine which ver ...
5.3 Domain Constraint Experiments - Computer Science
... Rhodes University Grahamstown November 2000 ...
... Rhodes University Grahamstown November 2000 ...
Progressive Optimization in a Shared-Nothing
... database partition where the join operation takes place. If not, the data must be transferred from one partition to the designated joining partition. This movement of data is accomplished by means of a table queue, which is a logical data pipe for transferring table rows among database partitions. B ...
... database partition where the join operation takes place. If not, the data must be transferred from one partition to the designated joining partition. This movement of data is accomplished by means of a table queue, which is a logical data pipe for transferring table rows among database partitions. B ...
G-NAF Getting Started Guide
... PSMA Australia believes this publication to be correct at the time of printing and does not accept responsibility for any consequences arising from the use of information herein. Readers should rely on their own skill and judgement to apply information to particular issues. This work is copyright. A ...
... PSMA Australia believes this publication to be correct at the time of printing and does not accept responsibility for any consequences arising from the use of information herein. Readers should rely on their own skill and judgement to apply information to particular issues. This work is copyright. A ...
Storing XML using Relational Model
... large object (BLOB) into the relational database. This strategy is appropriate for document centric data. All leading RDBMS vendors support this method (Microsoft SQL Server, Oracle Oracle8i, IBM DB2). This method is simple but it does not allow indexing and searching. ...
... large object (BLOB) into the relational database. This strategy is appropriate for document centric data. All leading RDBMS vendors support this method (Microsoft SQL Server, Oracle Oracle8i, IBM DB2). This method is simple but it does not allow indexing and searching. ...
Design and implementation of a Function Block configuration tool Saman Hadiani
... possibility to collect more information and to provide better control for improved effectiveness. Since ABB has got a large customer target, each product must be custom made to fulfil the customers (often from different countries) demands. Later these products will be configured by engineers who may ...
... possibility to collect more information and to provide better control for improved effectiveness. Since ABB has got a large customer target, each product must be custom made to fulfil the customers (often from different countries) demands. Later these products will be configured by engineers who may ...
Elmasri/Navathe, Fundamentals of Database Systems, Fourth Edition
... specific XML DTD or XML schema. Since all the documents have the same structure, we can design a relational (or object) database to store the leaf-level data elements within the XML documents. Designing a specialized system for storing native XML data: A new type of database system based on the hier ...
... specific XML DTD or XML schema. Since all the documents have the same structure, we can design a relational (or object) database to store the leaf-level data elements within the XML documents. Designing a specialized system for storing native XML data: A new type of database system based on the hier ...
Dell EMC VMAX All Flash Storage for Mission Critical SQL Server
... cost ownership (TCO) because it uses less floor space for a few high-capacity SSD drives, uses less power than hard disk drives. Flash storage aso provides consistent performance whether the I/O profile is random, sequential, intermittent, or continuous. SQL Server databases can greatly benefit from ...
... cost ownership (TCO) because it uses less floor space for a few high-capacity SSD drives, uses less power than hard disk drives. Flash storage aso provides consistent performance whether the I/O profile is random, sequential, intermittent, or continuous. SQL Server databases can greatly benefit from ...
Privacy-preserving Sanitization in Data Sharing
... In the era of big data, the prospect of analyzing, monitoring and investigating all sources of data starts to stand out in every aspect of our life. The benefit of such practices becomes concrete only when analysts or investigators have the information shared from data owners. However, privacy is on ...
... In the era of big data, the prospect of analyzing, monitoring and investigating all sources of data starts to stand out in every aspect of our life. The benefit of such practices becomes concrete only when analysts or investigators have the information shared from data owners. However, privacy is on ...
File - Anuj Parashar
... SCN (System Change Number) is generated for our transaction. LGWR writes the remaining redo log buffers to disk and record the SCN in redo log files as well. This step is actual commit. The transaction entry is removed (V$TRANSACTION) Locks are released (V$LOCK) BLOCK Cleanout: Cleaning up t ...
... SCN (System Change Number) is generated for our transaction. LGWR writes the remaining redo log buffers to disk and record the SCN in redo log files as well. This step is actual commit. The transaction entry is removed (V$TRANSACTION) Locks are released (V$LOCK) BLOCK Cleanout: Cleaning up t ...
Answering Imprecise Database Queries
... converted to queries over the database. These form-based interfaces although easy to use come at a price: reduced expressibility of the queries, allowing only conjunctive queries with selection predicates to be issued over the database. The user queries are specified by filling in the form fields, i ...
... converted to queries over the database. These form-based interfaces although easy to use come at a price: reduced expressibility of the queries, allowing only conjunctive queries with selection predicates to be issued over the database. The user queries are specified by filling in the form fields, i ...
Microsoft SQL Server I/O Basics
... Sparse files provide a way to save disk space for files that contain large sections of data that is composed of zeros. An NTFS file marked as sparse only allocates disk clusters for the data explicitly written by the application. Ranges of the file that have not been written to are represented by no ...
... Sparse files provide a way to save disk space for files that contain large sections of data that is composed of zeros. An NTFS file marked as sparse only allocates disk clusters for the data explicitly written by the application. Ranges of the file that have not been written to are represented by no ...
Microsoft Jet Database Engine
The Microsoft Jet Database Engine is a database engine on which several Microsoft products have been built. A database engine is the underlying component of a database, a collection of information stored on a computer in a systematic way. The first version of Jet was developed in 1992, consisting of three modules which could be used to manipulate a database.Database connect for MicrosoftJET stands for Joint Engine Technology, sometimes being referred to as Microsoft JET Engine or simply Jet. Microsoft Access and Visual Basic use or have used Jet as their underlying database engine. It has since been superseded for general use, however, first by Microsoft Desktop Engine (MSDE), then later by SQL Server Express. For larger database needs, Jet databases can be upgraded (or, in Microsoft parlance, ""up-sized"") to Microsoft's flagship database product, SQL Server.However, this does not mean that a MS Jet (Red) database cannot match MS SQL Server in storage capacity. A 5 billion record MS Jet (Red) database with compression and encryption turned on requires about 1 terabyte of disk storage space, comprising hundreds of (*.mdb) files, each acting as partial table, and not as a database in itself.Over the years, Jet has become almost synonymous with Microsoft Access, to the extent that many people refer to a Jet database as an ""Access database"".