Structured Query Language (SQL)
... Codd's definition of a tuple relational calculus query language. Quel is still a part of the Ingres DBMS available today; although in view of current trends SQL is generally chosen. The System R project developed a series of query languages; the first of these called SQUARE, was later developed into ...
... Codd's definition of a tuple relational calculus query language. Quel is still a part of the Ingres DBMS available today; although in view of current trends SQL is generally chosen. The System R project developed a series of query languages; the first of these called SQUARE, was later developed into ...
EMCO Network Inventory 4.5 provides a built in SQL Query builder
... Network Inventory database. So now you can get the information depending on your requirements. When you perform a scan operation in EMCO Network Inventory 4.5 it collects different useful information for available machines on your network and store it in a local database on your machines. Although E ...
... Network Inventory database. So now you can get the information depending on your requirements. When you perform a scan operation in EMCO Network Inventory 4.5 it collects different useful information for available machines on your network and store it in a local database on your machines. Although E ...
BizTalk Server 2006: High Availability, Fault Tolerance
... Microsoft® SQL Server™ Cluster BizTalk Distributed Architecture (Farm) ...
... Microsoft® SQL Server™ Cluster BizTalk Distributed Architecture (Farm) ...
Role
... All limits of the DEFAULT profile are UNLIMITED. But the DBA can change the values via ALTER PROFILE command so that the modified values apply to all users who are assigned the DEFAULT profile. ...
... All limits of the DEFAULT profile are UNLIMITED. But the DBA can change the values via ALTER PROFILE command so that the modified values apply to all users who are assigned the DEFAULT profile. ...
PowerPoint
... When Electorate ID is deleted this will flow throuhgh the AEC_Electorate table CONSTRAINT AEC_Member2_Electorate_FK FOREIGN KEY (ElectorateID) REFERENCES AEC_Electorate ON DELETE CASCADE ...
... When Electorate ID is deleted this will flow throuhgh the AEC_Electorate table CONSTRAINT AEC_Member2_Electorate_FK FOREIGN KEY (ElectorateID) REFERENCES AEC_Electorate ON DELETE CASCADE ...
Chapter 14: Query Optimization
... nr: number of tuples in a relation r. br: number of blocks containing tuples of r. sr: size of a tuple of r. fr: blocking factor of r ( i.e., the number of tuples of r that fit into one block) ...
... nr: number of tuples in a relation r. br: number of blocks containing tuples of r. sr: size of a tuple of r. fr: blocking factor of r ( i.e., the number of tuples of r that fit into one block) ...
SUGI 28: Performance Tuning SAS/ACCESS(r) for DB2
... statements. In this example the performance gain we realized using explicit SQL resulted from all the processing being handled by the database. If we were to develop a general rule of thumb here, it would be something like: If SAS does not need to process it, let the database do the work. Explicit S ...
... statements. In this example the performance gain we realized using explicit SQL resulted from all the processing being handled by the database. If we were to develop a general rule of thumb here, it would be something like: If SAS does not need to process it, let the database do the work. Explicit S ...
The State of the Art in Distributed Query Processing
... R/3). Distributed data processing is feasible because of recent technological advances (e.g., hardware, software protocols, standards). Distributed data processing is needed because of changing business requirements, which have made distributed data processing cost-effective and in certain situation ...
... R/3). Distributed data processing is feasible because of recent technological advances (e.g., hardware, software protocols, standards). Distributed data processing is needed because of changing business requirements, which have made distributed data processing cost-effective and in certain situation ...
Storing and Processing Temporal Data in a Main Memory Column
... hardware and provides optimal query execution times for the three most important temporal operators at the same time: 1) temporal aggregation 2) time travel and 3) temporal join. In addition, memory consumption should be minimized as this is an important cost factor for an in-memory database system. ...
... hardware and provides optimal query execution times for the three most important temporal operators at the same time: 1) temporal aggregation 2) time travel and 3) temporal join. In addition, memory consumption should be minimized as this is an important cost factor for an in-memory database system. ...
Chapter 7: Relational Database Design
... original employee relation -- and so, this is a lossy decomposition. ...
... original employee relation -- and so, this is a lossy decomposition. ...
ppt - Purdue Computer Science
... original employee relation -- and so, this is a lossy decomposition. ...
... original employee relation -- and so, this is a lossy decomposition. ...
The Database Decision:
... already are making major contributions to the worldwide data management ecosystem. This is a “community-driven” technology revolution because for the first time, users of data platforms are setting the terms regarding the future of software development. And it just happens to coincide with the age o ...
... already are making major contributions to the worldwide data management ecosystem. This is a “community-driven” technology revolution because for the first time, users of data platforms are setting the terms regarding the future of software development. And it just happens to coincide with the age o ...
*** 1
... supporting cloud computing environment should provide two fundamental features, data storage and environment configuration. Data storage is required store provenance data. Preferably, there should be a service that provides storage or database mechanisms to enable the scientists to access provenance ...
... supporting cloud computing environment should provide two fundamental features, data storage and environment configuration. Data storage is required store provenance data. Preferably, there should be a service that provides storage or database mechanisms to enable the scientists to access provenance ...
Chapter 20: Entity Beans and Persistence
... • "Conversational state is the data cached in the application variables, either on the client or the server. This is private data that isn't accessible by other clients. If the conversational state isn't turned into transactional state, it can disappear when a component of the application disappears ...
... • "Conversational state is the data cached in the application variables, either on the client or the server. This is private data that isn't accessible by other clients. If the conversational state isn't turned into transactional state, it can disappear when a component of the application disappears ...
Data Sheet: Oracle Exadata Database Machine X6-8
... other platforms. Exadata runs all types of database workloads including Online Transaction Processing (OLTP), Data Warehousing (DW), In-Memory Analytics as well as consolidation of mixed workloads. Simple and fast to implement, the Exadata Database Machine powers and protects your most important dat ...
... other platforms. Exadata runs all types of database workloads including Online Transaction Processing (OLTP), Data Warehousing (DW), In-Memory Analytics as well as consolidation of mixed workloads. Simple and fast to implement, the Exadata Database Machine powers and protects your most important dat ...
ps series groups deploying microsoft® sql server in an
... As workloads grow, SQL Server databases continue to increase in size, requiring more and more storage capacity and performance. For example, when transaction rates increase, the storage subsystem must be able to handle the associated growth in disk space usage and I/O throughput. In addition, as dat ...
... As workloads grow, SQL Server databases continue to increase in size, requiring more and more storage capacity and performance. For example, when transaction rates increase, the storage subsystem must be able to handle the associated growth in disk space usage and I/O throughput. In addition, as dat ...
Clay: Fine-Grained Adaptive Partitioning for General Database
... from partitioning for OLAP applications. Most notably, these approaches do not combine scaling to tuple-level granularity, mixing load-balancing with minimizing cross partition transactions, and building incremental solutions to update the partitioning. As discussed earlier, Schism [5] is an off-lin ...
... from partitioning for OLAP applications. Most notably, these approaches do not combine scaling to tuple-level granularity, mixing load-balancing with minimizing cross partition transactions, and building incremental solutions to update the partitioning. As discussed earlier, Schism [5] is an off-lin ...
Caching Management of Mobile DBMS
... bandwidth competition, and limited battery power. To allow users to access resources at all times no matter which mode they are in, many research issues need to be dealt with. The data caching/replication on an MU is one of the important methods that can help to resolve this problem. 2. PREVIOUS WOR ...
... bandwidth competition, and limited battery power. To allow users to access resources at all times no matter which mode they are in, many research issues need to be dealt with. The data caching/replication on an MU is one of the important methods that can help to resolve this problem. 2. PREVIOUS WOR ...
Document
... Understanding multiple viewpoints 1) Logical consistency and single minded-ness are operational linked together in most current generation decision support systems. Database schema legacy issues. Schema servers, FEA (Federal Enterprise Architecture) standards, schema independent data systems ...
... Understanding multiple viewpoints 1) Logical consistency and single minded-ness are operational linked together in most current generation decision support systems. Database schema legacy issues. Schema servers, FEA (Federal Enterprise Architecture) standards, schema independent data systems ...
Enhancing Oracle Database Performance with Flash Storage
... update just a handful of rows • decision support (DSS) – characterized by queries that scan very large numbers of rows • database maintenance tasks – which include such diverse activities as database backup and recovery, index creation and database loads It will be seen that in each of these areas, ...
... update just a handful of rows • decision support (DSS) – characterized by queries that scan very large numbers of rows • database maintenance tasks – which include such diverse activities as database backup and recovery, index creation and database loads It will be seen that in each of these areas, ...