Relational Algebra
... Selection ( σ ) Selects a subset of rows from relation. Projection (π ) Deletes unwanted columns from relation. Cross-product ( ) Allows us to combine two relations. Set-difference ( ) Tuples in reln. 1, but not in reln. 2. Union ( ) Tuples in reln. 1 and in reln. 2. ...
... Selection ( σ ) Selects a subset of rows from relation. Projection (π ) Deletes unwanted columns from relation. Cross-product ( ) Allows us to combine two relations. Set-difference ( ) Tuples in reln. 1, but not in reln. 2. Union ( ) Tuples in reln. 1 and in reln. 2. ...
database
... Application programs process logic that is specific to a given business need. Application programs enable database processing over the Internet. ◦ For this use, the application program serves as an intermediary between the Web server and the database. ◦ The application program responds to events, su ...
... Application programs process logic that is specific to a given business need. Application programs enable database processing over the Internet. ◦ For this use, the application program serves as an intermediary between the Web server and the database. ◦ The application program responds to events, su ...
SQL virtual database Release Notes
... Some companies, names, and data in this document are used for illustration purposes and may not represent real companies, individuals, or data. This document could include technical inaccuracies or typographical errors. Changes are periodically made to the information herein. These changes may be in ...
... Some companies, names, and data in this document are used for illustration purposes and may not represent real companies, individuals, or data. This document could include technical inaccuracies or typographical errors. Changes are periodically made to the information herein. These changes may be in ...
ppt
... We ignore operations other than read and write instructions We assume that transactions may perform arbitrary ...
... We ignore operations other than read and write instructions We assume that transactions may perform arbitrary ...
Logging and Recovery
... STEAL (why Atomicity is a problem) – steal frame F: some page P is written to disk – what if the Xact with the lock on P aborts? – must remember the old value of P at steal time! ...
... STEAL (why Atomicity is a problem) – steal frame F: some page P is written to disk – what if the Xact with the lock on P aborts? – must remember the old value of P at steal time! ...
Staging Area in near real-time DWH
... Store (ODS) is very efficient. It consumes small amount of HW resources. It terminates in short elapsed time. Solution enables that Staging Area contains full set of data (not only the changed records). This makes the ETL application more transparent. Introducing changes in ETL applications is then ...
... Store (ODS) is very efficient. It consumes small amount of HW resources. It terminates in short elapsed time. Solution enables that Staging Area contains full set of data (not only the changed records). This makes the ETL application more transparent. Introducing changes in ETL applications is then ...
White Paper
... In-memory database (IMDB) technology is the foundation technology for TimesTen. IMDB technology implements a relational database in which all data at runtime resides in RAM, and the data structures and access algorithms exploit this property for breakthrough performance. Compared to a fully cached R ...
... In-memory database (IMDB) technology is the foundation technology for TimesTen. IMDB technology implements a relational database in which all data at runtime resides in RAM, and the data structures and access algorithms exploit this property for breakthrough performance. Compared to a fully cached R ...
Chapter 4: Advanced SQL - United International College
... An assertion is a predicate expressing a condition that we wish the ...
... An assertion is a predicate expressing a condition that we wish the ...
New Database Design for the APS Survey and Alignment Data
... 2.3.1 Functional Dependencies and Normalization Analysis of the functional dependencies (FDs) within a database is one of the essential tools for working with relations and the process of normalization. Functional dependency is a term describing a situation, when one attribute or a set of attribute ...
... 2.3.1 Functional Dependencies and Normalization Analysis of the functional dependencies (FDs) within a database is one of the essential tools for working with relations and the process of normalization. Functional dependency is a term describing a situation, when one attribute or a set of attribute ...
DBFarm: A Scalable Cluster for Multiple Databases
... doing so, DBFarm effectively becomes transparent to the clients since they will always read exactly the same they would have read using a single database server. For simplicity in the explanations, and without loss of generality, we describe the details of the DBFarm transaction scheduling with a s ...
... doing so, DBFarm effectively becomes transparent to the clients since they will always read exactly the same they would have read using a single database server. For simplicity in the explanations, and without loss of generality, we describe the details of the DBFarm transaction scheduling with a s ...
cos346day20
... – A table may have one or more AFTER triggers – AFTER triggers may not be assigned to views – A view or table may have only one INSTEAD OF trigger for each triggering action ...
... – A table may have one or more AFTER triggers – AFTER triggers may not be assigned to views – A view or table may have only one INSTEAD OF trigger for each triggering action ...
Database Management Systems - Health Information Technology
... that business intelligence should be divided into querying, reporting, OLAP, an "alerts" tool, and business analytics. In this definition, business analytics is the subset of BI based on statistics, prediction, and optimization.” http://en.wikipedia.org/wiki/Business_intelligence#Business_intelligen ...
... that business intelligence should be divided into querying, reporting, OLAP, an "alerts" tool, and business analytics. In this definition, business analytics is the subset of BI based on statistics, prediction, and optimization.” http://en.wikipedia.org/wiki/Business_intelligence#Business_intelligen ...
Introduction to JDBC
... Pure Java Driver (Type 4) • These drivers convert the JDBC API calls to direct network calls using vendor-specific networking protocols by making direct socket connections with the database • It is the most efficient method to access database, both in performance and development time • It is the si ...
... Pure Java Driver (Type 4) • These drivers convert the JDBC API calls to direct network calls using vendor-specific networking protocols by making direct socket connections with the database • It is the most efficient method to access database, both in performance and development time • It is the si ...
MYCH7 - Computing Science
... 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 ...
Object-Oriented Databases - School of Information Technology
... data stored in program objects and in a relational database Data access class methods encapsulate the logic needed to copy values from the problem domain objects to the database, and vice versa ◘ The logic is a combination of program code and ...
... data stored in program objects and in a relational database Data access class methods encapsulate the logic needed to copy values from the problem domain objects to the database, and vice versa ◘ The logic is a combination of program code and ...
An FP Tree based Approach for Extracting Frequent Pattern from
... The experimental results are showed in Figure 1 and Figure 2 respectively. Experimental results shows that PFP Tree algorithm works much faster than FP Growth Tree algorithm and partition FP Growth tree algorithm because it doesn’t need to generate 2-candidate item sets and reduce the search space. ...
... The experimental results are showed in Figure 1 and Figure 2 respectively. Experimental results shows that PFP Tree algorithm works much faster than FP Growth Tree algorithm and partition FP Growth tree algorithm because it doesn’t need to generate 2-candidate item sets and reduce the search space. ...
IOSR Journal of Computer Engineering (IOSR-JCE)
... The ideas behind the spatio-temporal modeling can be broadly cross-classified according to: (a) their motivation, (b) their underlying objectives and (c) the scale of data. Under (a) the motivations for models can be classified into four classes: (i) extensions of time series methods to space (ii) e ...
... The ideas behind the spatio-temporal modeling can be broadly cross-classified according to: (a) their motivation, (b) their underlying objectives and (c) the scale of data. Under (a) the motivations for models can be classified into four classes: (i) extensions of time series methods to space (ii) e ...
Bandwidth Efficient PIR from NTRU
... developed optimized implementations to support BGN which reveals that parings over composite order elliptic curves are far less efficient than parings over prime order curves and also require significantly larger parameter sizes to reach the same security level. ...
... developed optimized implementations to support BGN which reveals that parings over composite order elliptic curves are far less efficient than parings over prime order curves and also require significantly larger parameter sizes to reach the same security level. ...
slides - Indico
... Payload migration is the most complex problem in replacing Objectivity/DB – A variety of DDL classes; different designs; “composite” objects. – A total number of persistent classes to be migrated: ~200. – A total number of persistent objects to be converted ~3M. – Significant amount of transient cli ...
... Payload migration is the most complex problem in replacing Objectivity/DB – A variety of DDL classes; different designs; “composite” objects. – A total number of persistent classes to be migrated: ~200. – A total number of persistent objects to be converted ~3M. – Significant amount of transient cli ...
SQL - MIT5314
... Equal to any of the values in the list Compare the given values to EVERY value in returned by the subquery Compare the given values to EACH value in returned by the subquery ...
... Equal to any of the values in the list Compare the given values to EVERY value in returned by the subquery Compare the given values to EACH value in returned by the subquery ...
Module 2 Association Rules
... From the above example, it is clear that certain applications need strict synchronisation and a high level of data consistency within the replicated copies of the data as well as in the individual data sites ...
... From the above example, it is clear that certain applications need strict synchronisation and a high level of data consistency within the replicated copies of the data as well as in the individual data sites ...
1439078572_248439x
... Current values: A change to the database made by any user yields current data values for all other users. Task-data independence: As users’ information needs expand, the new needs can be more easily satisfied than under the flat-file approach. Hall, Accounting Information Systems, 7e ©2011 Cenga ...
... Current values: A change to the database made by any user yields current data values for all other users. Task-data independence: As users’ information needs expand, the new needs can be more easily satisfied than under the flat-file approach. Hall, Accounting Information Systems, 7e ©2011 Cenga ...