Chapter 7: Relational Database Design
... add the resulting functional dependencies to F+ for each pair of functional dependencies f1and f2 in F+ if f1 and f2 can be combined using transitivity then add the resulting functional dependency to F+ until F+ does not change any further NOTE: We will see an alternative procedure for this task lat ...
... add the resulting functional dependencies to F+ for each pair of functional dependencies f1and f2 in F+ if f1 and f2 can be combined using transitivity then add the resulting functional dependency to F+ until F+ does not change any further NOTE: We will see an alternative procedure for this task lat ...
Sagent Data Flow Solution
... You must upgrade your repository from a Windows machine that has connections to all data sources. It is not possible to update or install the repository from a UNIX server. During the installation, you are asked whether to upgrade your current repository or build a new one. Building a new repository ...
... You must upgrade your repository from a Windows machine that has connections to all data sources. It is not possible to update or install the repository from a UNIX server. During the installation, you are asked whether to upgrade your current repository or build a new one. Building a new repository ...
Chapter 5: Other Relational Languages
... true if and only if there is a value of x in dom (P1) such that P1(x ) is true. 3. For every “for all” subformula of the form x (P1 (x )), the subformula is true if ...
... true if and only if there is a value of x in dom (P1) such that P1(x ) is true. 3. For every “for all” subformula of the form x (P1 (x )), the subformula is true if ...
Programmatic SQL
... A host language variable is a program variable declared in the host language. It can be either a single variable or a structure. Host language variables can be used in embedded SQL statements to transfer data from the database into the program, and vice versa. They can also be used within the WHERE ...
... A host language variable is a program variable declared in the host language. It can be either a single variable or a structure. Host language variables can be used in embedded SQL statements to transfer data from the database into the program, and vice versa. They can also be used within the WHERE ...
® Upgrading to the DB2 pureScale™ Feature
... The CFs provide a scalable and centralized locking mechanism to ensure data coherency. They also act as a fast cache for DB2 pages, leveraging RDMA technology to increase performance in situations where a physical disk operation might have been required. The CF and the efficient transport layer are ...
... The CFs provide a scalable and centralized locking mechanism to ensure data coherency. They also act as a fast cache for DB2 pages, leveraging RDMA technology to increase performance in situations where a physical disk operation might have been required. The CF and the efficient transport layer are ...
XML Parsing: A Threat to Database Performance
... Separate ‘validation’ from ‘type annotation’. Type annotation of XML document nodes happens during schema validation. We suggest to let applications choose whether validation, type annotation, or both should be performed. For example, if the database receives XML from a trusted source then it may no ...
... Separate ‘validation’ from ‘type annotation’. Type annotation of XML document nodes happens during schema validation. We suggest to let applications choose whether validation, type annotation, or both should be performed. For example, if the database receives XML from a trusted source then it may no ...
Provenance in Databases
... It is NP-hard to decide if there is a side-effect-free annotation for a PJ query in normal form. There is a polynomial time algorithm for deciding if there is a side-effect-free annotation for SPJU queries which do not simultaneously contain Project and Join operations. ...
... It is NP-hard to decide if there is a side-effect-free annotation for a PJ query in normal form. There is a polynomial time algorithm for deciding if there is a side-effect-free annotation for SPJU queries which do not simultaneously contain Project and Join operations. ...
Customizing and Extending PowerDesigner
... CHAPTER 1: PowerDesigner Resource Files ...............1 Opening Resource Files in the Editor ..................................3 Navigating and Searching in Resource Files ......................5 ...
... CHAPTER 1: PowerDesigner Resource Files ...............1 Opening Resource Files in the Editor ..................................3 Navigating and Searching in Resource Files ......................5 ...
Empower System Administrator`s Guide
... The Empower Software System Administrator’s Guide provides the information you need to perform administrative tasks for the Empower™ Enterprise client/server and Workgroup configurations. It includes procedures for performing administrative tasks for server, client, and acquisition server computers ...
... The Empower Software System Administrator’s Guide provides the information you need to perform administrative tasks for the Empower™ Enterprise client/server and Workgroup configurations. It includes procedures for performing administrative tasks for server, client, and acquisition server computers ...
DBA Guide to Databases on VMware
... system is configured can become limiting factors, as can the database software configuration. The way the database is physically laid out on the disk drives and the types of indexing chosen also have an effect. The way queries against the database are coded can dramatically change how quickly result ...
... system is configured can become limiting factors, as can the database software configuration. The way the database is physically laid out on the disk drives and the types of indexing chosen also have an effect. The way queries against the database are coded can dramatically change how quickly result ...
Efficient Query Evaluation on Probabilistic Databases
... for every relation Rp : this ensures that we don’t associate two different events e1 and e2 to the same tuple t (instead, we may want to associate e1 ∨ e2 to t). In addition to this tabular representation of a probabilistic relation, we consider a functional representation, where a probabilistic ins ...
... for every relation Rp : this ensures that we don’t associate two different events e1 and e2 to the same tuple t (instead, we may want to associate e1 ∨ e2 to t). In addition to this tabular representation of a probabilistic relation, we consider a functional representation, where a probabilistic ins ...
WhatsUp Gold v16.2 Database Migration and Management Guide
... This section explains how to migrate the WhatsUp Gold database from an instance of Microsoft SQL Server 2008 R2 Express Edition installed on the same computer as WhatsUp Gold to a local or remote instance of Microsoft SQL Server 2008 R2. To use this portion of the guide SQL Server Management Studio ...
... This section explains how to migrate the WhatsUp Gold database from an instance of Microsoft SQL Server 2008 R2 Express Edition installed on the same computer as WhatsUp Gold to a local or remote instance of Microsoft SQL Server 2008 R2. To use this portion of the guide SQL Server Management Studio ...
SQL Programming
... Basic problem: impedance mismatch – the data model of SQL differs significantly from the models of other languages. SQL uses the relational data model C, Java, etc., use a data model with ints, reals, pointers, records, etc. Consequently, passing data between SQL and a host language is not ...
... Basic problem: impedance mismatch – the data model of SQL differs significantly from the models of other languages. SQL uses the relational data model C, Java, etc., use a data model with ints, reals, pointers, records, etc. Consequently, passing data between SQL and a host language is not ...
Preparation Guide for DB2 10.1 Fundamentals Exam 610 IBM DB2 10.1
... v Part 3, “Working with Databases and Database Objects,” on page 67 provides information about DB2 servers, DB2 databases, database connectivity, database objects, data concepts, data types, and DDL statements to create database objects such as schemas, tables, constraints, views, triggers, and rout ...
... v Part 3, “Working with Databases and Database Objects,” on page 67 provides information about DB2 servers, DB2 databases, database connectivity, database objects, data concepts, data types, and DDL statements to create database objects such as schemas, tables, constraints, views, triggers, and rout ...
SQL Data Modeling Guide - MarkLogic
... range views: Views that are based on range indexes and fields. Each column in a view is based on a range index or field in the content database. You must create the range indexes and fields in the content database before creating a range view. Unlike template views, range views allow you to add and ...
... range views: Views that are based on range indexes and fields. Each column in a view is based on a range index or field in the content database. You must create the range indexes and fields in the content database before creating a range view. Unlike template views, range views allow you to add and ...
Release News - SCN Wiki
... replication as well as for heterogeneous replication. When replication is blocked by an open transaction either because of a very long running transaction or due to missing a commit command, a new “sysadmin dump_open_tran’”command can be used to dump the open transaction ...
... replication as well as for heterogeneous replication. When replication is blocked by an open transaction either because of a very long running transaction or due to missing a commit command, a new “sysadmin dump_open_tran’”command can be used to dump the open transaction ...
Ch3
... temp1 R-S (r) temp2 R-S ((temp1 x s) – R-S,S (r)) result = temp1 – temp2 The result to the right of the is assigned to the relation variable on the left of the . May use variable in subsequent expressions. ...
... temp1 R-S (r) temp2 R-S ((temp1 x s) – R-S,S (r)) result = temp1 – temp2 The result to the right of the is assigned to the relation variable on the left of the . May use variable in subsequent expressions. ...
SQL Data Modeling Guide - MarkLogic
... You can create columns based on an element range indexes for the title, pubyear, keyword, author, and university elements without violating any of the “relational behavior” rules listed in “Guidelines for Relational Behavior” on page 44. Creating a column based on an element range index for the name ...
... You can create columns based on an element range indexes for the title, pubyear, keyword, author, and university elements without violating any of the “relational behavior” rules listed in “Guidelines for Relational Behavior” on page 44. Creating a column based on an element range index for the name ...
customer-name
... depositor : stores information about which customer owns which account customer : stores information about customers Storing all information as a single relation such as bank(account-number, balance, customer-name, ..) results in repetition of information (e.g. two customers own an account) th ...
... depositor : stores information about which customer owns which account customer : stores information about customers Storing all information as a single relation such as bank(account-number, balance, customer-name, ..) results in repetition of information (e.g. two customers own an account) th ...
ppt
... Let r and s be relations on schemas R and S respectively.The result is a relation on schema R S which is obtained by considering each pair of tuples tr from r and ts from s. If tr and ts have the same value on each of the attributes in R S, a tuple t is added to the result, where t has the ...
... Let r and s be relations on schemas R and S respectively.The result is a relation on schema R S which is obtained by considering each pair of tuples tr from r and ts from s. If tr and ts have the same value on each of the attributes in R S, a tuple t is added to the result, where t has the ...
ch3
... Let r and s be relations on schemas R and S respectively.The result is a relation on schema R S which is obtained by considering each pair of tuples tr from r and ts from s. If tr and ts have the same value on each of the attributes in R S, a tuple t is added to the result, where t has the ...
... Let r and s be relations on schemas R and S respectively.The result is a relation on schema R S which is obtained by considering each pair of tuples tr from r and ts from s. If tr and ts have the same value on each of the attributes in R S, a tuple t is added to the result, where t has the ...
No Slide Title
... Let r and s be relations on schemas R and S respectively.The result is a relation on schema R S which is obtained by considering each pair of tuples tr from r and ts from s. If tr and ts have the same value on each of the attributes in R S, a tuple t is added to the result, where t has the ...
... Let r and s be relations on schemas R and S respectively.The result is a relation on schema R S which is obtained by considering each pair of tuples tr from r and ts from s. If tr and ts have the same value on each of the attributes in R S, a tuple t is added to the result, where t has the ...
ch3
... temp1 R-S (r) temp2 R-S ((temp1 x s) – R-S,S (r)) result = temp1 – temp2 The result to the right of the is assigned to the relation variable on the left of the . May use variable in subsequent expressions. ...
... temp1 R-S (r) temp2 R-S ((temp1 x s) – R-S,S (r)) result = temp1 – temp2 The result to the right of the is assigned to the relation variable on the left of the . May use variable in subsequent expressions. ...
professional profile
... One of the key experiences I have with GG is the real-time change data capture where I was able to grab specific data out of changing tables and load them into tables on other databases for business use. In addition I was able to take advantage of resource utilization by using GG to load and maintai ...
... One of the key experiences I have with GG is the real-time change data capture where I was able to grab specific data out of changing tables and load them into tables on other databases for business use. In addition I was able to take advantage of resource utilization by using GG to load and maintai ...