Data Modeling and Database Design Using ERwin
... Supported Database Management Systems 1. IBM DB2 2. IBM AS/400 3. ORACLE 4. MS SQL Server 5. InterBase 6. SYBASE 7. PROGRESS 8. INFORMIX 9. Ingres ...
... Supported Database Management Systems 1. IBM DB2 2. IBM AS/400 3. ORACLE 4. MS SQL Server 5. InterBase 6. SYBASE 7. PROGRESS 8. INFORMIX 9. Ingres ...
Database - oppi.uef.fi
... Application program interface (e.g., ODBC/JDBC) which allow SQL queries to be sent to a database ...
... Application program interface (e.g., ODBC/JDBC) which allow SQL queries to be sent to a database ...
Transaction Management Overview
... actions (reads/writes of DB objects) of various transactions. The net effect is the same as serially executing the transactions one after the other. Each transaction must leave the database in a consistent state if the DB is consistent when the transaction begins. • DBMS will enforce some ICs, depen ...
... actions (reads/writes of DB objects) of various transactions. The net effect is the same as serially executing the transactions one after the other. Each transaction must leave the database in a consistent state if the DB is consistent when the transaction begins. • DBMS will enforce some ICs, depen ...
Data Management and Database Technologies - Indico
... : CREATE, DROP, ALTER table • Data Manipulation Language (DML) : manipulate the data in the tables : SELECT, INSERT, UPDATE, DELETE • Data Control Language (DCL) : control user access to the database schema : GRANT, REVOKE user privileges ...
... : CREATE, DROP, ALTER table • Data Manipulation Language (DML) : manipulate the data in the tables : SELECT, INSERT, UPDATE, DELETE • Data Control Language (DCL) : control user access to the database schema : GRANT, REVOKE user privileges ...
The Relational Theory
... • Treat data in a disciplined way –Apply rigor of mathematics –Uses Set Theory – sets of related data • Improve programmer productivity ...
... • Treat data in a disciplined way –Apply rigor of mathematics –Uses Set Theory – sets of related data • Improve programmer productivity ...
Query Rewriting in Itemset Mining
... where ξ is a statistical measure for the itemset evaluation and θ and v are defined as above. We require that the evaluation measure ξ : N → R of an itemset J is a bijection applied on the number of the groups in which J satisfies the constraints. Examples of ξ are support count and frequency. The s ...
... where ξ is a statistical measure for the itemset evaluation and θ and v are defined as above. We require that the evaluation measure ξ : N → R of an itemset J is a bijection applied on the number of the groups in which J satisfies the constraints. Examples of ξ are support count and frequency. The s ...
Database
... For most queries, the asterisk (*) should not be used to specify column names. In general, you process results by knowing in advance the order of the columns in the result—for example, selecting authorID and lastName from table authors ensures that the columns will appear in the result with authorID ...
... For most queries, the asterisk (*) should not be used to specify column names. In general, you process results by knowing in advance the order of the columns in the result—for example, selecting authorID and lastName from table authors ensures that the columns will appear in the result with authorID ...
Document
... Quiz Q3: The natural join operation matches tuples (rows) whose values for common attributes are (1) not equal (2) equal (3) weird Greek letters (4) null Database System Concepts - 6th Edition ...
... Quiz Q3: The natural join operation matches tuples (rows) whose values for common attributes are (1) not equal (2) equal (3) weird Greek letters (4) null Database System Concepts - 6th Edition ...
Tlak 99 - University of Southern California
... Valid time, vt, of a fact (any logical statement that is either true or false) is the collected times (possibly spanning the past, present & future) when the fact is true ...
... Valid time, vt, of a fact (any logical statement that is either true or false) is the collected times (possibly spanning the past, present & future) when the fact is true ...
Avoiding Common Traps When Accessing RDBMS Data
... When I first started programming in SAS, we read our data in from “flat files” (after entering our programs onto punched cards, of course). We had to worry about what column each field was in, and we might wind up making up our own variable names, but life was reasonably good. As time passed, it bec ...
... When I first started programming in SAS, we read our data in from “flat files” (after entering our programs onto punched cards, of course). We had to worry about what column each field was in, and we might wind up making up our own variable names, but life was reasonably good. As time passed, it bec ...
The Definitive Guide to Graph Databases
... relational databases isn’t designed for frequent modifications and pivots. Common schema changes indicate that the data or requirements are rapidly evolving, calling for a more flexible data model. 4. Slow-Running Queries (Despite Extensive Tuning & Hardware) Your DBA might use every trick in the bo ...
... relational databases isn’t designed for frequent modifications and pivots. Common schema changes indicate that the data or requirements are rapidly evolving, calling for a more flexible data model. 4. Slow-Running Queries (Despite Extensive Tuning & Hardware) Your DBA might use every trick in the bo ...
Exercises
... 1. Write a SELECT statement that returns two columns from the Invoices table: VendorID and PaymentSum, where PaymentSum is the sum of the PaymentTotal column. Group the result set by VendorID. 2. Write a SELECT statement that returns two columns: VendorName and PaymentSum, where PaymentSum is the su ...
... 1. Write a SELECT statement that returns two columns from the Invoices table: VendorID and PaymentSum, where PaymentSum is the sum of the PaymentTotal column. Group the result set by VendorID. 2. Write a SELECT statement that returns two columns: VendorName and PaymentSum, where PaymentSum is the su ...
Build a database IV: Create queries for a new Access database
... • Use the Query Designer to create a select query that returns data from a single table. • Create a select query that asks you to enter parameters, then returns results that match those parameters. • Use a formula in a query to calculate a sum. • Use the Query Wizard to create a select query that re ...
... • Use the Query Designer to create a select query that returns data from a single table. • Create a select query that asks you to enter parameters, then returns results that match those parameters. • Use a formula in a query to calculate a sum. • Use the Query Wizard to create a select query that re ...
Chapter 1 - Databases and information models
... The licensed program described in this document and all licensed material available for it are provided by IBM under terms of the IBM Customer Agreement, IBM International Program License Agreement or any equivalent agreement between us. Any performance data contained herein was determined in a cont ...
... The licensed program described in this document and all licensed material available for it are provided by IBM under terms of the IBM Customer Agreement, IBM International Program License Agreement or any equivalent agreement between us. Any performance data contained herein was determined in a cont ...
The Complete Guide to Securing Amazon RDS
... Amazon RDS is supported by AWS security groups to prevent any unauthorized connections based on IP address ranges, or EC2 security groups, within the same and different AWS accounts. The Amazon RDS account owner can configure requests from specific IP addresses or security groups that are allowed ac ...
... Amazon RDS is supported by AWS security groups to prevent any unauthorized connections based on IP address ranges, or EC2 security groups, within the same and different AWS accounts. The Amazon RDS account owner can configure requests from specific IP addresses or security groups that are allowed ac ...
CSS122_WINTER09_LECTURE08
... 'USA', 'English', (SELECT CompanyID FROM Companies WHERE Name = 'Dreamworks Pictures')); ...
... 'USA', 'English', (SELECT CompanyID FROM Companies WHERE Name = 'Dreamworks Pictures')); ...
Issues in Bridging DB & IR
... • “Find reviews of sci-fi comedies [movie domain] FROM review SELECT * WHERE r.text~’sci fi comedy’ (like standard ranked retrieval of “sci-fi comedy”) ...
... • “Find reviews of sci-fi comedies [movie domain] FROM review SELECT * WHERE r.text~’sci fi comedy’ (like standard ranked retrieval of “sci-fi comedy”) ...
Containment of Conjunctive Queries over Databases With Null Values
... returns each answer item only once. Chaudhuri and Vardi considered containment under bag semantics, which allows tuples to occur more than once in an answer and is the semantics implemented in SQL database systems [4]. Another line of research considers the effect of integrity constraints such as f ...
... returns each answer item only once. Chaudhuri and Vardi considered containment under bag semantics, which allows tuples to occur more than once in an answer and is the semantics implemented in SQL database systems [4]. Another line of research considers the effect of integrity constraints such as f ...
Aspects of Database Query Evaluation
... Database theory is a meeting point of algorithms, complexity, graph theory, and logic. Mihalis’ contributions to database theory have been long lasting and influential. ...
... Database theory is a meeting point of algorithms, complexity, graph theory, and logic. Mihalis’ contributions to database theory have been long lasting and influential. ...
On Scaling Up Sensitive Data Auditing
... to check for suspicious activity. In this way, we can limit the extent to which we need to go back in time. Alternately, we could maintain periodic backups, or use standard mechanisms such as change tracking [18] and database flashback [21] to reduce the cost of time-travel. On the other hand, in or ...
... to check for suspicious activity. In this way, we can limit the extent to which we need to go back in time. Alternately, we could maintain periodic backups, or use standard mechanisms such as change tracking [18] and database flashback [21] to reduce the cost of time-travel. On the other hand, in or ...