ppt
... A transaction must see a consistent database. During transaction execution the database may be temporarily ...
... A transaction must see a consistent database. During transaction execution the database may be temporarily ...
PPT - Electrical and Computer Engineering Department
... will see an inconsistent database (the sum A + B will be less than it should be). T1 T2 1. read(A) ...
... will see an inconsistent database (the sum A + B will be less than it should be). T1 T2 1. read(A) ...
Chapter 21: New Applications
... The data at a node is not partitioned further if either all (or most) of the items at the node belong to the same class, or all attributes have been considered. Such a node is a leaf node. Otherwise the data at the node is partitioned further by picking an attribute for partitioning data at the ...
... The data at a node is not partitioned further if either all (or most) of the items at the node belong to the same class, or all attributes have been considered. Such a node is a leaf node. Otherwise the data at the node is partitioned further by picking an attribute for partitioning data at the ...
Developing Value from Oracle’s Audit Vault November 13, 2014
... Centrally provision database audit settings to support security and compliance policies Manage collection of audit settings on the databases Compare against existing audit settings on database to required security and compliance policies ...
... Centrally provision database audit settings to support security and compliance policies Manage collection of audit settings on the databases Compare against existing audit settings on database to required security and compliance policies ...
(A) R
... Use the union rule to replace any dependencies in F 1 1 and 1 1 with 1 1 2 Find a functional dependency with an extraneous attribute either in or in If an extraneous attribute is found, delete it from until F does not change ...
... Use the union rule to replace any dependencies in F 1 1 and 1 1 with 1 1 2 Find a functional dependency with an extraneous attribute either in or in If an extraneous attribute is found, delete it from until F does not change ...
Database Installation
... The SQL Server login will subsequently be utilized in the web.config modifications described in the “Database and Application Deployment” IT guide. At a minimum, the SQL Server login used for the application should have: db_reader db_writer db_executor Db_executor may not be a standard role in ...
... The SQL Server login will subsequently be utilized in the web.config modifications described in the “Database and Application Deployment” IT guide. At a minimum, the SQL Server login used for the application should have: db_reader db_writer db_executor Db_executor may not be a standard role in ...
Document
... Other Types of Database Clients • The following are all systems that use a database – ATM machine – data is stored on the bank’s database. The data is accessible from any ATM machine. – Point of Sale – when you buy items in a supermarket and the cashier “scans” the item – the scanner and the checkou ...
... Other Types of Database Clients • The following are all systems that use a database – ATM machine – data is stored on the bank’s database. The data is accessible from any ATM machine. – Point of Sale – when you buy items in a supermarket and the cashier “scans” the item – the scanner and the checkou ...
Database Design - Section 16
... Demand and Global Fast Foods tables. Assist students with drawing relationship lines between each table. These graphic layouts of each table will help students visually picture the table structure and will be very useful when learning the SQL commands. This activity could also be done in groups. Eac ...
... Demand and Global Fast Foods tables. Assist students with drawing relationship lines between each table. These graphic layouts of each table will help students visually picture the table structure and will be very useful when learning the SQL commands. This activity could also be done in groups. Eac ...
Document
... However, executing multiple transactions concurrently has significant benefits, as we will see later. ...
... However, executing multiple transactions concurrently has significant benefits, as we will see later. ...
Slide 1
... Terminology is different than that for SQL Server An Oracle database is made up of many table spaces A table space can be made up of many data files. Also need to be aware of redo log files and control files Table spaces are logical containers for objects such as: ...
... Terminology is different than that for SQL Server An Oracle database is made up of many table spaces A table space can be made up of many data files. Also need to be aware of redo log files and control files Table spaces are logical containers for objects such as: ...
while new - UHasselt
... • Intuition: In whilenew you cannot make arbitrary choices (recall consistency criterion) Instead of choosing one successor relation, we must work with them all. • whilenew-PTIME: class of whilenew-PSPACEprograms running in polynomial time. ...
... • Intuition: In whilenew you cannot make arbitrary choices (recall consistency criterion) Instead of choosing one successor relation, we must work with them all. • whilenew-PTIME: class of whilenew-PSPACEprograms running in polynomial time. ...
Database Processing, 12e (Kroenke/Auer)
... creating and processing reports. The DBMS creates databases, tables and supporting structures, manages database data, enforces rules and provides security. The database stores the user data, the database metadata, indexes, triggers, stored procedures and application metadata. Diff: 2 Page Ref: 8-13 ...
... creating and processing reports. The DBMS creates databases, tables and supporting structures, manages database data, enforces rules and provides security. The database stores the user data, the database metadata, indexes, triggers, stored procedures and application metadata. Diff: 2 Page Ref: 8-13 ...
Database Processing, 12e (Kroenke/Auer)
... purpose by storing data in tables. Each table has rows and columns, similar to a spreadsheet. A database usually has multiple tables in order to keep track of different but related things. For example, we might have a CUSTOMER table to keep track of customers and a PRODUCT table to keep track of the ...
... purpose by storing data in tables. Each table has rows and columns, similar to a spreadsheet. A database usually has multiple tables in order to keep track of different but related things. For example, we might have a CUSTOMER table to keep track of customers and a PRODUCT table to keep track of the ...
TinyDB Documentation Release 2.1.0 Markus Siemens October 14, 2014
... 2 it also converts strings to unicode strings upon reading (described here). If that causes problems, you can write your own storage, that uses a more powerful (but also slower) library like pickle or PyYAML. Alternative JSON libary As already mentioned, the default storage relies upon Python’s JSON ...
... 2 it also converts strings to unicode strings upon reading (described here). If that causes problems, you can write your own storage, that uses a more powerful (but also slower) library like pickle or PyYAML. Alternative JSON libary As already mentioned, the default storage relies upon Python’s JSON ...
marked
... CPU cost likely to be less than that for block nested loops join CIS 560: Database System Concepts ...
... CPU cost likely to be less than that for block nested loops join CIS 560: Database System Concepts ...
A Database Perspective on Knowledge Discovery
... covery feature. The same is true for most online analytical processing (OLAP) tools. We call such systems firstgeneration database mining systems. The current situation is very similar to the situation in database management systems in the early 1960s, when each application had to be built from scra ...
... covery feature. The same is true for most online analytical processing (OLAP) tools. We call such systems firstgeneration database mining systems. The current situation is very similar to the situation in database management systems in the early 1960s, when each application had to be built from scra ...
Data Guard
... ## APPLY FINISH TIME - An estimate of the time needed to apply all received, but unapplied redo from the primary database. ## APPLY LAG – How long the data in a standby database lags behind the data in the primary database. ## ESTIMATED STARTUP TIME - An estimate of the time needed to start and open ...
... ## APPLY FINISH TIME - An estimate of the time needed to apply all received, but unapplied redo from the primary database. ## APPLY LAG – How long the data in a standby database lags behind the data in the primary database. ## ESTIMATED STARTUP TIME - An estimate of the time needed to start and open ...
Top of Form Week 3: Tables, MS Access vs. Excel, and Data Integrity
... When the data is organized in a systemic fashion, the data will be easier to work with. If a large amount of data was entered into Excel, the spreadsheet would have several (in some instances, thousands) columns and rows. The spreadsheet probably wouldn't make much sense and seem somewhat messy and ...
... When the data is organized in a systemic fashion, the data will be easier to work with. If a large amount of data was entered into Excel, the spreadsheet would have several (in some instances, thousands) columns and rows. The spreadsheet probably wouldn't make much sense and seem somewhat messy and ...
Oracle DB Engine
... The displayed entries can be filtered by entering a filter-criterion in the filter-box, located at the top right corner. Only entries which include the filter-criterion as a character string are displayed. The drill-down arrow at the data table's left edge allows to navigate to the next lower detail ...
... The displayed entries can be filtered by entering a filter-criterion in the filter-box, located at the top right corner. Only entries which include the filter-criterion as a character string are displayed. The drill-down arrow at the data table's left edge allows to navigate to the next lower detail ...
Advanced Installation of NoiseTools
... When NoiseTools was updated from v1.4.6 to v1.5, the .NET Framework used was changed from 3.5 to 4.0 to allow for new functions and features to be added. By default, .NET 4.0 is not included with Windows XP (as this was released before .NET 4.0 was available) and so to run NoiseTools v1.5 or later o ...
... When NoiseTools was updated from v1.4.6 to v1.5, the .NET Framework used was changed from 3.5 to 4.0 to allow for new functions and features to be added. By default, .NET 4.0 is not included with Windows XP (as this was released before .NET 4.0 was available) and so to run NoiseTools v1.5 or later o ...
C H A P T E R
... – Data manipulation that combines two or more tables. – These three tables can be joined using a common field such as Dept. number. – Example: Using Project number (155) we can find out the description of the project and for what department the project was conducted. This can be done easily even tho ...
... – Data manipulation that combines two or more tables. – These three tables can be joined using a common field such as Dept. number. – Example: Using Project number (155) we can find out the description of the project and for what department the project was conducted. This can be done easily even tho ...
Chapter 7: Relational Database Design
... R into R1, R2, …, Rn we apply the following simplified test (with attribute closure done w.r.t. F) result = while (changes to result) do for each Ri in the decomposition t = (result Ri)+ Ri result = result t If result contains all attributes in , then the functional dependency is ...
... R into R1, R2, …, Rn we apply the following simplified test (with attribute closure done w.r.t. F) result = while (changes to result) do for each Ri in the decomposition t = (result Ri)+ Ri result = result t If result contains all attributes in , then the functional dependency is ...
document
... Databases grow with time. If initial number of buckets is too small, performance will degrade due to too much overflows. If we allocate a large space there is waste If database shrinks, again space will be wasted. One option is periodic re-organization of the file with a new hash function, b ...
... Databases grow with time. If initial number of buckets is too small, performance will degrade due to too much overflows. If we allocate a large space there is waste If database shrinks, again space will be wasted. One option is periodic re-organization of the file with a new hash function, b ...