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Chapter 4: SQL
Chapter 4: SQL

... Data Definition Language (DDL) Allows the specification of not only a set of relations but also information about each relation, including: The schema for each relation. The domain of values associated with each attribute. Integrity constraints The set of indices to be maintained for each relations ...
Database Tools Overview
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... built-in support for primary and foreign keys, database-specific rules, and cascading updates and deletes. This means that a developer is freed from having to create rules using procedural code to implement data integrity. Also, the engine itself consistently enforces these rules, so they are availa ...
RN_T22v01_CERT_contribution
RN_T22v01_CERT_contribution

... found in real databases: efficient storage, indexes, security, transactions and data integrity, multi-user access, triggers, queries across multiple documents, and so on. Thus, while it may be possible to use an XML document or documents as a database in environments with small amounts of data, few ...
Oracle Migration Assessment
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... that the customer utilize some consulting help from EnterpriseDB to accomplish the migration as some features may need a significantly different implementation or solution than currently in use. The actual migration of the database and any needed modifications can typically be performed in 4 to 8 we ...
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... that the database could have been seriously corrupted. The execution of new transactions can be resumed only after the database is recovered for sure. In some cases, the real purpose of a data corruption attacker could be denail-of-service to good users. Besides preventive controls, a self-healing o ...
Temporal Data and The Relational Model
Temporal Data and The Relational Model

... SI1  SI2 iff every point in an interval in SI1 is a point in some interval in SI2, and vice versa. Under this equivalence relationship we then define two canonical forms: collapsed form and expanded form. In each of these forms, no point appears more than once. ...
Amazon Athena User Guide - AWS Documentation
Amazon Athena User Guide - AWS Documentation

... Athena uses an internal data catalog to store information and schemas about the databases and tables that you create for your data stored in Amazon S3. You can modify the catalog using data definition language (DDL) statements or using the AWS Management Console. Any schemas you define are automatic ...
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... year) and section-number (if there is more than one section)  If we model course-offering as a strong entity we would model ...
Chapter 2: Entity-Relationship Model Entity Sets
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... year) and section-number (if there is more than one section) ! If we model course-offering as a strong entity we would model ...
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... database management systems has made interoperability among data and hardware resources increasingly important. The tools utilized to access and analyze this data across the network are what makes the interoperability possible. Release 6.06 of the SAS System offers two powerful software products, SA ...
Amazon Athena User Guide - AWS Documentation
Amazon Athena User Guide - AWS Documentation

... Athena uses an internal data catalog to store information and schemas about the databases and tables that you create for your data stored in Amazon S3. You can modify the catalog using data definition language (DDL) statements or using the AWS Management Console. Any schemas you define are automatic ...
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... relationship attribute, if each account can have only one customer ! I.e., the relationship from account to customer is many to one, ...
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... Oracle 10g: Simplified syntax, RAC support, partial failover cluster support, reuse of old primary as new standby database, automatic standby activation Fast Start Failover understood ...
Triggers
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... 14. These tables are for single event while in Starburst tables correspond to multible events within a transaction reflecting the net effect of all the events in the transaction. 15. In DB2 a trigger is defined only on one event, unlike in ORACLE where a trigger can be defined on multiple events, (f ...
SAP – SQL Server Development
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... Separation of log files and data files  Data access patterns are completely different  Data and log should reside on physically separate disks  This is also true for storage systems with hypervolumes and other complex methods of mapping Windows drives to physical spindles ...
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www.ATIBOOK.ir
www.ATIBOOK.ir

Archiving Cultural Heritage in Malaysia
Archiving Cultural Heritage in Malaysia

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On Scaling Up Sensitive Data Auditing

... responsible for the breach. We refer to the above as data auditing. Traditional mechanisms such as triggers can be used to trace updates to sensitive data. However, data breaches happen primarily through data reads for which triggers are inapplicable. Our data auditing framework is based on the fund ...
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Chapter 2 Notes

... year) and section-number (if there is more than one section)  If we model course-offering as a strong entity we would model ...
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Eagle General Information

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... point in time by undoing all changes made since that time. Flashback Table recovers a table to a point in time in the past without restoring a backup. Flashback Drop restores accidentally dropped tables. ...
Greenplum Database 4.3 Client Tools for Windows
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... Specifies that psql is to execute the specified command string, and then exit. This is useful in shell scripts. command must be either a command string that is completely parseable by the server, or a single backslash command. Thus you cannot mix SQL and psql meta-commands with this option. To achie ...
Understanding and Creating Queries
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... 10. Close the Query in Design grid. (You actually do not have to save this query unless you need to run it again in future. If you do run it again, Access will delete the existing one first before it presents you with a new table.) Append Query: You can use a query to add records to a table by crea ...
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Entity–attribute–value model

Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In mathematics, this model is known as a sparse matrix. EAV is also known as object–attribute–value model, vertical database model and open schema.
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