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An Implementation for Nested Relational Databases
An Implementation for Nested Relational Databases

... tuple-identifiers of tuples that contain the value of the indexed attribute. Our approach to indexing follows the domain based approach suggested by Missikoff [16] and Missikoff and Scholl [17] for relational databases. In their approach, an atomic value maps to a list of tuple identifiers of tuples ...
Database System Development Life Cycle
Database System Development Life Cycle

... Undertaken at any time prior to logical design provided sufficient information is available regarding system requirements. Main steps to selecting a DBMS: • define Terms of Reference of study; • shortlist two or three products; • evaluate products to meet current and future ...
Chapter 1: Introduction Database Management System (DBMS)
Chapter 1: Introduction Database Management System (DBMS)

... to add new constraints or change existing ones! ...
Class #6
Class #6

... Primary key - unique identifier Alternate key - alternative to the primary key Foreign key - links to a primary key elsewhere Descriptive field – every attribute not a key! ...
Microsoft Open Database Connectivity (ODBC) | Microsoft Docs
Microsoft Open Database Connectivity (ODBC) | Microsoft Docs

... A strategy to increase concurrency in which rows are not locked. Instead, before they are updated or deleted, a cursor checks to see if they have been changed since they were last read. If so, the update or delete fails. See also pessimistic concurrency. outer join A join in which both matching and ...
Slide 1
Slide 1

I 257: Database Management - Courses
I 257: Database Management - Courses

... • A SET is a string object that can have zero or more values, each of which must be chosen from a list of allowed values specified when the table is created. • SET column values that consist of multiple set members are specified with members separated by commas (‘,’) • For example, a column specifie ...
Relationships - Programajama!
Relationships - Programajama!

... But let's say the only reason I need to do this, to keep track of driver's license data is so I can associate a license with an employee for making travel reservations. So, in this system that I'm describing, it's a pure one-to-one relationship. One employee row points to one driver's license row. T ...
Database and Cloud Security
Database and Cloud Security

... Data protection Evaluate the suitability of the cloud provider’s data management solutions for the organizational data concerned and the ability to control access to data, to secure data while at rest, in transit, and in use, and to sanitize data. Take into consideration the risk of collating organi ...
Database Projects in Visual Studio
Database Projects in Visual Studio

... Contents 3 stages:  Insert data  Check values ...
Probabilistic Ranking of Database Query Results
Probabilistic Ranking of Database Query Results

... For each query Qi , generate a set Hi of 30 tuples likely to contain a good mix of relevant and irrelevant tuples Let each user mark 10 tuples in Hi as most relevant to Qi Measure how closely the 10 tuples marked by the user match the 10 tuples returned by each algorithm ...
Lecture Slides
Lecture Slides

pertemuan5-performance management
pertemuan5-performance management

... We have defined database performance and discussed it from a high level.  Before we delve into the specifics of system, database, and application performance, let's examine some rules of thumb for achieving your DBMS-related performance goals. ...
handout (6 slides per page)
handout (6 slides per page)

... requires that we find a “good” representation of the information from an application domain (e.g., banking) as a collection of relation schemas.! ...
Document
Document

... value in one table can be used to point to the corresponding value in the other table. • For example, the VEND_CODE value 235 in the PRODUCT table points to vendor Henry Ortozo in the VENDOR table. • Consequently, you discover that the product “Houselite chain saw, 16-in. bar” is delivered by Henry ...
Populating the Data Warehouse (ETL)
Populating the Data Warehouse (ETL)

Normal forms
Normal forms

... that fourth normal form is defined in terms of multivalued dependencies, which correspond to our independent multi-valued facts. Multivalued dependencies, in turn, are defined essentially as relationships which accept the "cross-product" maintenance policy mentioned above. That is, for our example, ...
Understanding Computers, 11/e, Chapter 14
Understanding Computers, 11/e, Chapter 14

... retrieved information (GIGO) Data validation: ensuring that data entered into the database matches the data definition  Helps to increase data integrity  Can be enforced on a per transaction basis so the entire transaction will fail if one part is invalid Database locking: prevents two individuals ...
The Askew Wall or Date and Darwen`s Database Dream
The Askew Wall or Date and Darwen`s Database Dream

... has ever asked for” : SELECT all columns except specified one. In Tutorial D: ...
JDBC_Oracle
JDBC_Oracle

... • This is the default (and same as in JDBC 1.0) and allows only data to be read from the database. • ResultSet.CONCUR_UPDATABLE • This option allows for the Java program to make changes to the database based on new methods and positioning ability of the cursor. ...
pstmt.setInt(1, 100)
pstmt.setInt(1, 100)

... – If accessing the database is a small part of a large Java application – Etc. • Why not keep all the data in Java objects? • “Separation of concerns”: DBMSes concentrate on data storage and access; programs concentrate on algorithms, networking, etc. ...
Advanced Database Features
Advanced Database Features

... they have to be ‘fed’ with cryogenic thermometers settings . The data that they need is split between several database schemas on different databases. How can I solve the problem? ...
F/gs/gAQRIBUHON % % % % ARE EQUALLY DISTRIBUTED T0
F/gs/gAQRIBUHON % % % % ARE EQUALLY DISTRIBUTED T0

... Pat. No. 5,806,059, which is a continuation of application No. 08/180,674, Jan. 13, 1994, abandoned. ...
Normalization
Normalization

...  The key idea is to reduce the chance of having multiple different version of the same data.  Well-normalized databases have a schema that reflects the true dependencies between tracked ...
Basic_Oracle_Architecture
Basic_Oracle_Architecture

... Updating control files with checkpoint information ...
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Extensible Storage Engine

Extensible Storage Engine (ESE), also known as JET Blue, is an ISAM (Indexed Sequential Access Method) data storage technology from Microsoft. ESE is notably a core of Microsoft Exchange Server, Active Directory and Branch Cache. Its purpose is to allow applications to store and retrieve data via indexed and sequential access. Numerous Windows components take advantage of ESE, such as Desktop Search and Active Directory.ESE provides transacted data update and retrieval. A crash recovery mechanism is provided so that data consistency is maintained even in the event of a system crash. Transactions in ESE are highly concurrent making ESE suitable for server applications. ESE caches data intelligently to ensure high performance access to data. In addition, ESE is lightweight making it suitable for auxiliary applications.The ESE Runtime (ESENT.DLL) has shipped in every Windows release since Windows 2000, with native x64 version of the ESE runtime shipping with x64 versions of Windows XP and Windows Server 2003. Microsoft Exchange, up to Exchange 2003 shipped with only the 32-bit edition, as it was the only supported platform. With Exchange 2007, it ships with the 64-bit edition.
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