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Chapter 1
Chapter 1

...  Data inconsistency: different and conflicting ...
[Powerpoint] - DataStewardship
[Powerpoint] - DataStewardship

... Schema-on-write ...
Applications of Object Relational Database Management Systems at
Applications of Object Relational Database Management Systems at

... changes in their boundaries can have large financial and logistic implications for these companies. Our other derived product, the “intelligent” single-line stream network, can be used to compute upstream areas for a point on a stream, which is essential information for environmental and road engine ...
1 - IPI PAN
1 - IPI PAN

... of indices generating a new one or removing them depending on the current need. As indices at the end of the book are used for quick page finding, a database index makes quick retrieving objects (or records) matching given criteria possible. Because indices have relatively small size (comparing to a ...
High-Quality Code - Unit Testing
High-Quality Code - Unit Testing

... Create a database called NorthwindTwin with the same structure as Northwind using the features from DbContext. Find for the API for schema generation in MSDN or in Google. ...
Translational Data Warehouse DesignStrategies for Supporting the
Translational Data Warehouse DesignStrategies for Supporting the

... “The dimension tables contain the textual descriptors of the business.” (Kimball, 2002). Each dimension table may be composed of many attributes. The dimension attributes are used to help qualify the criteria used in generating queries from the star schema. Every dimension table contains a primary k ...
Applications of Object Relational Database Management
Applications of Object Relational Database Management

... changes in their boundaries can have large financial and logistic implications for these companies. Our other derived product, the “intelligent” single-line stream network, can be used to compute upstream areas for a point on a stream, which is essential information for environmental and road engine ...
Slide 1
Slide 1

... click Chapter 9, Click Web Link from left navigation, then click Database Design Guidelines below Chapter 9 ...
Corporate Data: Bringing Together the Islands of Information with SAS/ACCESS® Software
Corporate Data: Bringing Together the Islands of Information with SAS/ACCESS® Software

... IMS database. The access descriptor definition process is more complicated than it is for DB2 because IMS does not store descrip· tive information about the contents of its databases. This information must be supplied at access descriptor definition time in order to correctly process the IMS data. I ...
Chapter 09
Chapter 09

... click Chapter 9, Click Web Link from left navigation, then click Database Design Guidelines below Chapter 9 ...
Best practices ® Query optimization in a data warehouse
Best practices ® Query optimization in a data warehouse

... This paper first outlines a summary of guidelines for defining the physical data model for the database and partitioning the data. However, the main focus of this document is on the collection of statistics and the analysis of query plans. The DB2 compiler uses a cost-based optimizer. Cost estimates ...
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... Prof. Dr. Toon Calders. While Databases course of bachelor curricula covered many of the core concepts behind database modeling, design and implementation, there are many other considerations that should be addressed for successful scientific or industry career in this field. The main objective of t ...
1411_Lecture4
1411_Lecture4

... table that might be used in a personnel system. • The table stores the attributes of employees. • Tables are composed of rows (also called records) and columns (also called fields) in which values are stored. • This table consists of six rows (one per employee) and five columns (one per attribute). ...
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... Implementation of Atomicity and Durability  The recovery-management component of a database ...
Time-Series Data Management
Time-Series Data Management

... We can decompose the data into 64 pure sine waves using the Discrete Fourier Transform (just the first few sine waves are shown in the next slide) ...
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Graph DataBases

... structures. Thus it’s all about storing data as vertices and edges. By definition, a graph database is any storage solution where connected elements are linked together without using an index. The neighbors of an entity are accessible by dereferencing a physical pointer. There are several types of g ...
IOSR Journal of Computer Engineering (IOSR-JCE)
IOSR Journal of Computer Engineering (IOSR-JCE)

... Performance Improvement Techniques for Customized Data Warehouse may take longer time due to switching between partitions as overhead [3]. Increasing physical memory size, partitioning can be avoided or number of partitions can be reduced resulting faster data access. Partitioning with indexing may ...
Probabilistic Databases - Home | Georgia State University
Probabilistic Databases - Home | Georgia State University

... • Tuples (identified by keys) exist for certain; an attribute value is however uncertain • Tomorrow temperature will be somewhere between 50F and 70F ...
Time-Series Data Management
Time-Series Data Management

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5 - Dr.Saleh Alzahrani Website

... Disadvantages: the user has to type in the student's name and e-mail address correctly each time that student signs up for a course. If a student's name or e-mail address changes, then the user might need to go back and change this information in many different records either manually or by running ...
Microsoft Azure in the Enterprise
Microsoft Azure in the Enterprise

... Get full control over a server in the cloud and maintain it as your business requires. ...
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Database Functions
Database Functions

... parts of a database. ______ store your data in rows and columns. All databases contain one or more of these. _______ retrieve and process your data. They can combine data from different tables, update your data, and perform calculations on your data. _____ control data entry and data views. They pro ...
Slide 1
Slide 1

... Performance and scaling Administration and 24/7 operation Constraints and referential integrity Triggers and stored procedures Datatype support ...
< 1 ... 251 252 253 254 255 256 257 258 259 ... 504 >

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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