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How In-Memory Affects Database Design
How In-Memory Affects Database Design

... A. On-Disk Tables with FK, Instead Of Trigger - 0.0472 seconds per row - Total Time – 1:12 B. On-Disk Tables withOUT FK, Instead Of Trigger - 0.0271 seconds per row - Total Time – 0:51 C. In-Mem Tables using Interop code - 0.0202 seconds per row - Total Time 0:44 D. In-Mem Tables with Native Code - ...
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... Using this information we are going to check to see if your favourite James Bond was in your Favourite film. Task 2 Using the information you gathered try doing a query for another piece of information. e.g. Which James Bonds drove Aston Martins ...
The Complete Guide to Securing Amazon RDS
The Complete Guide to Securing Amazon RDS

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Oracle Data Guard 11g Release 2:
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An In-Database Rough Set Toolkit
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... analyzing them effectively. As a result, Rough Set Theory (RST) became subject to these interdisciplinary areas as reliable instrument of extracting hidden knowledge from data. That trend is visible in the versatile existence of rough setbased software libraries and tools interfacing data from flat ...
evaluation of existing technology
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... Approximate database size (in MB/GB/TB - please indicate) # of Users (Concurrent and/or Batch) # of Tables / Views # of Procedures and Packages # of Triggers Optimizer mode in use? (COST / RULE / CHOOSE) Is the database auditing enabled? How is uniqueness generated for database rows? (natural keys, ...
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Lec18OODatabase2
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InterBase® and MySQL
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Logical Data Modelling
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... to explore the formality of a developing a logical data model, that conforms to the ‘rules’ of Codd’s Relational Model. the ‘language’ and ‘rules’ of Relational Modelling, and the ‘definition’ of Relations. ...
Techwave_2005_am18a_ASAInternals
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Physical Database Design and Tuning
Physical Database Design and Tuning

... After ER design, schema refinement, and the definition of views, we have the conceptual and external schemas for our database.  The next step is to choose indexes, make clustering decisions, and to refine the conceptual and external schemas (if necessary) to meet performance goals.  We must begin ...
Topic: The Relational Database Model and Database Development
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ProgrammingMSSQL2012
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`Modern` Databases
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Super database computers : hardware and software
Super database computers : hardware and software

... the notion and characteristics of very large databases for online storage and processing are motivated. The database computer requirements The limitations and bottlenecks of the for very large databases are given. conventional database computer (i.e., the database management system, DBMS, utilizing ...
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...  A relational database stores data in a collection of related tables ...
Chapter 19: Distributed Databases
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...  Alternative models carry out transactions by sending messages  Code to handle messages must be carefully designed to ensure atomicity and durability properties for updates  Isolation cannot be guaranteed, in that intermediate stages are visible, but code must ensure no inconsistent states result ...
Database Connectivity Toolkit for Big Data
Database Connectivity Toolkit for Big Data

... does not support stored procedures through its usual user interface. A stored procedure created in one DBMS might not work with another. You can use the Database Connectivity Toolkit for Big Data to create and run stored procedures, both with and without parameters. Although using stored procedures ...
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Concurrency control

In information technology and computer science, especially in the fields of computer programming, operating systems, multiprocessors, and databases, concurrency control ensures that correct results for concurrent operations are generated, while getting those results as quickly as possible.Computer systems, both software and hardware, consist of modules, or components. Each component is designed to operate correctly, i.e., to obey or to meet certain consistency rules. When components that operate concurrently interact by messaging or by sharing accessed data (in memory or storage), a certain component's consistency may be violated by another component. The general area of concurrency control provides rules, methods, design methodologies, and theories to maintain the consistency of components operating concurrently while interacting, and thus the consistency and correctness of the whole system. Introducing concurrency control into a system means applying operation constraints which typically result in some performance reduction. Operation consistency and correctness should be achieved with as good as possible efficiency, without reducing performance below reasonable levels. Concurrency control can require significant additional complexity and overhead in a concurrent algorithm compared to the simpler sequential algorithm.For example, a failure in concurrency control can result in data corruption from torn read or write operations.
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