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Databases - Course Introduction
Databases - Course Introduction

... IQueryable employees = context.Employees .Where(employee => employee.Name == "Plamen"); context.Employees.Update( employees, employee => new Employee() {Age = 99}); ...
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Quest Recovery Manager for Exchange Data Sheet
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... common interface for information integration is also well discussed ([15]). XML has been recognized as a good method for web-based information integration ([6]). More recently, XML based information mediation has been extensively studied in the MIX project ([2]). These studies suggested that XML has ...
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... – For each sales rep with fewer than four customers, list the rep number, the number of customers assigned to the rep, and the average balance of the rep’s customers. Rename the count of the number of customers and the average of the balances to NumOfCustomers and AverageBalance. – Use of “Having” c ...
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... information from which a computer program can quickly access information • Each row in a database table is called a record • A record in a database is a single complete set of related information • Each column in a database table is called a field • Fields are the individual categories of informatio ...
Analysis of Telecommunication Database using Snowflake Schema
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... their think times. We demonstrate how DORA maintains high performance as load varies from idle to saturated or to oversubscribed. During idle execution, DORA exploits intratransaction parallelism to improve response times and machine utilization; during busy periods, the system benefits from reduced ...
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... To supply a common knowledge database that includes biological and computational aspect of the neuronal science, modelDB [11] has given an example. It supplies the computational model by the classification of neuronal composition. The advantage that modelDB, is that we can find various formats of co ...
Datalog and Emerging Applications: An Interactive
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... as seen through the lens of these recent developments. The tutorial first briefly reviews the Datalog language and recursive query processing and optimization techniques, covering the basics but emphasizing features and techniques beyond “classical” Datalog which are vital for practical applications ...
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... – For each sales rep with fewer than four customers, list the rep number, the number of customers assigned to the rep, and the average balance of the rep’s customers. Rename the count of the number of customers and the average of the balances to NumOfCustomers and AverageBalance. – Use of “Having” c ...
Spatial Data Storage and Topology in the Redesigned MAF/TIGER
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... hardware, and require proprietary data update and access tools, as well as separate archiving, system maintenance, and tuning. For many organizations, GIS projects represent a major integration challenge consuming a large portion of the IT budget. Much of this is directed towards integration between ...
IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, PP 63-68 www.iosrjournals.org
IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, PP 63-68 www.iosrjournals.org

... it achieves important milestone for the framework in terms of functionality but also for the improvements made to increase developer productivity. By decreasing coupling within the framework, reducing configuration, providing default and different configuration options (via annotations), and providi ...
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Clusterpoint

Clusterpoint is a privately held European technology company developing and supporting Clusterpoint database software platform. Company was co-founded by software engineers with expertise in Big data computing. Founders were dissatisfied with complexity, scalability and performance limitations of relational database architecture. The first version of the product was released in 2006. Company is venture capital backed.Clusterpoint database is a document-oriented database server platform for storage and processing of XML and JSON data in a distributed fashion on large clusters of commodity hardware. Database architecture blends ACID-compliant OLTP transactions, full-text search and analytics in the same code, delivering high availability and security.Clusterpoint database enables to perform transactions in a distributed document database model in the same way as in a SQL database. Users can perform secure real-time updates, free text search, analytical SQL querying and reporting at high velocity in very large distributed databases containing XML and JSON document type data. Transactions are implemented without database consistency issues plaguing most of NoSQL databases and can safely run at high-performance speed previously available only with relational databases. Real time Big data analytics, replication, loadsharing and high-availability are standard features of Clusterpoint database software platform.Clusterpoint database enables web-style free text search with natural language keywords and programmable relevance sorting of results. Constant and predictable search response time with latency in milliseconds and high quality of search results are achieved using policy-based inverted indexation and unique relevance ranking method. Database also supports essential SQL query, that can be combined with free text search in a single REST API.For most of its history Clusterpoint was servicing business customers as an enterprise software vendor.In January 2015 Clusterpoint changed the licensing policy to free software license version. From February 2015 Clusterpoint database is available as a cloud service (DBAAS). The latest Clusterpoint database production version is 3.0, released in February, 2015.
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