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View PDF - CiteSeerX
View PDF - CiteSeerX

... The transition from C to C++ is made easier by the fact that these languages share a common core. It is made more dicult by the lack of tools to support C++ program development. C programmers enjoy the support of many program development and analysis tools. Unfortunately, few of these tools transfe ...
Reading Data
Reading Data

... the data to write out. This says to only report on origin-destination pairs where we actually send a positive flow. ■ -> is syntax. It separates the indexing from the data definition and mapping to fields of the output table. ■ [origin, destination] indicates that the records of the output table are ...
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m - Hal

... Linked Open Data Cloud Linked Datasets as of Aug. 30th 2014. (c) R. Cyganiak & and A. Jentzsch Franck Michel ...
Oracle Providers for ASP.NET
Oracle Providers for ASP.NET

... • Fill a DataSet with just a portion of the REF Cursor result • Explicit control over what REF Cursor data is retrieved and ...
PL/SQL
PL/SQL

...  A cursor is a reserved area of memory in which the output of the query is stored like an array holding columns and rows.  Cursors are held in a reserved memory area in the DBMS server, not in the client computer. ...
Mining Association Rules between Sets of Items in Large Databases
Mining Association Rules between Sets of Items in Large Databases

... of past transaction data is a commonly used approach in order to improve the quality of such decisions. Until recently, however, only global data about the cumulative sales during some time period (a day, a week, a month, etc.) was available on the computer. Progress in bar-code technology has made ...
it is your code - CodeSmith Tools
it is your code - CodeSmith Tools

... • Partnered together with a common goal: • “Build world-class software tools” ...
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Using the Data Source Explorer
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... be directly made on the spatial datasets in an RDBMS environment, the results will ensure only the up-to-date output. Any change in the layer would reflect immediately on the result sets.  The application provide means for importing attribute datasets even from an Excel sheet and update the dataset ...
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"3"^^xsd:decimal - Platform Linked Data Nederland

... Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | ...
Indexing Semistructured Data - Stanford InfoLab
Indexing Semistructured Data - Stanford InfoLab

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WinSPC 8.2 - DataNet Quality Systems

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Design and Implementation: Large Scale IPv6 Multimedia

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Concurrency Control Chapter Handbook of Database Technology

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On Scaling Up Sensitive Data Auditing
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... order to identify parts of the data that were breached and the users 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 trigge ...
Chapter 19: Distributed Databases
Chapter 19: Distributed Databases

... Increased complexity of concurrency control: concurrent updates to distinct replicas may lead to inconsistent data unless special concurrency control mechanisms are implemented. ...
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Data Structures in Natural Computing

... geometry and topology it provides a mathematical workspace where the notion of natural existence can be rigorously represented. Concepts like ’same’ or ‘equality’ present some difficulty whether expressed in words or symbols, even the very familiar A = B may not be properly defined. There are two co ...
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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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