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Survey of techniques used to reduce the Semantic Gap between
Survey of techniques used to reduce the Semantic Gap between

... storage subsystem to bridge the information gap between these two levels. Recentlystandardized Object-Based Storage Device (OSD) interface moves low level storage functionalities close to data and provides an object interface to access the data. [7] leverages OSD interface for communicating semantic ...
InfoSphere CDC - Real Time data Integration UC (PPT, 1
InfoSphere CDC - Real Time data Integration UC (PPT, 1

... Workload balancing capability (i.e. master to master support) allows database instances to remain synchronized where dual or double data entry is a requirement (i.e. data entry occurring on both systems at the same time). ...
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Chapter 1: The Database Environment
Chapter 1: The Database Environment

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Multitable Clustering File Organization
Multitable Clustering File Organization

... Allocates space in the buffer for the block 1. Replacing (throwing out) some other block, if required, to make space for the new block. 2. Replaced block written back to disk only if it was modified since the most recent time that it was written to/fetched from the disk. ...
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MySQL

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Visual Basic Database Access
Visual Basic Database Access

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Chapter 1 - Database Systems
Chapter 1 - Database Systems

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Simplify Your Database and Application Server
Simplify Your Database and Application Server

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Bioinformatics - Protein Information Resource

... terminological resources for genes and proteins. GENA (Koike et al., 2003) automatically gathers official gene symbols, official full names and synonyms from several databases, such as SwissProt, FlyBase (Drysdale and Crosby, 2005) and MGD (Eppig et al., 2005). ProMiner (Hanisch et al., 2003) extrac ...
ppt - Washington University in St. Louis
ppt - Washington University in St. Louis

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Advanced Database Systems
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... models but the key points to be covered are: Dimension modelling as a specialized example of an ER Model – both based on entities and relationships, the use of a fact table (with composite primary key) and a set of dimension tables (each with an atomic primary key) related to the fact table via fore ...
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... without the field names. There are many other options allowing the user to import field names, specific pieces of data or information about the data. As with any application, care must be taken to properly address missing data. In Example 1, take note of the options we needed on the INFILE statement ...
MCSE: Microsoft Certified Systems Engineer January
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... User Interface. All hand-coded, custom-developed front-end programming in HTML, CSS, JavaScript and DHTML, both for end-user and administration pages. Co-located Production Server. Configured, acquired and co-located high-availability Dell production server, managed remote access with pcAnywhere and ...
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Recovery Through RESETLOGS
Recovery Through RESETLOGS

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Structural Matching and Discovery in Document Databases
Structural Matching and Discovery in Document Databases

... Whereas much database research has been conducted to manage structured documents such as SGML and HTML (e.g., [1, 3, 8]), very few systems have been built to support their comparison or the discovery of patterns in their structures. As far as we know, only the LaDi program developed in [2] supports ...
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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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