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mapping variables
mapping variables

... in that it allows you to select a group of top or bottom values, not just one value. For example, you can use Rank to select the top 10 salespersons in a given territory. Or, to generate a financial report, you might also use a Rank transformation to identify the three departments with the lowest ex ...
Getting Started with Base - The Document Foundation Wiki
Getting Started with Base - The Document Foundation Wiki

... These include text files, spreadsheets, or a file created by a database program. A collection of data does not serve a good purpose unless we can use the information it contains. Therefore, a structure has to be built using data. In a spreadsheet, formulas and cell links are used to obtain informati ...
Applications for multilevel secure operating systems
Applications for multilevel secure operating systems

... consider a highly-classified computer that maintains an intelligence data base. This data base typically contains pieces Very often a computer system user needs to process sev- of data with attributes that make them very sensitive. Howeral levels of information at the same time. This need is ever, t ...
Ontology-based Geographic Data Access in a Peer Data
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... between the peer ontology elements and their corresponding in the geographic database schema. The easeGO approach has been specified and developed to take into account the set of correspondences between the peer ontology and the geographic database schema elements, thus enabling query reformulation. ...
Syllabus - Marwadi University
Syllabus - Marwadi University

... lowest level of abstraction, the physical level, describes how the data are actually stored and details the data structures. The next-higher level of abstraction, the logical level, describes what data are stored, and what relationships exist among those data. The highest level of abstraction, the v ...
Testing the Implementation of Business Rules using Intensional
Testing the Implementation of Business Rules using Intensional

... of the business’s policies and principles. Example rules include: no customer may have more than two unpaid orders; and a customer is a gold customer if they have placed more than 50 orders in the last year. These rules are central to the operation of the business and are deeply embedded within the ...
Risk-Free Storage for the VMware View Mobile
Risk-Free Storage for the VMware View Mobile

... This results in an optimal user experience and fewer help desk calls, especially from mobile users. The Nimble Storage flash-optimized architecture, coupled with VMware ViewTM, also helps rein in the cost of desktop virtualization. Nimble Storage arrays compress data as it is being stored, reducing ...
dmsunit5ppt - SNGCE DIGITAL LIBRARY
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... Two schedules S1 and S2 over the same set of transactions are view equivalent 1.If Ti reads the initial values of object A in s1,it must also read the initial value of A in s2. 2.if Ti reads a value of A written by Tj in S1,it must also read the value of A written by Tj in S2 3 .for each data object ...
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Shoper 9 Diamond Installation Guide
Shoper 9 Diamond Installation Guide

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Ch3_RM - Fordham University Computer and Information
Ch3_RM - Fordham University Computer and Information

...  Option 1: Delete/Update all Enrolled rows that refer to the deleted sid in Students (CASCADE). Both are affected  Option 2: Reject the deletion/updating of the Students row if an Enrolled row refers to it (NO ACTION ). [The default action for SQL]. None is affected.  Option 3: Set the sid of Enr ...
Soarian™ User Interface
Soarian™ User Interface

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SQL Server White Paper Template - Center
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... database environment. The nature of the physical model depends on the target platform. Many database products work best with a physical dimensional model, although a more normalized model may make sense on a few platforms. The last data step is to create the ETL system that will populate the target ...
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... Databases can execute transactions in a way that appears to be serialized Isolation: “When multiple transactions execute concurrently, they must appear to execute one after the other, in isolation of each other.” ...
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... Using the recommendations in this paper will help you develop a strategy that meets current needs but is also scalable and flexible so that it meets future needs. You can see the impact of a poorly designed backup and recovery solution not only when you require a recovery, but also in the performanc ...
Oracle Database Security Checklist
Oracle Database Security Checklist

... SYSOPER roles. As with any database role, careful consideration should be given when granting these roles. Oracle recommends customers refrain from connecting with the SYSDBA role except when absolutely required such as called for by an existing Oracle feature or patching. Moving forward Oracle will ...
Transaction Management Overview
Transaction Management Overview

... actions (reads/writes of DB objects) of various transactions. The net effect is the same as serially executing the transactions one after the other. Each transaction must leave the database in a consistent state if the DB is consistent when the transaction begins. • DBMS will enforce some ICs, depen ...
Data Warehousing
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... mining, data warehouses store massive amounts of data that can be used for data mining. Data mining analyses also use smaller sets of data that can be organized in online analytic processing (OLAP) systems of in data mining. OLAP: provides access to report generators and ...
GIS Work Book - FTP Directory Listing
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ECDL Module 5 Notes
ECDL Module 5 Notes

... Good database design suggests data is organised across multiple tables, as to store data in one single table would; 1) Result in vast amounts of duplicated data and 2) Quickly become unmanageable. Relationships are used to create a link between two or more tables within a database. When a link is es ...
Action Queries
Action Queries

... a transaction is committed, its actions are visible on your connection but not to others  When a transaction is committed, it cannot be rolled back, and its changes may be visible to other users  By default, most applications that interact with a database will auto commit transactions ...
Towards Graph Containment Search and Indexing
Towards Graph Containment Search and Indexing

... researchers to understand its possible properties. In computer vision, attributed relational graphs (ARG) [7] are used to model images by transforming them into spatial entities such as points, lines, and shapes. ARG also connects these spatial entities (nodes) together with their mutual relationshi ...
Cross-sectional and Episodic Deduplication in Record Linkage
Cross-sectional and Episodic Deduplication in Record Linkage

... provided by obstetricians, gynecologists and pediatricians that are involved in the perinatal care of the patients. ...
Document
Document

... • The Oracle server dumps information about errors detected by any background process in trace files • Oracle support uses these trace files to diagnose and trouble shoot problems ...
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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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