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SQL Azure Presentation
SQL Azure Presentation

... Geo-location of Windows Azure compute and SQL Azure Databases Support for Application and multi-server management model Support for application packages Cloud or on-premise is a deployment time choice Visibility of data across on-premise and the cloud Support existing and new forms of deployment ...
EIN 4905/ESI 6912 Decision Support Systems Excel
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... applied to the data as it is consolidated. ...
account-number - UCLA Computer Science
account-number - UCLA Computer Science

... cannot be handled by a further cascading operation, the system aborts the transaction. As a result, all the changes caused by the transaction and its cascading actions are undone.  Referential integrity is only checked at the end of a transaction ...
Probabilistic Ranking of Database Query Results
Probabilistic Ranking of Database Query Results

...  Computes and Indexes the Quantities P(y | W), P(y | D), P(x | y,W), and P(x | y, D) for All Distinct Values x and y Execution  Select Tuples that Satisfy the Query  Scan and Compute Score for Each Result-Tuple ...
Chapter 2
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... Prototyping Database Methodology (Figure 2.6) (cont.) ...
In-Class Exercise #6
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... Essentially, you have companies, contacts, and employees. The database will track key data about their sales contacts, the companies for which those employees work, and when an employee gets in touch with a contact. The database will also store basic information about an employee. The Contact-Employ ...
Web Application Data
Web Application Data

... of 20 cookies per Web site  Maximum of 300 cookies total  Each cookie can store a maximum of 4 KB of data... ...
Distributed Databases
Distributed Databases

... • If all databases answered ”ready to commit”, coordinator sends ”commit” to all databases • If one (or more) databases answered ”cannot commit”, coordinator sends ”abort” to all databases. • Timeout: if one (or more) databases does not answer within a given amount of time, coordinator sends ”abort” ...
Distributed Databases
Distributed Databases

... Data stored close to where it is used  efficiency Local access optimization  better performance Only relevant data is available  security Unions across partitions  ease of query ...
Structured Query Language (SQL) - Triple Dash Infotech Pvt. Ltd.
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... short and easy to use with the objective of making names as long and descriptive as possible. When in doubt, choose the more descriptive name because many people may use the objects in the database over a period of time. Your counterpart ten years from now may have difficulty in understanding a data ...
Hierarchical data model - NUS School of Computing
Hierarchical data model - NUS School of Computing

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... What is Relational Database? • In the relational model, a database is a collection of relational tables. • A relational table is a flat file composed of a set of named columns and an arbitrary number of unnamed rows. • The columns of the tables contain information about the table. • The rows of the ...
Client/Server
Client/Server

... Labeled Tier 1 in the following graphic, this layer comprises the entire user experience. Not only does this layer provide a graphical interface so that users can interact with the application, input data, and view the results of requests, it also manages the manipulation and formatting of data once ...
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... MySQL is a particular version of a relational SQL-compatible database known for its efficiency. It is widely used and free for non-commercial applications. See http://www.mysql.com/ for details, in particular for downloading the free community edition. Other widely used SQL databases are Oracle, Mic ...
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... the database is already in production use and serving real users and applications, then experiments could be done on an offline test platform. These solutions are reasonable, but not sufficient because workloads may change and necessitate new experiments, or a test database platform may not exist. W ...
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... • To determine the number and type of columns in a table, use an SQL SELECT statement • To limit the number of rows retreived, use the SQL TOP {NumberOfRows} keyword: ...
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... the column headings and pressing the Tab key or the Enter key to move to the next column • In the first row below the field names, enter the value for each field in the first record, pressing the Tab key or the Enter key to move from field to field • After entering the value for the last field in th ...
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... that is the result row for the resource resource representing the most recent, or NULL if it the last result is reached. Its results in an array that contains the columns requested both by number and by column name: while($columns=mysqli_fetch_array($result)) { print 'name: '.$columns['name']; print ...
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... the column headings and pressing the Tab key or the Enter key to move to the next column • In the first row below the field names, enter the value for each field in the first record, pressing the Tab key or the Enter key to move from field to field • After entering the value for the last field in th ...
Assessment Plan for the CS  Degree Program FY 2009-2010
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... 80% 0% (CO431.2) Master programming techniques for console input and output. 88% 0% (CO431.3) Apply logical constructs for branching and loops. 72% 0% (CO431.7) Employ exception-handling programming techniques. 75% 0% (CO431.8) Utilize file input and output procedures for sequential and random acces ...
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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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