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Managing Databases and Tables
Managing Databases and Tables

... code that makes up MySQL, is freely available to anyone. People all over the world can add to MySQL, fix bugs, make improvements, or suggest optimizations. It's grown so quickly because of the countless dedicated people who have contributed to the project in some way, as well as the dedication of th ...
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GIS Data and Services
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... Next Step: Implement OGC compatible Web Services for this problem. • Also build services to interact with QuakeTables Fault DB. ...
Some Fundamental Questions in Databases
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... • f* is an examination and re-indexing functor – organises the data into a key for storage and applies a query for interrogation of the database. – puts together a key by concatenation as in the relational model. ...
Assessment Plan for CS and CIS Degree Programs Computer Science Dept.
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... (CO470.4)Develop an application program to access databases with the Java programming language. Program Objective #3 (PO3): Students will develop solution-modeling skills. Assessment will be measured through testing the following course objectives: CSCI 359 Systems Analysis and Design (CO359.6) Unde ...
Module 2 Association Rules
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... Data computation cost is the cost of basic database operations Works in main memory, and hence uses the number of records Each data computation operation may involve several basic costs (unit costs for hashing, for adding the current record to the aggregate value, …) Data computation unit cost is tx ...
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Security

... • BUILTIN\Administrators is provided as the default login account for all Windows 2000 administrators. It has all rights on the SQL Server and in all databases. • System administrator (sa) is a special login account that has all rights on the SQL Server and in all databases. It is provided for backw ...
SLAMinDB: Centralized Graph Databases for Mobile Robotics
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... high speed SLAM solution to achieve low latency navigation. Concurrent smoothing and filtering work by [11] makes deeper assessment on how fast a large SLAM solution needs to be, and finds a robust, elegant analytical method to separate the low latency estimate from the large data fusion (or SLAM) p ...
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... products, they developed their own. their algorithm, item-toitem collaborative filtering, scales to massive data sets and produces high-quality recommendations in real time. Rather than matching the user to similar customers, item-toitem collaborative filtering matches each of the user’s purchased a ...
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Comparisons of Relational Databases with Big Data
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... NoSQL databases are cheap and open source and their implementation is easy and typically uses cheap servers to manage the exploding data and transaction while RDBMS databases are expensive and requires big servers and storage systems. So, the storing and processing data cost per gigabyte in the cas ...
Continuous Queries and Publish/Subscribe
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... Subtract old answers from new answers and return this new set of data. This is done because some past answers might be included in the ‘new’ data. ...
Logical Database Layouts - University of South Alabama
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... • The OFA standard is a set of configuration guidelines for fast, reliable Oracle databases that require little maintenance. • At the highest level, it is designed to logically separate objects by object type and activity type. • It is the structure you get if you create a default database ...
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... found with large datasets. The performance gain occurs from locking rows only at the time of commit rather than for the duration of the entire transaction. In a distributed scenario this means that every machine in the cluster can fully serve a transaction without coordinating with others. Only at t ...
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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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