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The Snowflake Schema
The Snowflake Schema

... The snowflake design typically has one physical lookup table per attribute, with each attribute identified by a unique key and having its own description column. Attributes are related to each other by including foreign key columns in attribute lookup tables, as region_id is stored in the Lookup_Mar ...
SQL Server Naming Standards
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... Views follow many of the same rules that apply to naming tables. There are only two differences (Rules 5a and 5b). If your view combines entities with a join condition or where clause, be sure to combine the names of the entities that are joined in the name of your view. This is discussed in more de ...
dataset Documentation
dataset Documentation

... The answer is that programmers are lazy, and thus they tend to prefer the easiest solution they find. And in Python, a database isn’t the simplest solution for storing a bunch of structured data. This is what dataset is going to change! dataset provides two key functions that make using SQL database ...
Evaluating and Comparing Oracle Database Appliance X6
Evaluating and Comparing Oracle Database Appliance X6

... The Oracle Database Appliance X6-2-HA is an Oracle Engineered System that saves time and money by simplifying deployment, maintenance, and support of high availability database solutions. Optimized for the world’s most popular database— Oracle Database—it integrates software, compute, storage, and n ...
Entity Framework
Entity Framework

... and retrieve objects. O/R mapping tool vendors claim 20-30% reduction in the code that needs to be written. Writing less code ...
Introduction to SQL
Introduction to SQL

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Data Resource - Wordpress@VIU
Data Resource - Wordpress@VIU

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ra-slides - St. Olaf College
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Database Vs Data Warehouse
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... information for decision making. The necessity to build a data warehouse arises from the necessity to improve the quality of information in the organization. The date proceeding from different sources, having a variety of forms – both structured and unstructured, are filtered according to business r ...
Chapter 19: Distributed Databases
Chapter 19: Distributed Databases

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Entity Sets
Entity Sets

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MCSA SQL 2016 Database Development
MCSA SQL 2016 Database Development

... This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables. Lessons  Understanding Joins  Querying with Inner Joins  Querying with Outer Joins  Q ...
Precipitation Data Analysis
Precipitation Data Analysis

... Abstract—Large amounts of data have created a need for more sophisticated data management software. The most common type of program to organize these large amounts of data is a database, which organizes data into a format that is easier for computers to register. Datasets from precipitation gauges i ...
CiC Paper Template
CiC Paper Template

... controls for demographic details, such as Gender and Age which would be used as part of the criteria for SQL queries. WHERE criteria are created by choosing the fields from the WHERE and CONDITION drop down controls and finally entering a value for that field in the VALUES textbox. Clicking the Add ...
NetPlus White Paper
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... providing business model-driven, object-oriented and event-driven database development. Designed from day one to meet the exacting requirements of the client/server architecture, they let the developers focus on business requirements by making everything as simple as possible. This is achieved by me ...
An Interactive Clinician-friendly Query Builder for Decision Support
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... controls for demographic details, such as Gender and Age which would be used as part of the criteria for SQL queries. WHERE criteria are created by choosing the fields from the WHERE and CONDITION drop down controls and finally entering a value for that field in the VALUES textbox. Clicking the Add ...
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Impacts of Data Mining on Relational Database Management
Impacts of Data Mining on Relational Database Management

... management system (RDBMS) which is the most cost effective and efficient [1] data integration platform which is able to cope with the increasing demands in associated business fields and can be upgraded with the technological advances through advancement of relational model. So this research has bee ...
VI-Attached Database Storage - Purdue University :: Computer
VI-Attached Database Storage - Purdue University :: Computer

... In this paper, we study the feasibility of leveraging VI–based communication to improve I/O performance and scalability for storage–centric applications and in particular database applications executing real–world online transaction processing loads. An important issue in database systems is the ov ...
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(L, T, P) = 2 (0, 0, 3) - Suresh Gyan Vihar University
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... capabilities help to ward off the threat from over-the-top (OTT) providers. At the same time, VoLTE can lower network costs. For example, it increases spectrum efficiency. It typically doubles capacity for voice calls, or increases data capacity by 50 to 100 percent. And managing both voice and data ...
Chapter 4: Semantic Data Control
Chapter 4: Semantic Data Control

... ∗ beneficial if the users move from a site to a site – All sites of the DDBMS identify and authenticate themselves similarly as users do ∗ intersite communication is protected by the use of the site password; ∗ (username, password) is authorized by application at the start of the session; ∗ no remot ...
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... Extender, IBM Informix's Spatial DataBlade, Oracle Locator, and Oracle Spatial. It allows the geodatabase to use the extended spatial types of a spatially enabled DBMS to store and manage feature geometry. ArcSDE works with IBM DB2, IBM Informix, Microsoft SQL Server, and Oracle. Oracle Spatial and ...
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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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