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Document
Document

... Seacoos netcdf convention (format, data dictionary of variable and attribute standard names) applied to provider in-situ and model data, screen-scraped data from outside sources. (30 Gigabytes since September 2004) Raster images(.png’s) copied to fileserver with timestamp and projection info collece ...
Databases
Databases

... What is a Database • a database is a collection of records stored in a computer in a systematic way, so that you to find useful information. • Collection of all the data related to a particular topic or purpose -- for example, student data, customer data or product data. • Most common type of datab ...
Data manipulation intro 1
Data manipulation intro 1

... A query is used to extract specific information from a database. Like a question that gives you the correct answers ...
Report - CSE Buffalo
Report - CSE Buffalo

... classifiers that are trained using supervised learning. We use two such classifiers, one that would rate a table’s relational quality while the other would detect the presence of the attribute labels that are used as metadata. The relational filter is set for high recall and lower precision. The per ...
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File

... ...
Sylabus-CEng553-2010-2.prog
Sylabus-CEng553-2010-2.prog

... 3) Class Days and Time and Classroom: Thursday 18:00 – 21:00, BMB-4 4) Instructor: Prof. Dr. Adnan YAZICI Phone: 210 5583 office: A-306 e-mail: yazici@ceng.metu.edu.tr 5) TA: will be announced later 6) Necessary Background: Data management and File Structures 7) Text Book and Referans books:  Datab ...
Database Management Systems - University of Hawaii at Hilo
Database Management Systems - University of Hawaii at Hilo

... Data consistency Integration of data Sharing of data Enforcement of standards Ease of application development Uniform security, privacy, and integrity Data independence ...
Application Software Practical 1
Application Software Practical 1

... Relational Database Management System (RDBMS) – software that uses related data stored in different tables Table is made up of rows (records) and columns (fields) ...
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Course flyer

... ...
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... composite key, entity, attribute, data mining, data warehousing, data, information, primary Key, foreign Key, unique Key, concatenated Key ...
Download
Download

... Unit I Introduction – purpose of database systems – Data Abstraction – Data models – Instances and schemes – Data independence – DDL – DML – Database users – ER model – Entity sets – Keys – ER diagram – relational model – Structure – Relations Algebra – Relational Calculus – Views. Unit II SQL – QBE ...
What we`ve learnt
What we`ve learnt

... • Tell you about things (entities) • Entities have characteristics (attributes) such as names, addresses, ages • Attributes are represented by fields in the table • Fields have data type - e.g number, dates. • Access 97 provides default types, sizes you can change them. ...
COMI-1260 – Programming in Fourth Generation Languages
COMI-1260 – Programming in Fourth Generation Languages

... This course covers the fundamentals of SQL and relational databases, using MySQL as a teaching tool. This course is designed for new or existing users of SQL who have little or no previous experience with a relational database management system. Topics to be explored include: Fundamentals of relatio ...
EF – One of Microsoft’sORMs - HAAGA
EF – One of Microsoft’sORMs - HAAGA

... Member will have Ideas collection, Idea will get Members collection and it is enough to add to one of these, the EF maintains the other automatically. The EF context must know both objects = they must be fetched from same context object or the new created object must be attached to the same EF data ...
Create Database - Open Online Courses
Create Database - Open Online Courses

... ...
What`s the Shape of Databases to Come?
What`s the Shape of Databases to Come?

... MDM: tables as backend stores for product data (for example) with a rich & extensible data model SaaS: tables as backend stores for multi-tenant data sets with tenant-extensible schemas ...
Diapositive 1
Diapositive 1

... • Table, a set of columns that contain data. In the old days, a table was called a file. • Row, a set of columns from a table reflecting a record. • Index, an object that allows for fast retrieval of table rows. Every primary key and foreign key should have an index for retrieval speed. • Primary ke ...
Database Alternatives
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... closer to object-oriented programming – Each document is effectively an object ...
Course Name
Course Name

... Description The value stored at the intersection of each row and column must be a scalar value, and a table must not contain any repeating columns. Every non-key column must depend on the entire primary key. Every non-key column must depend only on the primary key. ...
Database Objects
Database Objects

... Basic Elements of a Database ...
Physical pointers
Physical pointers

... – Data independence (logical pointers). • Logical and physical design separate. • Add new fields - don’t need to reestablish pointers. • Can change gracefully as organizations evolve. Rest of design not changed when you change or delete 1 table ...
Database Management System
Database Management System

... Fields and Records • Fields are like columns in a spreadsheet • Records are like rows in a spreadsheet ...
databases_mis
databases_mis

... 1. Query-by-example (QBE) tool that helps users graphically design the answer to a question against a database. 2. Structured query language (SQL) that asks users to write lines of code to answer questions against a database. ...
Lecture 7
Lecture 7

... A DBMS is a system software component that manages and controls access to the database ...
Chapter One (Introduction) Objectives
Chapter One (Introduction) Objectives

... No two tuples are the same No two attributes are the same The order of tuples are immaterial The order of attributes are immaterial There is an attribute or a collection of attributes which identifies tuples uniquely called Primary Key Value of attribute must be atomic ...
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Entity–attribute–value model

Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In mathematics, this model is known as a sparse matrix. EAV is also known as object–attribute–value model, vertical database model and open schema.
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