• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
MS SQL Server backup Datasheet
MS SQL Server backup Datasheet

Document
Document

... while joining attribute for spatial join is spatial and can be of different type such as point and polygon. Filter-refine process: two step process, first is to approximate the solution to query (by using methods such as minimum boundary rectangles, easy to compute intersection between two rectangle ...
Database Fundamentals
Database Fundamentals

... Identify costs and risks of databases List components of database environment Identify categories of database applications Describe database system development life cycle Explain prototyping and agile development approaches Explain roles of individuals Explain the three-schema architecture for datab ...
Star Schema Optimization - CSCI 6442
Star Schema Optimization - CSCI 6442

... Sybase learned the optimization and developed their own product. The Sybase product was a stand-alone software data warehouse product ...
PowerPoint Presentation - Title slide
PowerPoint Presentation - Title slide

... system of programs that can manipulate data in a large collection of files cross referencing as needed A file manager is sufficient for mailing lists and other common data management applications For large, complex jobs a DBMS is needed With a DBMS there is no need to store redundant information in ...
Review for Final Exam
Review for Final Exam

... --depends on group by [order by ] ; includes aggregates: avg, min, max, sum, count can have derived relation --subquery assigned name with as select <> from <> where<> as r1 where attribute comparison: <,>,<=, <>, =, etc. attribu ...
Data Warehouses and OLAP What are data warehousing
Data Warehouses and OLAP What are data warehousing

... On-Line Analytical Processing (OLAP) OLAP tools provide an environment for decision making and business modeling activities by supporting ad hoc queries  provide a multidimensional conceptual view of the data usually star schema in which a single fact table relates to each dimensional table, or  ...
PPT
PPT

... NoSQL databases” (Abramova & Bernardino, 2013-07). YCSB has a client that consists of two parts: ...
2. Data (horizontal) - NDSU Computer Science
2. Data (horizontal) - NDSU Computer Science

... Proper Structuring of data may be the second most important task in data and database system work today! At the highest level, is the decision as to whether a data set should be structured as horizontal or vertical data (or some combination). Another important task to be addressed in data systems wo ...
PPT - eIFL
PPT - eIFL

... CMS ...
4 rel model
4 rel model

... • Conceptual model: In databases, structures are at a higher level. – Operations on data (Modifications and Queries) • Limited Operations: Ease of programmers and efficiency of database. – Constraints on data (what the data can be) ...
database administrator
database administrator

... • the DBA must understand – relational design practices. – relational theory and the specific implementation of the relational database management system (RDBMS) – conceptual and logical data modeling techniques. The ability to create and interpret entity-relationship diagrams is essential to design ...
Introduction to Databases
Introduction to Databases

... Any superset of a candidate Key is a super key. An attribute, or group of attributes, that is sufficient to distinguish every tuple in the relation from every other one. For example, a Customer Id,Customer Name (together) can uniquely distinguish each tuple of the relation from the other ones. Thus ...
Developing Data-Driven Applications Using JDBC and Java Servlet/JSP Technologies
Developing Data-Driven Applications Using JDBC and Java Servlet/JSP Technologies

... If you are interested in building Web applications for data entry or editing, you will also want to take a look at the DataBeanForm component. This component is also new to Version 3 and allows the end user to view and edit data from a JDBC data source as well. Unlike the TableView component which p ...
Chapter 6: Logical database design and the relational model
Chapter 6: Logical database design and the relational model

... • Add, delete, modify, and retrieve using SQL  Data ...
Database Development Concepts
Database Development Concepts

... with access will apply to other RDBMS systems…  …but the techniques may be different  What we will do with Access will be very migratable to other RDBMSs ...
NoSQL
NoSQL

... The term has taken on different meanings ...
bipin-mobile-presentation
bipin-mobile-presentation

...  Synchronization of data from multiple sensors ...
Performance Tuning SQL Server
Performance Tuning SQL Server

... Start with busiest database, and largest tables Every table, in every database, should have a clustered index on the PK • Allows the data to be stored, physically, in order ...
Geodatabases
Geodatabases

... Shekhar, Shashi and Chawla, Sanjay. Spatial Databases A Tour. Prentice Hall, 2003 Shekhar, Shashi and Chawla, Sanjay. “Chapter 2: Spatial Concepts and Data Models.” Slides for Spatial Databases: A Tour. Nov. 27, 2009 . Güting, Ralf Hartmut. “An Introduction ...
PowerPoint - People at SurfaceEffect
PowerPoint - People at SurfaceEffect

... extract data from the DB or insert data into the DB. For a website to use a database it needs a database client which it can use to extract data from the database, and use it to generate web pages. This is built into PHP, which will be covered in the last session. dbwebsites 2.3 ...
Introduction to Oracle - UWEC Computer Science Department
Introduction to Oracle - UWEC Computer Science Department

... Systems Analysis & Design ...
Notes
Notes

... RFID: Possible to track every single piece of product throughout its life (Gillette boycott) ...
Data Exploration
Data Exploration

... Boxplot (a) suggests that the data values follow a normal distribution. Boxplot (b) shows a positively skewed distribution with a higher concentration of data values near the high end. The x’s in (b) may represent outliers, which are more than 1.5 box lengths from the end of the box. Boxplot (c) sho ...
Intelligent Querying Techniques for Sensor Data Fusion
Intelligent Querying Techniques for Sensor Data Fusion

... Easy to learn as syntax is similar to SQL Allows user to specify queries for both Multimedia data sources and Multimedia databases Supports multiple sensor sources and systematic modification of queries ...
< 1 ... 365 366 367 368 369 370 371 372 373 ... 492 >

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.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report