• Study Resource
  • Explore Categories
    • 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
Information Dissemination - Population Reference Bureau
Information Dissemination - Population Reference Bureau

... Population and Health InfoShare www.phishare.org ...
Access Vocabulary
Access Vocabulary

...  Preview – To produce a screen view of what a printed page will look like.  Primary Key – The field that uniquely identifies each record in a table.  Design View – The view in which you create or add field names, data types, and properties for the fields that make up the table.  Field Descriptio ...
IT Boxing Championship
IT Boxing Championship

...  The ADO.NET Entity Framework is part of Microsoft’s next generation of .NET technologies.  It is intended to make it easier and more effective for objectoriented applications to work with data. ...
procedure name - Siskiyou Central Credit Union
procedure name - Siskiyou Central Credit Union

... o They may not be used to send communications or material that defames or disparages an individual, Credit Union, or business. o They may not be used to conduct personal business. Solicitations, offers to buy and sell goods or services, and other personal messages to groups are not an appropriate us ...
Human Resources Operations Specialist
Human Resources Operations Specialist

... Provide expertise to support the development, design, implementation and administration of benefit programs, practices, and policies to meet the changing needs of the organization. Coordinate HRIS implementation and configurations to align vendor systems with HR processes. Ensure accuracy of bi-mont ...
Use of Data
Use of Data

...  Follow teacher guidelines and instructions on appropriate use of network resources  Using inappropriate language such as swearing or vulgarity, or ethnic or racial slurs, or obscene pictures is prohibited  Typing messages in all capital letters is the computer equivalent of shouting and is consi ...
Introducing Linked Data - UWaterloo Library
Introducing Linked Data - UWaterloo Library

... structured data so that it can be interlinked and become more useful. It builds upon standard Web technologies such as HTTP, RDF and URIs, but rather than using them to serve web pages for human readers, it extends them to share information in a way that can be read automatically by computers.” (emp ...
Computer Architecture in the 21st Century
Computer Architecture in the 21st Century

... architectural interface to the DRAM. • Can transfer more data at once because the wires are smaller, and have less capacitance ...
The Data Growth Problem
The Data Growth Problem

... therefore businesses will continue to spend more on storage if they employ their existing paradigms ...
Business Computing
Business Computing

... • Alternative Key:- A candidate key that is not the primary key is called an alternative key. For example, student_name is a alternative key in “student_rec” table. • Foreign Key:- A non key attribute, whose values are derived from the primary key of some other table, is known as Foreign Key in its ...
From data warehousing to data mining
From data warehousing to data mining

... process as possible, while still allowing users to guide the process. In this sense, data mining goes one step beyond traditional on-line analytical processing. Since OLAP systems can present general descriptions of data from data warehouses, OLAP functions are essentially for user-directed data sum ...
CountryData Technologies for Data Exchange SDMX Information Model:
CountryData Technologies for Data Exchange SDMX Information Model:

... Attributes can be attached at observation, series, group, or dataset level. The parsimony principle calls for attributes to be attached to the highest applicable level. In MDG/CountryData DSD, groups are not ...
Flat Files and Relational Databases Presentation
Flat Files and Relational Databases Presentation

... Fixed queries and the proliferation of application programs Each time a new query is needed, a new program has to be written. Difficult if the data needed to answer the query is in more than one file. ...
����������_�E�����[�h
����������_�E�����[�h

... • Virtual data warehouse for federating data through logical views. • Centralized repository for common metadata, application/business logic and connectivity, and data services. Changes to any of these centralized components are made in the data virtualization layer, eliminating the need to redepl ...
NYSE EURONEXT: Data Virtualization Redefines the Stock Exchange
NYSE EURONEXT: Data Virtualization Redefines the Stock Exchange

... • Virtual data warehouse for federating data through logical views. • Centralized repository for common metadata, application/business logic and connectivity, and data services. Changes to any of these centralized components are made in the data virtualization layer, eliminating the need to redepl ...
Appendix *J* - Credit Plus
Appendix *J* - Credit Plus

... Ensure that authorized personnel have a legitimate business need to access such information and understand the Access Security Requirement for doing so; and use information only for the permissible purposes listed in the Permissible Purpose Information section of your membership application. ...
Kirnan Real Estate Privacy Statement Kirnan Real Estate, Inc
Kirnan Real Estate Privacy Statement Kirnan Real Estate, Inc

... customers. You take your privacy seriously and as does Kirnan Real Estate, Inc. Our Online Privacy Statement describes how we collect, protect and use information about you during your visit to our web sites. Our web sites also contain hyperlinks to web sites operated by parties other than Kirnan Re ...
Topics for Today (10/13/99)
Topics for Today (10/13/99)

... Gigabytes to terabytes. ...
Data Warehouses and OLAP What are data warehousing
Data Warehouses and OLAP What are data warehousing

...  Stores data in a N-dimensional cube (hyper cube) using array-based storage structure  each cell is formed by the intersection of all the dimensions; not all cells have a value (eg, not every product is sold in every store)  Cubes are created before can be used and are static  Suited for small a ...
Provable data privacy
Provable data privacy

... problem associated with this setting is the following: given a finite source instance I, find a finite target instance J such that hI, Ji satisfies Σst and J satisfies Σt . Such a J is called a solution for I. Next, we specify the class of so-called universal solutions which have several ‘good’ prop ...
Database Management Systems Technologies for Computational
Database Management Systems Technologies for Computational

... systems (DBMS) such as Oracle or open source DBMS such as MySQL. The rapid increase in the number and size of these datasets results in a decrease in performance of typical comparative analysis tools, such as examining putative operons across microbial genomes. A recent benchmark of relational DBMS ...
Security Requirements
Security Requirements

... Access by unauthorized users Lack of physical control General lack of monitoring/auditing features Identification of dial in users Failure to backup critical data Sensitive to outside interference ...
Big Data Landscape –Apps, Infrastructure, Data
Big Data Landscape –Apps, Infrastructure, Data

... Very informative, content-rich course, covers the latest technologies, trends, and skills of data warehousing and data management, and data analysis. I would recommend to include this course in the required courses for the MS in CIS with concentration in Database Management and BI Program. Relevance ...
Database Fundamentals
Database Fundamentals

...  Systems needed each other’s data  Order data needed for bills  Qty data needed for orders … etc. Enter data  ...
Competencies (Page 1 of 2)
Competencies (Page 1 of 2)

... network, relational, multidimensional, and object-oriented Distinguish among individual, company, distributed, proprietary, and Web databases Recognize strategic database uses and security concerns Page 332 ...
< 1 ... 68 69 70 71 72 73 74 75 76 ... 121 >

Information privacy law

Information privacy or data protection laws prohibit the disclosure or misuse of information held on private individuals. Over 80 countries and independent territories have now adopted comprehensive data protection laws including nearly every country in Europe and many in Latin America and the Caribbean, Asia and Africa. The US is notable for not having adopted a comprehensive information privacy law but rather having adopted limited sectoral laws in some areas.These laws are based on Fair Information Practice, first developed in the United States in the 1970s by the Department for Health, Education and Welfare (HEW). The basic principles of data protection are: For all data collected there should be a stated purpose Information collected by an individual cannot be disclosed to other organizations or individuals unless specifically authorized by law or by consent of the individual Records kept on an individual should be accurate and up to date There should be mechanisms for individuals to review data about them, to ensure accuracy. This may include periodic reporting Data should be deleted when it is no longer needed for the stated purpose Transmission of personal information to locations where ""equivalent"" personal data protection cannot be assured is prohibited Some data is too sensitive to be collected, unless there are extreme circumstances (e.g., sexual orientation, religion)↑
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report