• 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
Intro to Information Systems
Intro to Information Systems

... other industries where their data are clearly their lifeblood.  For example, it has been estimated that any firm in the financial industry would have a life expectancy of less than 100 hours if they were placed in a position where they could not access their organizational data. Do you agree with t ...
The Use of Scripting Languages, Database Technology
The Use of Scripting Languages, Database Technology

... basis to protect the information after it has been entered. This is crucial in a world with viruses and other forms of data corruption. If the server fails, there is a backup copy of the data that may have taken many years and much money to collect. ...
Foundational Methodology for Data Science
Foundational Methodology for Data Science

... There are numerous rapidly evolving technologies for analyzing data and building models. In a remarkably short time, they have progressed from desktops to massively parallel warehouses with huge data volumes and in-database analytic functionality in relational databases and Apache Hadoop. Text analy ...
Extract Transform Load (ETL) Offload Reduce Growing Data
Extract Transform Load (ETL) Offload Reduce Growing Data

... NoSQL is based on the concept of distributed databases, where unstructured data may be stored across multiple processing channels and often across multiple servers. Unlike relational databases that are highly structured, NoSQL databases are unstructured, trading off stringent consistency requirement ...
A Future Scenario of interconnected EO Platforms
A Future Scenario of interconnected EO Platforms

... with a focus on encouraging commercial initiatives while making good use of existing capacities in the institutional domain where this is appropriate. ...
UNDERSTANDING ACXIOM`S MARKETING PRODUCTS
UNDERSTANDING ACXIOM`S MARKETING PRODUCTS

... understand where our data comes from, who uses our data, the choices you have about its use and what kind of data is in Acxiom’s marketing products. Acxiom’s full U.S. products privacy policy can be found on our website at www.acxiom.com/usproductsprivacypolicy. ...
Lecture 20 - The University of Texas at Dallas
Lecture 20 - The University of Texas at Dallas

... memory of another VM. Software such as IPSs and antriviruses, using introspection should be safe from tampering if the monitored VM is exploited. ...
ETL processing
ETL processing

... around 10-20 years and are typically mainframe based. Source data can also come from transactional processing systems which are primarily client/server systems (as opposed to mainframe) and were probably developed within the past decade. Source data can also come from external sources. Source data c ...
SRINIvas palle
SRINIvas palle

... Elan Pharmaceuticals, CA Informatica Developer ...
Data warehousing in telecom Industry
Data warehousing in telecom Industry

... of product and services of any organization. By this we can predict and place the particular item at profitable place .It with the help of data mining tools and techniques, Make us to understand the knowledge of customer and its requirements. Telecom industries have many departmental databases which ...
using openaccess sdk to expose erp data
using openaccess sdk to expose erp data

... OLE DB APIs, SQL parsing, distributed query processing, aggregation, and a client/ server protocol (if required). These components interact with the Interface Provider code that is implemented for a specific ERP system. The Interface Provider code implements the schema management, any required query ...
SQL Analysis Services-2005
SQL Analysis Services-2005

... cube can have many perspectives, each one presenting only a specific subset of the model (measures, dimensions, attributes, and so on) that is relevant to a particular group of users. Each perspective can then be associated with the user security roles that define the users who are permitted to see ...
The Data Warehouse
The Data Warehouse

... • Organisational decisions are consequences of intersections of problems looking for solutions, solutions looking for problems, and opportunities for making decisions • participants in the decision making process look for opportunities to apply tried and tested solutions to problems they are confron ...
SAS® Software and IBM® Corporation's DB2''- An End User Computing Strategy
SAS® Software and IBM® Corporation's DB2''- An End User Computing Strategy

... These services address many of the concerns of the data manager, and are representative of the sort of functions that end users should not have to worry about. The relational data structure itself tends to be intuitive. Most users are familiar with tables· of information. This does not mean that rel ...
Distributed Data Mining Implementing Data Mining Jobs on Grid
Distributed Data Mining Implementing Data Mining Jobs on Grid

... In this model, data are located in different sites which do not need to have any computational capability. The only requirement is to be able to move the data to a central location in order to merge them and then apply sequential DM algorithms. The output of the DM analysis, i.e. the final knowledge ...
On the implementation of TCP urgent data
On the implementation of TCP urgent data

... RFC 793 explains that the UP simply represents a mark in the data stream where urgent data ends. Generally (but not actually specified in the RFCs), applications would skip (discard) all those data before the urgent mark. But all data would be in-band… However, virtually all stacks implement urgent ...
FUNDAMENTALS OF GEOGRAPHIC INFORMATION SYSTEMS
FUNDAMENTALS OF GEOGRAPHIC INFORMATION SYSTEMS

... Too many points means possible data duplication and increase costs in terms of data storage ...
Metadata
Metadata

... Too many points means possible data duplication and increase costs in terms of data storage ...
Active Data Objects
Active Data Objects

... To reference “Nottingham” in our code we would do the following... AnAddress.Town = queryResults.Rows[3]["Town"].ToString(); ...
data mining - Iace.co.in
data mining - Iace.co.in

... 3. Real Time Transaction Processing System: Example: Air traffic control system; Missile defense system. Transaction Properties: These properties are called ACID. Atomicity: Transaction should either completely succeed or completely fail. For any reasons, if the system crashes before the completion ...
Chapter 12 - Marshall University Personal Web Pages
Chapter 12 - Marshall University Personal Web Pages

... • Walmart shares sales data with relevant suppliers – Stopped sharing data with information brokers – Custom builds large portions of its information systems to keep competitors off its trail – Other aspects of the firm’s technology remain ...
Chapter 11
Chapter 11

... • A database constructed for quick searching, retrieval, ad-hoc queries, and ease of use. • An ERP system could exist without having a data warehouse. The trend, however, is that organizations that are serious about competitive advantage deploy both. The recommended data architecture for an ERP impl ...
Report - University of Houston-Clear Lake
Report - University of Houston-Clear Lake

... some of these queries are almost unreadable within in the cube browser. Remember that the final result of this project is to provide strategic information that will be useful to management in making decisions that will affect the future health of the organization. These reports are not going to be p ...
07 - datawarehouses
07 - datawarehouses

... A data warehouse is organized around major subjects, such as customer, supplier, product, and sales Rather than concentrating on the day-to-day operations and transaction processing of an organization, a data warehouse focuses on the modeling and analysis of data for decision ...
Monitoring and diagnostics tools for Hadoop
Monitoring and diagnostics tools for Hadoop

... Other Diagnostic Tools and Challenges • Anomaly detection via log data • Need data across services • E.g. slow HBase reads caused by HDFS ...
< 1 ... 10 11 12 13 14 15 16 17 18 ... 41 >

Data Protection Act, 2012



The Data Protection Act, 2012 (The Act) is legislation enacted by the Parliament of the Republic of Ghana to protect the privacy and personal data of individuals. It regulates the process personal information is acquired, kept, used or disclosed by data controllers and data processors by requiring compliance with certain data protection principles. Non compliance with provisions of the Act may attract either civil liability, or criminal sanctions, or both, depending on the nature of the infraction. The Act also establishes a Data Protection Commission, which is mandated to ensure compliance with its provisions, as well as maintain the Data Protection Register.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report