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Data Entities
Data Entities

... the nature of data placed therein, while the keys are expressed as codes An important design issue is the extent to which records should be consolidated. This issue is especially important in relational database normalizations and table designs ...
What is GIS
What is GIS

... catalogue the changes and updates made to each spatial data set and how each employee implemented them To provide information to other organizations and clearinghouses to facilitate data sharing and transfer - It makes sense to share existing data sets rather than producing new ones if they are alre ...
Accounting Information Systems: Essential Concepts
Accounting Information Systems: Essential Concepts

... the nature of data placed therein, while the keys are expressed as codes An important design issue is the extent to which records should be consolidated. This issue is especially important in relational database normalizations and table designs ...
Irwin/McGraw-Hill
Irwin/McGraw-Hill

... The database generally consists of many files and each file contains many records. Each event represents one record. Within each record there are many fields of data called data items, with each data item representing one attribute about the entity. A record layout details the record structure, incl ...
IMPROVING THE QUALITY OF THE DECISION MAKING BY USING
IMPROVING THE QUALITY OF THE DECISION MAKING BY USING

... The link between OLAP and data warehouses is that OLAP transforms the huge volume of data stocked and managed in the data warehouses in information useful for the decisional process. Applications that uses these technologies are based on rapid analyze of multidimensional data dispersed in multiple l ...
data extraction from medical records
data extraction from medical records

... want to share data in various ways but we also want to protect your confidential and personal information. Data about health can be used for various reasons, both internally within the practice, and externally with other services. In the last few years there have been a number of National schemes in ...
Clinical Data Model and FDA Submissions
Clinical Data Model and FDA Submissions

... there is usually an added complication that the physical platform and machine on which the CDBS resides is not the platform on which the statistical programming is done. Also, the collaborative research often brings the situation of obtaining raw data from different sources that are very often struc ...
TAIR Galveston 2008 - TAIR-Texas Association for
TAIR Galveston 2008 - TAIR-Texas Association for

... Most SQL tools will provide a way to export the data to other formats like Excel or .PDF ...
Hadoop MapReduce and Spark
Hadoop MapReduce and Spark

... commonplace and thus should be automatically handled in software by the framework. The core of Apache Hadoop consists of a storage part (Hadoop Distributed File System (HDFS)) and a processing part (MapReduce). ...
DWDM - Model Question Paper
DWDM - Model Question Paper

... Subject Oriented - The Data warehouse is subject oriented because it provides us the information around a subject rather the organization's ongoing operations. These subjects can be product, customers, suppliers, sales, revenue etc. The data warehouse does not focus on the ongoing operations rather ...
Using ORACLE tools to generate Multidimensional Model
Using ORACLE tools to generate Multidimensional Model

... ways to reach customers. The development of information technology has enabled the analysis of data for company profile. Clients of institutions that use BI tools also received new offers dedicated to their expectations. New technologies based on an analysis of data will save the time needed to comp ...
Corporate Information Analysis Technologies
Corporate Information Analysis Technologies

... A multidimensional database (MDB) is a type of database that is optimized for data warehouse and online analytical processing (OLAP) applications. Multidimensional databases are frequently created using input from existing relational databases. Whereas a relational database is typically accessed usi ...
Understanding Data-Structures in a Systems Analysis
Understanding Data-Structures in a Systems Analysis

... The heart of a system is its data, which is entered through a system’s input, and is subsequently stored in files or databases. Data is typically entered into a system through a set of inter-related data, termed as data-structure or record. The input data structures are processed and often broken in ...
EMC Data Domain Operating System
EMC Data Domain Operating System

... Data Domain systems integrate easily with existing infrastructures and can be used seamlessly with leading backup and archiving applications. Integrating a Data Domain system into your environment does not require any change in process or infrastructure, so you can realize the value of deduplication ...
X-ray End Station (XES) Controls
X-ray End Station (XES) Controls

... Generation, storage, retrieval and analysis of experimental data is the “product” of the LCLS. LSST, if funded, will produce ~30 TB of data per night. The AMOS experiment may eventually take data @120Hz from: 6 spectrometers @~15 KB. 5 CCDs @1 MB each That’s ~700 MB/second or 2.4 TB/hour or ~58 TB/2 ...
data models in gis - Dycker@control
data models in gis - Dycker@control

... set of ordered co-ordinates that represent the shape of geographic features too narrow to be displayed as an area at the given scale or linear features with no area ...
Lesson15 Data_Warehousing
Lesson15 Data_Warehousing

... All natural keys are replaced with surrogate keys (branch Id instead of branch #). Means that every join between fact and dimension tables is based on surrogate (intelligence) keys, not natural keys. ...
Introduction To Data Mining
Introduction To Data Mining

... • Credit Card example: 4 classes: authorize; request more info; do not authorize; contact police • Data is a set of credit card applications that contain Name, age, credit score, address, income, own or rent primary residence, etc. ...
Answering the Call of Virtualization for Databases
Answering the Call of Virtualization for Databases

... every insert, delete and update statement will only hit a single table. However, these small updates—consisting of the transfer of small blocks—require a very fast response making OLTP databases very latency sensitive. Data warehouses, on the other hand, tend to have fewer tables and are, therefore, ...
CHAPTER 4 Data Warehouse Architecture
CHAPTER 4 Data Warehouse Architecture

... tabs, tables charts and graphs current trend in information processing is to construct low-cost Web based accessing tools that are integrated with the web browsers. ...
Visible Advantage Data Warehouse Edition
Visible Advantage Data Warehouse Edition

... design is modeled at the logical data level and linked to the candidate data sources. Your selection of the optimal Operational Data Sources can then be made from the multiple potential sources. 4. Design the Data Warehouse: The logical Data Warehouse model can be implemented as a fully normalized s ...
Data Protection Policy
Data Protection Policy

... Only authorised and trained staff is allowed to make external disclosures of personal data. Data used within the Academy by administrative staff, teachers and welfare officers will only be made available where the person requesting the information is a professional legitimately working within the Ac ...
ETL - GeekInterview.com
ETL - GeekInterview.com

... Stage (load into staging tables, if used) Audit reports (for example, on compliance with business rules. Also, in case of failure, helps to diagnose/repair) Publish (to target tables) Archive ...
A Survey of Data Warehouse and OLAP Technology
A Survey of Data Warehouse and OLAP Technology

... access to information. The OLTP is an application procedure unit of work, called transactions. A single transaction might request a bank balance; another might update that balance to reflect a deposit. An application can be simulated to run in parallel on a tightly coupled multiprocessor so that it ...
Trillium Software Solution Guide: Data Quality
Trillium Software Solution Guide: Data Quality

... need today. It also lays the groundwork for easily extending and promoting high-quality data standards for the future through strategic reuse, rapid integration, and seamless connectivity. Forward-looking companies today understand that data integration and data quality are ongoing, critical issues ...
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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.
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