View stunning SlideShares in full-screen with the new iOS app!Introducing SlideShare for AndroidExplore all your favorite topics in the SlideShare appGet the SlideShare app to Save for Later — even offline
View stunning SlideShares in full-screen with the new Android app!View stunning SlideShares in full-screen with the new iOS app!
Data Modeling , is the process of creating a data model by applying a data model theory. A data model theory is a formal data model description.
When data modeling, we are structuring and organizing data. These data structures are then typically implemented in a database management system. ____________________________________________________________________________________
There are 3 Parts ;
The structural part: a collection of data structures which are used to create databases representing the entities or objects modeled by the database.
The integrity part: a collection of rules governing the constraints placed on these data structures to ensure structural integrity.
The manipulation part: a collection of operators which can be applied to the data structures, to update and query the data contained in the database.
(DW) is the main repository of an organization's historical data, its corporate memory. It contains the raw material for management's decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems. _________________________________________________________________________
Extract , Transform, and Load ( ETL) is a process in data warehousing that involves
Extracting data from outside sources, transforming it to fit business needs (which can include quality levels), and ultimately
Loading it into the end target, i.e. the data warehouse.
ETL is important, as it is the way data actually gets loaded into the warehouse.
There are many advantages to using a data warehouse , some of them are:
1- Acquiring Different forms of Data from large variety of sources . i.e. Sensors, observations, diagrams, statistical info. Etc. 2- Processing the Acquired data for, required and relevant needs, then this data will be sorted in groups according to the relevancy of the issue at hand. 3- The relevantly grouped & processed data, will be further analyzed by, a (DBA) for a specific use or to store in a (DW) , Data analysts and in regards to scientific experimentation, by scientists.
- Data mining has been cited as the method by which the U.S. Army unit Able Danger supposedly had identified the September 11, 2001 attacks leader, Mohamed Atta, and three other 9/11 hijackers as possible members of an al Qaeda cell operating in the U.S. more than a year before the attack
- It has been suggested that both the Central Intelligence Agency and their Canadian counterparts, Canadian Security Intelligence Service, have put this method of interpreting data to work for them as well
Data Security is the means of ensuring that data is kept safe from corruption and that access to it is suitably controlled. Thus data security helps to ensure privacy. It also helps in protecting personal data.
This is done by following the Data protection Act (DPA).
Data Architecture : is the design of data for use in defining the target state and the subsequent planning needed to hit the target state. Data Architecture is one of the pillars of Enterprise Architecture and handshakes with its peer pillars of Business Architecture, Application Architecture and Integration Architecture.