Data Warehouse A place the information system department puts the data that is turned into information. Data must be properly prepared,organized,and presented.

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Presentation transcript:

Data Warehouse A place the information system department puts the data that is turned into information. Data must be properly prepared,organized,and presented to the user if it is to be optimally useful.

Definition of Data warehouse A subject-oriented,integrated,non volatile and time-variant collection of data in support of management decision. A single, complete and consistent store of data obtained from variety of sources and made available to end user in a way they can understand and use the business context.

Data Mart A Data Mart is a smaller version of a data warehouse typically contain data related to a single functional area of the firm or having limited scope in some other way. Data mart is based on a set of user requirement. Dependent data mart  Data warehouse Independent data mart  operational data

Who uses Data warehouse Ideal Data warehouse user

Who don’t need?? Data warehouse aren’t the universal solution to all the business information need Anyone use job involve dealing with individual data record. Anyone whose job include updating the organizational database, not just looking at what’s already in it. Anyone whose information need are unstructured that they don’t fit the data warehouse framework.

Justifying the data warehouse Build the business case for data warehouse (not a dollar or yen) It must state things like types of data to be included,kind of decision to be made with the aid of data. Compare decision made before and after implementing Data warehouse and how it benefit organization

Data warehouse architecture

Architecture cont.. The transaction or other operational database from which the data warehouse is populated The process to extract the data from database and transform it to internal format and structure of DWH The process to clean and load the data into the DWH A process to create the summaries of data which are expected quite often are stored in the DWH along with imported data.

Architecture cont.. The central information repository (meta data) to tell the user what’s in the DW,where it come from,in charge of it, query tools The DW database itself which contain the detail and summary data Query tools the end user interface for posing question to the database The user for whom the DW exists