DATA WAREHOUSING ARCHITECTURE
DATA WAREHOUSING ARCHITECTUREHeterogeneous TransactionaldatabasesCleanse, Integrate and Transform the incoming dataStaging Area
DATA WAREHOUSING ARCHITECTUREBusiness IntelligenceEnginesDecision Makers
DATA WAREHOUSING APPROACHES
APPROACH #1Cleanse, Integrate and Transform the incoming dataStaging Area
DATA WAREHOUSE
DATA WAREHOUSE Subject Oriented Integrated Non Volatile Time Variant Consistent
CHARACTERISTIC OF DWH Subject OrientedData that gives information about a particular subject instead of about a company's ongoing operations should be stored in Data Warehouse i.e., information is presented according to specific subjects or areas of interest, not simply as computer files. Data is manipulated to provide information about a particular subject.
IntegratedData when loaded into Data Warehouse from heterogeneous sources it should be in unique format i.e., integrated.
CHARACTERISTIC OF DWH cont.Non VolatileData is stable in a data warehouse i.e., stable information that doesnt change each time an operational process is executed. Information is consistent regardless of when the warehouse is accessed. Once data is loaded into the Data Warehouse that data is never removed. This enables management to gain a consistent picture of the business. Time VariantIt is mandatory that all data in the data warehouse should be identified with a particular time period. Containing a history of the subject, as well as current information. Historical information is an important component of a data warehouse. ConsistentData should be consistent in Data Warehouse whenever in future it is updated.
DATA WAREHOUSE - ARCHITECTUREHeterogeneous TransactionaldatabasesCleanse, Integrate and Transform the incoming dataStaging Area
APPROACH #2
DATA MART Data Mart is a subset of a Warehouse Data Mart contains Departmental Corporate Data where as the Warehouse holds Enterprise Level data Summation of ALL Data Marts need NOT necessarily be a Warehouse Marts enhance Reporting Performance when looking at part of the corporate data
DATA WAREHOUSE v/s DATA MART Subject Oriented Integrated Non Volatile Time Variant Consistent Department OrientedWAREHOUSEDATA
MART
APPROACH #2
APPROACH #3Staging AreaNO Warehouse !!!
APPROACH #3Suitable for Entry Level BI
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