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data warehousing overviewGood decisions by effectively managing data,[object Object],Presented to : Eng. ShahinazAzab,[object Object],	Presented by : Ahmed Gamal Mohammed ,[object Object],SWE2 – ITInc .,[object Object],Intake 30 ,[object Object],2009/2010,[object Object]
Outline,[object Object],Forethought,[object Object],What is Data Warehousing ? ,[object Object],Architecture of Data Warehousing ,[object Object],Data warehousing methodologies,[object Object],Advantages of using Data Warehousing,[object Object],Disadvantages of using Data Warehousing,[object Object],Conclusion ,[object Object],2,[object Object]
		Forethought,[object Object],“Today every company is an information company but not all are prepared to deal with it.“,[object Object],Mark Lahr – 3M Corp,[object Object],"The CEO will always get good data, but the challenge is making it available to the masses. That’s the challenge, how do you democratize decision-making?" ,[object Object],Eric Berg, chief administrative officer and former CIO-Goodyear.,[object Object],3,[object Object]
What is date warehouse ?,[object Object],“collection of data that is used primarily in organizational decision making.”,[object Object],-- W.H. Inmon, credited with initially using the term Data Warehouse, 1992,[object Object],4,[object Object]
Also means `,[object Object],A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process.,[object Object],It is :- ,[object Object],Subject-Oriented.,[object Object],Integrated.,[object Object],Time-Variant.,[object Object],Non-volatile.,[object Object],5,[object Object]
	Architecture of Data Warehousing ,[object Object],Operational database layer,[object Object],The source data for the data warehouse ,[object Object],Data access layer,[object Object],The interface between the operational and informational access layer,[object Object],Metadata layer,[object Object],The data directory - This is usually more detailed than an operational system data directory. ,[object Object],Informational access layer,[object Object],The data accessed for reporting and analyzing and the tools for reporting and analyzing data ,[object Object],6,[object Object]
Typical DW Architecture,[object Object],Data Store,[object Object],Data Access,[object Object],Data Sources,[object Object],ETL,[object Object],Presentation,[object Object],Dashboards,[object Object],The Data ,[object Object],Warehouse,[object Object],System A,[object Object],Prompted Views,[object Object],System B,[object Object],Scorecards,[object Object],System C,[object Object],Extract,[object Object],Transform,[object Object],Load,[object Object],Business Model,[object Object],Ad-Hoc Reporting,[object Object],System D,[object Object],Self Serve,[object Object],7,[object Object]
	Data warehousing methodologies,[object Object],Bottom-up design,[object Object],Ralph Kimball, a well-known author on data warehousing, is a proponent of an approach to data warehouse design,[object Object],In this approach,[object Object],data marts are first created to provide reporting and analytical capabilities for specific business processes.,[object Object],Top-down design,[object Object],Bill Inmon, is one of the leading proponents of the top-down approach to data warehouse design.,[object Object],In this approach ,[object Object], data warehouse is designed using a normalized enterprise data model. "Atomic" data, that is, data at the lowest level of detail, are stored in the data warehouse.,[object Object],8,[object Object]
Advantagesof using Data warehousing,[object Object],Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis.,[object Object],Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems.,[object Object],9,[object Object]
Disadvantages	of using data warehousing ,[object Object],Data warehouses are not the optimal environment for unstructured data.,[object Object],Because data must be extracted, transformed and loaded into the warehouse, there is an element of latency in data warehouse data.,[object Object],10,[object Object]
Conclusion ,[object Object],11,[object Object],Implementing a Data Warehouse is not a project, but a long term commitment to implement continuously improving business intelligence practices…,[object Object]
12,[object Object],Thank you for your listening ,[object Object],At the end,[object Object]

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