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Introduction to datawarehouse and online training materials overview
 

Introduction to datawarehouse and online training materials overview

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DATA WAREHOUSING TECHNOLOGIES , ETL Tools Informatica Ab Intio DataStage 8 IBM Infosphere

DATA WAREHOUSING TECHNOLOGIES , ETL Tools Informatica Ab Intio DataStage 8 IBM Infosphere

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    Introduction to datawarehouse and online training materials overview Introduction to datawarehouse and online training materials overview Presentation Transcript

    • www.newyorksys.com Data Warehouse…..An Overview By Newyorksys By
    • Contents  Introduction to Data Warehouse  Features of a Data Warehouse  OLTP vs. OLAP (Transactional vs. Analytical)  Introduction to Dimensional Modeling ◦Fact Tables ◦Dimension Tables ◦Star Schema ◦Snow Flake Schema www.newyorksys.com
    • What is a Data Warehouse ? Collection of diverse data subject oriented aimed at executive, decision maker often a copy of operational data with value-added data (e.g., summaries, history) integrated time-varying non-volatile www.newyorksys.com
    • Data Warehouse – Subject Oriented Organized around major subjects, such as customer, product, sales. Focusing on the modeling and analysis of data for decision makers, not on daily operations or transaction processing www.newyorksys.com
    • Data Warehouse-Integrated Constructed by integrating multiple, heterogeneous data sources relational databases, flat files, on-line transaction records Data cleaning and data integration techniques are applied. Ensure consistency in naming conventions, encoding structures, attribute measures, etc. among different data sources E.g., Hotel price: currency, tax, breakfast covered, etc. www.newyorksys.com
    • Data Warehouse – Non- Volatile  A physically separate store of data transformed from the operational environment.  Operational update of data does not occur in the data warehouse environment. ◦ Requires only two operations in data accessing:  initial loading of data and access of data. www.newyorksys.com
    • Data Warehouse - Time Variant The time horizon for the data warehouse is significantly longer than that of operational systems. ◦ Operational database: current value data. ◦ Data warehouse data: provide information from a historical perspective (e.g., past 5-10 years) Every key structure in the data warehouse ◦ Contains an element of time, explicitly or implicitly ◦ But the key of operational data may or may not contain “time element”. www.newyorksys.com
    • Advantages of Data Warehouse  High query performance  Queries not visible outside warehouse  Local processing at sources unaffected  Can operate when sources unavailable  Can query data not stored in a DBMS  Extra information at warehouse ◦ Modify, summarize (store aggregates) ◦ Add historical information www.newyorksys.com
    • CONTACT US NewyorkSys is one of the leading Training Company in US. We have certified trainers. We provide Online Training, Fast Track online training, with job assistance. For more details Visit : http://www.newyorksys.com/learner- registration/ USA: +1-718-313-0499 , 718-305-1757 Email : enquiry@newyorksys.us www.newyorksys.com