Data Warehouse Training Institute In Chennai Adyar - Greens Tech

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DATA WAREHOUSE TRAINING COURSE CONTENTDimensional modeling is the proven technique for designing comprehensive, high-per...

  • Category: Language Classes
  • Published: 04/09/2014
  • Current Rating: /5 0 Vote



    Dimensional modeling is the proven technique for designing comprehensive, high-performance Business Intelligence/Data Warehouse (BI/DW) systems. Agile dimensional modeling is dimensional modeling done iteratively, incrementally and collaboratively.

    This course provides in depth coverage of agile dimensional modeling techniques for improving communication between BI/DW teams and business stakeholders as well as responding to changing DW requirements. Specifically the course covers BEAM*, the powerful, yet simple method for ModelStorming directly with BI stakeholders described in the book Agile Data Warehouse Design: collaborative dimensional modeling, from whiteboard to star schema


    In this agile data warehouse training, you will learn to:

      • Model data requirements directly with stakeholders

      • Translate common cross-industry data analysis requirements into efficient, flexible dimensional models

      • Maximize the usability and performance of your data warehouse or data mart designs

      • Plan, design and incrementally develop agile data warehouse solutions


    This course is for anyone interested in learning the latest agile techniques for designing and managing dimensional data warehouses and ETL processes. Beginner, intermediate and experienced data warehouse practitioners, data architects, DBA’s and ETL designers & developers will all benefit from this course.

    Agile Data Warehousing

    • What the Agile manifesto means for business intelligence/data warehousing

    • The challenge of proactive data warehouse development: the need for agile data modeling techniques

    • Becoming agile: supporting iterative and incremental data warehouse development

    Dimensional Modeling Fundamentals

    • Data warehousing requirements, challenges and opportunities

    • Modeling for measurement: the case for dimensional modeling

    • Star schema, snowflake schema, facts and dimensions

    • Modeling with BI stakeholders: the case for Agile dimensional modeling

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