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Topic # 1 Data Warehousing Fundamentals

Session #   Date and Time           Area of Focus                               Session Topics

   1            Day 1                                        DATA WAREHOUSE OVERVIEW
              Duration
               5 Hours
                                                                    a.   Overview
                                                                    b.   Typical uses

                                                             DEFINITION, ARCHITECTURE AND CONCEPTS

                                                                    c.   Enterprise Data Model
                                                                    d.   Operational vs. historical data
                                                                    e.   Extract Transform Load (ETL)
                                                                    f.   Metadata
                                                                    g.   Data warehouse vs. data mart
                                                                    h.   Data mining
                                                                    i.   OLAP vs. OLTP
                                                                    j.   Massive size implementation
                                                                    k.   Logical design vs. physical design
                                                                    l.   Normalization vs. denormalization
                            Understanding fundamentals of
                                  Data warehousing                  m. Referential constraints

                                                             DATA MODELLING OPTIONS

                                                                    n.   Entity model
                                                                    o.   Star schema
                                                                    p.   Snowflake schema

                                                             DATA MODELLING DEVELOPMENT LIFE CYCLE

                                                                    q.   Requirements analysis
                                                                    r.   Requirements gathering
                                                                    s.   Schema design
                                                                    t.   Warehouse design
                                                                    u.   Implementation


                                                                    v.   Follow-up and review
   2           Day 1                                           1    Developing understanding about Data
              3 Hours               Self Learning
                                                                    warehouse fundamentals and latest
                                Developing candidates               techniques.
                            understanding by reading case
                              studies and exploring latest     1)   Exploring current trends and techniques.
                              treads in current scenario.

                                                               2)   Reading case studies(Visiting Forums/Case
                                                                    studies).




                Learn Hyperion/OBIEE by Amit Sharma mail to aloo_a2@yahoo.com
3       Day 2                                     1. Quiz to identify the how far candidates are
    Duration 1 Hour      Quiz # 1 & Discussion
                                                  comfortable with Data warehousing
                          Data Warehousing
                         Fundamentals Quiz.       fundamentals understanding - I.



4       Day2                                      DIMENSIONAL MODELLING DESIGN
       Duration
       4 Hours
                                                       w. Overview
                                                       x.    Metadata properties
                                                       y.    Star schema
                                                       z.    Snowflake schema
                                                       aa. Cubes
                                                       bb. Measures and facts
                                                       cc. Attributes and relationships
                                                       dd. Dimension
                                                       ee. Hierarchies
                                                       ff.   Joins
                                                       gg. Summary tables and aggregation
                                                       hh. Exercises


                                                  IMPLEMENTATION OPTIONS

                                                       ii.   Overview
                                                       jj.   Top down
                                                       kk. Bottom up
                                                       ll.   Sizing
                                                       mm.       Cleaning
                                                       nn. Populating the data warehouse


                                                  EXTRACT, TRANSFORM & LAOD (ETL)
                                                  CONSIDERATIONS

                                                       oo. Definition and scope
                                                       pp. Extract options
                                                       qq. Transform options
                                                       rr. Load options
                                                       ss. Surrogate key concepts


                                                       tt. Slowly Changing Dimensions (SCD)
5        Day 2                                    Developing DHW designing constraints.
     Self Learning
       2 Hours        Understanding advance DWH
                              Concepts            3)   Understanding DWH Design constrains and
                                                       techniques.


                                                  4)   Reading case studies (Visiting Forums/Case
                                                       studies).




         Learn Hyperion/OBIEE by Amit Sharma mail to aloo_a2@yahoo.com
6   Day 2        Session ending Quiz # 2   1. Quiz to identify the how good candidate is
    1 hour             & Discussion
                                           Data warehousing Design constraints and
                                           DWH understanding - II




     Learn Hyperion/OBIEE by Amit Sharma mail to aloo_a2@yahoo.com

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DHW Fundamentals

  • 1. Topic # 1 Data Warehousing Fundamentals Session # Date and Time Area of Focus Session Topics 1 Day 1 DATA WAREHOUSE OVERVIEW Duration 5 Hours a. Overview b. Typical uses DEFINITION, ARCHITECTURE AND CONCEPTS c. Enterprise Data Model d. Operational vs. historical data e. Extract Transform Load (ETL) f. Metadata g. Data warehouse vs. data mart h. Data mining i. OLAP vs. OLTP j. Massive size implementation k. Logical design vs. physical design l. Normalization vs. denormalization Understanding fundamentals of Data warehousing m. Referential constraints DATA MODELLING OPTIONS n. Entity model o. Star schema p. Snowflake schema DATA MODELLING DEVELOPMENT LIFE CYCLE q. Requirements analysis r. Requirements gathering s. Schema design t. Warehouse design u. Implementation v. Follow-up and review 2 Day 1 1 Developing understanding about Data 3 Hours Self Learning warehouse fundamentals and latest Developing candidates techniques. understanding by reading case studies and exploring latest 1) Exploring current trends and techniques. treads in current scenario. 2) Reading case studies(Visiting Forums/Case studies). Learn Hyperion/OBIEE by Amit Sharma mail to aloo_a2@yahoo.com
  • 2. 3 Day 2 1. Quiz to identify the how far candidates are Duration 1 Hour Quiz # 1 & Discussion comfortable with Data warehousing Data Warehousing Fundamentals Quiz. fundamentals understanding - I. 4 Day2 DIMENSIONAL MODELLING DESIGN Duration 4 Hours w. Overview x. Metadata properties y. Star schema z. Snowflake schema aa. Cubes bb. Measures and facts cc. Attributes and relationships dd. Dimension ee. Hierarchies ff. Joins gg. Summary tables and aggregation hh. Exercises IMPLEMENTATION OPTIONS ii. Overview jj. Top down kk. Bottom up ll. Sizing mm. Cleaning nn. Populating the data warehouse EXTRACT, TRANSFORM & LAOD (ETL) CONSIDERATIONS oo. Definition and scope pp. Extract options qq. Transform options rr. Load options ss. Surrogate key concepts tt. Slowly Changing Dimensions (SCD) 5 Day 2 Developing DHW designing constraints. Self Learning 2 Hours Understanding advance DWH Concepts 3) Understanding DWH Design constrains and techniques. 4) Reading case studies (Visiting Forums/Case studies). Learn Hyperion/OBIEE by Amit Sharma mail to aloo_a2@yahoo.com
  • 3. 6 Day 2 Session ending Quiz # 2 1. Quiz to identify the how good candidate is 1 hour & Discussion Data warehousing Design constraints and DWH understanding - II Learn Hyperion/OBIEE by Amit Sharma mail to aloo_a2@yahoo.com