dwh_tutorial

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IT Strategy ............................................................................................................................................... 14 Business Case .......................................................................................................................................... 14 Education and Prototyping ..................................................................................................................... 14 Business Requirements ........................................................................................................................... 14 Technical Blueprint ................................................................................................................................. 15 Building the Version ................................................................................................................................ 15 History Load ............................................................................................................................................ 15 Ad hoc Query .......................................................................................................................................... 16 Automation ............................................................................................................................................ 16 Extending Scope ...................................................................................................................................... 16 Requirements Evolution ......................................................................................................................... 16 5. SYSTEM PROCESSES ............................................................................................................. 18 Process Flow in Data Warehouse ............................................................................................................ 18 Extract and Load Process ........................................................................................................................ 18 Clean and Transform Process .................................................................................................................. 19 Backup and Archive the Data .................................................................................................................. 20 Query Management Process ................................................................................................................... 20 6. ARCHITECTURE .................................................................................................................... 21 Business Analysis Framework ................................................................................................................. 21 Three-Tier Data Warehouse Architecture ............................................................................................... 21 Data Warehouse Models ........................................................................................................................ 22 Load Manager ......................................................................................................................................... 24 Warehouse Manager .............................................................................................................................. 25 Query Manager ....................................................................................................................................... 26 Detailed Information .............................................................................................................................. 27 Summary Information ............................................................................................................................. 28 iii
7. OLAP ................................................................................................................................... 29 Types of OLAP Servers ............................................................................................................................ 29 Relational OLAP ...................................................................................................................................... 29 Multidimensional OLAP .......................................................................................................................... 29 Hybrid OLAP ............................................................................................................................................ 29 Specialized SQL Servers ........................................................................................................................... 30 OLAP Operations ..................................................................................................................................... 30 OLAP vs OLTP .......................................................................................................................................... 35 8. RELATIONAL OLAP ............................................................................................................... 37 Relational OLAP Architecture .................................................................................................................. 37 9. MULTIDIMENSIONAL OLAP .................................................................................................. 39 MOLAP Architecture ............................................................................................................................... 39 MOLAP vs ROLAP .................................................................................................................................... 40 10. SCHEMAS ............................................................................................................................ 41 Star Schema ............................................................................................................................................ 41 Snowflake Schema .................................................................................................................................. 42 Fact Constellation Schema ...................................................................................................................... 42 Schema Definition ................................................................................................................................... 43 11. PARTITIONING STRATEGY .................................................................................................... 46 Why is it Necessary to Partition? ............................................................................................................ 46 Horizontal Partitioning ............................................................................................................................ 47 Vertical Partition ..................................................................................................................................... 49 Identify Key to Partition .......................................................................................................................... 51 12. METADATA CONCEPTS ........................................................................................................ 52 What is Metadata? ................................................................................................................................. 52 iv
Page 2 and 3: About the Tutorial A data warehouse
Page 6 and 7: Categories of Metadata ............
Page 8 and 9: 1. OVERVIEW DWH The term "Data Ware
Page 10 and 11: DWH Data Warehouse Applications As
Page 12 and 13: 2. CONCEPTS DWH What is Data Wareho
Page 14 and 15: DWH Data Transformation - Involv
Page 16 and 17: DWH Data Cube A data cube helps us
Page 18 and 19: DWH Data Mart Data marts contain a
Page 20 and 21: 4. DELIVERY PROCESS DWH A data ware
Page 22 and 23: DWH and medium-term, then we can de
Page 24 and 25: DWH The architecture is designed to
Page 26 and 27: DWH Controlling the Process Control
Page 28 and 29: 6. ARCHITECTURE DWH In this chapter
Page 30 and 31: DWH Enterprise Warehouse Virtual W
Page 32 and 33: DWH The transformations affects
Page 34 and 35: DWH Detailed Information Detailed i
Page 36 and 37: 7. OLAP DWH Online Analytical Proce
Page 38 and 39: DWH Roll-up is performed by cl
Page 40 and 41: DWH Here Slice is performed for t
Page 42 and 43: DWH OLAP vs OLTP Data Warehouse (OL
Page 44 and 45: 8. RELATIONAL OLAP DWH Relational O
Page 46 and 47: 9. MULTIDIMENSIONAL OLAP DWH Multid
Page 48 and 49: 10. SCHEMAS DWH Schema is a logical
Page 50 and 51: DWH The sales fact table is sam
Page 52 and 53: DWH define dimension location as (l
Page 54 and 55:
DWH Horizontal Partitioning There a
Page 56 and 57:
DWH Round Robin Partitions In the r
Page 58 and 59:
DWH Note: While using vertical part
Page 60 and 61:
DWH Role of Metadata Metadata has a
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DWH Challenges for Metadata Managem
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DWH As the merchant is not interest
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DWH The summaries are data marted i
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14. SYSTEM MANAGERS DWH System mana
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DWH Events Events are the actions t
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15. PROCESS MANAGERS DWH Process ma
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DWH Functions of Warehouse Manager
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16. SECURITY DWH The objective of a
Page 78 and 79:
DWH But if each department accesses
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DWH These restrictions need to be c
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17. BACKUP DWH A data warehouse is
Page 84 and 85:
DWH Connecting the tape drive as
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DWH Will it work in cluster a
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DWH It is also essential that th
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DWH Points to Note It is important
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DWH Test Schedule First of all, the
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DWH Testing the Application All th
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21. INTERVIEW QUESTIONS DWH Dear re
Page 98 and 99:
DWH Q: Define a warehouse manager.
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