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An Introduction to Infrastructure

An Introduction to Infrastructure. Ch 11. Issues. Performance drain on the operating environment Technical skills of the data warehouse implementers Operational issues such as funding requirements Shop standards. Platforms. Source system Staging area Application server Desktop tools.

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An Introduction to Infrastructure

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  1. An Introduction to Infrastructure Ch 11

  2. Issues • Performance drain on the operating environment • Technical skills of the data warehouse implementers • Operational issues such as funding requirements • Shop standards

  3. Platforms • Source system • Staging area • Application server • Desktop tools

  4. Back Room Factors: The Database Server • Size: 100 GB to 250 TB • < 100 GB is small • 100 to 500 GB is medium • over 500 GB is large • Volatility: what is the nature and frequency of the update process • Users: the number of users as well as their level of knowledge

  5. Back Room Factors: The Database Server • Number of business processes (marts.) • In some cases there may be a separate platform for each one. • There may be an additional central server for management roll ups • Nature of use • ad hoc queries from power users • standardized queries • data mining

  6. Back Room Factors: The Database Server • Technical support: the hardware, the operating system and the database engine may all require specialized support • Software requirements may dictate platform. • Financial resources

  7. Operating Systems • Mainframes • transaction oriented • complex administration • not parallel • Open system (UNIX) servers • specialized environment • NT servers • relatively small capacities (limited numbers of processors and less efficient performance)

  8. Hardware • Single processor at a time system • Symmetric Multiprocessing (SMP) • Multiple processors • Shared memory • Common bus • Massively Parallel Processing (MPP) • Multiple processors • Distributed memory • Distributed bus

  9. Performance • Indexing • Physical organization • Caching and blocking • Data distribution • Memory • Chip architecture

  10. Operations • Load window (operational scheduling) • Backup • Relationship with transaction organization • User support • Change management

  11. Database Engine Need: Simple Data Access Cross-tab Reporting Fast Response

  12. Database Engine • Relational • Well understood • Include DW support for star joins and fast access • Flexible • Multidimensional (MOLAP) • Extremely fast • Pre-calculated combination facts • Relatively simple • Relatively small (< 10 GB)

  13. Front Room • Configuration of desk-top • Client/Server • Web • Supplemental tools

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