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Understanding Infrastructure in Data Warehousing

Learn about performance, technical skills, operational issues, and equipment requirements in data warehousing infrastructure.

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Understanding Infrastructure in Data Warehousing

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Presentation Transcript

  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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