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Transportation: Loading Warehouse Data

Transportation: Loading Warehouse Data. Chapter 12. Transporting data into the Warehouse. Loading moves the data into the warehouse Loading can be time-consuming: - Consider the load window. - Schedule the task; automates all processes.

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Transportation: Loading Warehouse Data

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  1. Transportation: Loading Warehouse Data Chapter 12

  2. Transporting data into the Warehouse • Loading moves the data into the warehouse • Loading can be time-consuming: - Consider the load window. - Schedule the task; automates all processes. • Initial load moves large volumes • Subsequent refresh moves smaller volumes • Business determines the cycle

  3. Extract Processing Environment • After each time interval, build a new database • Run queries Operational database T1 T2 T3

  4. Warehouse Processing Environment • Build a new database • After each time interval, add changes to database • Archive or pure oldest data • Run queries Operational database T1 T2 T3

  5. First-Time Load • Single event that populates the data with historical data • Involves large volume of data • Employs distinct ETT tasks • Involves large amounts of processing after load Operational database T1 T2 T3

  6. Refresh • Performed according to a business cycle • Simple task • Less data to load than first-time load • Less-complex ETT • Smaller amounts of postload processing Operational database T1 T2 T3

  7. Building the Transportation Process Specification • Techniques and tools • File transfer methods • The load window • Time window for other tasks • First-time and refresh cycle • Connectivity bandwidth

  8. Building the Transportation Process • Test the proposed techniques • Document proposed load • Gain agreement on the process • Monitor • Review • Revise

  9. Granularity Low-level grain - Expensive, high level of processing, more disk, detail High-level grain - Cheaper, less processing, less disk, little detail • Important design and operational issue • Space requirements - Storage - Backup - Recovery - Load

  10. Transportation Techniques • Tools • Utilities and 3GL • Gateways • Customized copy programs • Replication • FTP • Manual

  11. Transportation Technique Considerations • Tools are comprehensive but costly. • Data-movement utilities are fast and powerful. • Gateways are not always the fastest method: - Access other databases - Supply dependent data marts - Support a distributed environment - Provide real-time access if needed

  12. Using SQL*Loader to Load Data Control file Input files • Fastest load mechanism • Direct path • Parallel and unrecoverable • Direct-load INSERT (Oracle8) • Direct-path load API (Oracle8i) SQL*Loader Bad files Log files Discard files

  13. Direct-Path Load API in Oracle8i • Allows ETT and other tools to load Oracle databases efficiently • Permits load behavior to be customized • Gives direct-path load performance • Provided complete access to all direct-load functionality using OCI

  14. More Transportation Technique Considerations • Use customized programs as a last resort • Replication is limited by data-transfer rates

  15. Postprocessing of Loaded Data Transform Extract Transport Create Indexes Generate keys Postprocessing of loaded data Summarize Filter

  16. Indexing Data • Before load: fast index reenablement • During load: adds time to load window • After load: adds time to load window Index Operational databases Staging files Warehouse database

  17. Unique Indexes • Disable constraints load • Enable constraints to create index Disable constraints Load data Enable constraints Create index Catch errors Reprocess

  18. Creating Artificial Keys • Use generalized or derived keys • Maintain the uniqueness of a row • Use an administrative process to assign the key • Concatenate operational key with number: - Easy to maintain - Cumbersome keys - No clean value for retrieval

  19. Creating Unique Keys for Records • Assign a number from a list: - No semantic meaning - Extract operations must reference table assign numbers Update metadata • Verdict 109908 1

  20. Creating Summary Tables • CTAS • pCTAS Summary data Warehouse Data marts

  21. Verifying Data Integrity • Load data into intermediate file • Compare target flash totals with totals before load Flash totals Counts and amounts File 1 Load Load File 1 File 2 File 2 Preserve, inspect, fix, then load Intermediate file Warehouse

  22. Steps for Verifying Data Integrity

  23. Standard Quality Assurance Checks • Load status • Completion of the process • Completeness of the data • Data reconciliation • Violations • Reprocessing • Comparison of counts and amounts

  24. Summary This lesson discussed the following topics: • First-time load considerations • Techniques for transporting data • Tasks involved in the postload processing stage

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