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  1. Big Kettle News
  2. Data Modeling
  3. Streaming XML content parsing with StAX
  4. Real-time streaming data aggregation
  5. What?s new in 4.2.0
  6. Memory tuning fast paced ETL
  7. Dynamic de-normalization of attributes stored in key-value pair tables
  8. The Single Threader step
  9. Kettle data in a browser
  10. Executing Talend Jobs in Kettle
  11. Data Cleaner 2
  12. Reading from MongoDB
  13. My Android tablet
  14. Parse nasty XLS with dynamic ETL
  15. 5 years of open source Kettle
  16. Kettle vs Oracle REF CURSOR
  17. Pentaho Reporting Output step
  18. The Time Has Come for Enterprise Search
  19. Pentaho Kettle Solutions Overview
  20. Books @ Pentaho Community Meetup 2010
  21. Hops in 4.1
  22. JSON / Portugal
  23. The Problem with Total Cost of Ownership
  24. Complex Event Processing: Challenging Real-Time ETL
  25. The Flaw of the Data Inventory
  26. So You Think You’re Ready for a Data Warehouse Appliance, Part 2
  27. So You Think You’re Ready for a Data Warehouse Appliance
  28. Book Review : Pentaho 3.2 Data Integration
  29. HP reveals their future with Palm acquisition
  30. Blind Vendor Allegiance Trumps Utility
  31. Slides from my MySQL UC 2010 presentation
  32. MySQL User Conference 2010
  33. MDM Can Challenge Traditional Development Paradigms
  34. Staring at the Lights: Your Data Warehouse Isn’t a Commodity
  35. Kettle log text capturing
  36. MDM Streamlines the Supply Chain
  37. Re-Introducing UDJC
  38. Job drill down & sniff testing
  39. Standardizing Data Migration
  40. BI Reports, Data Quality, and the Dreaded Design Review
  41. Open Source BI : Pentaho Rules!
  42. You Build it, You Break It, You Fix It: Why Applications Must Be Responsible for Data
  43. Book Review : Pentaho Reporting 3.5 for Java Developers
  44. My new netbook?
  45. Presenting Pentaho at Devoxx
  46. Kettle 4 Logging architecture
  47. The kindness of strangers
  48. Pentaho BI Server 3.5
  49. Mapping to a database table
  50. The road to version control
  51. speed test meme
  52. Google Goodies and Lego
  53. Happy Birthday, Evan!
  54. Free Ham for $6 Per Pound (and Other Oracle Marketing Ploys)
  55. Improving BI Development Efficiency: Standard Data Extracts
  56. All Business Analysts are Not Created Equal
  57. Perfect Data and Other Data Quality Myths
  58. MDM: Subject-Area Data Integration
  59. Good Data Warehouse DBAs are Hard to Find
  60. Repurposing Your Data Warehouse Platform—Not!
  61. Sun and Oracle
  62. MDM: Build or Buy?

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