Hot Best Seller

Kimball's Data Warehouse Toolkit Classics: The Data Warehouse Toolkit, The Data Warehouse Lifecycle, The Data Warehouse ETL Toolkit

Availability: Ready to download

- Cowritten by Ralph Kimball, the world's leading data warehousing authority - Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process - Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining da - Cowritten by Ralph Kimball, the world's leading data warehousing authority - Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process - Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse - Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality This book is also available as part of the Kimball's Data Warehouse Toolkit Classics Box Set (ISBN: 9780470479575) with the following 3 books: The Data Warehouse Toolkit, 2nd Edition (9780471200246) The Data Warehouse Lifecycle Toolkit, 2nd Edition (9780470149775) The Data Warehouse ETL Toolkit (9780764567575)


Compare

- Cowritten by Ralph Kimball, the world's leading data warehousing authority - Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process - Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining da - Cowritten by Ralph Kimball, the world's leading data warehousing authority - Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process - Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse - Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality This book is also available as part of the Kimball's Data Warehouse Toolkit Classics Box Set (ISBN: 9780470479575) with the following 3 books: The Data Warehouse Toolkit, 2nd Edition (9780471200246) The Data Warehouse Lifecycle Toolkit, 2nd Edition (9780470149775) The Data Warehouse ETL Toolkit (9780764567575)

48 review for Kimball's Data Warehouse Toolkit Classics: The Data Warehouse Toolkit, The Data Warehouse Lifecycle, The Data Warehouse ETL Toolkit

  1. 5 out of 5

    Mama

    i need this book..

  2. 4 out of 5

    Sella Perumal

    I want to read this book..

  3. 4 out of 5

    Brian Mansell

  4. 4 out of 5

    John Garner

  5. 5 out of 5

    Rebecca Fuller

  6. 4 out of 5

    Bruno Rafael Oliveira

  7. 5 out of 5

    Radika Ramya

  8. 5 out of 5

    Alcides Morales Guedes

  9. 5 out of 5

    Alexander

  10. 5 out of 5

    Colin

  11. 4 out of 5

    Pratidnyaswami

  12. 4 out of 5

    Mike Resvanis

  13. 5 out of 5

    Aubrey P

  14. 4 out of 5

    Koen

  15. 5 out of 5

    Anwar Nishil

  16. 4 out of 5

    Lukas Sahardiman

  17. 5 out of 5

    Fernando Junqueira de paiva

  18. 4 out of 5

    Chris Godden

  19. 5 out of 5

    Peter Sam

  20. 4 out of 5

    Linus Bengtsson

  21. 5 out of 5

    Tyler King

  22. 4 out of 5

    Jason

  23. 4 out of 5

    Rudy OrdoƱez Canelas

  24. 5 out of 5

    Josh

  25. 4 out of 5

    Ho Nhat

  26. 5 out of 5

    Nomvula Nonjabe

  27. 5 out of 5

    Erika

  28. 5 out of 5

    Jason Graham

  29. 4 out of 5

    Imran

  30. 5 out of 5

    Homoionym

  31. 4 out of 5

    Toryn Green

  32. 4 out of 5

    Lucky Kanwar

  33. 4 out of 5

    Sabrina Atienza

  34. 4 out of 5

    Sheetal

  35. 4 out of 5

    Thrinath

  36. 5 out of 5

    Santanu

  37. 4 out of 5

    Jaiyaram Mahendran

  38. 4 out of 5

    Kshitij Mahadeshwar

  39. 5 out of 5

    Adi Suanditha

  40. 5 out of 5

    Adoa237

  41. 4 out of 5

    Marcello Casalena

  42. 5 out of 5

    Aisha

  43. 4 out of 5

    Ujjwal Wadhawan

  44. 5 out of 5

    Jihong Wang

  45. 5 out of 5

    Rob

  46. 5 out of 5

    Homiyeu Alo

  47. 5 out of 5

    East Tucson

  48. 5 out of 5

    Gary

Add a review

Your email address will not be published. Required fields are marked *

Loading...
We use cookies to give you the best online experience. By using our website you agree to our use of cookies in accordance with our cookie policy.