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The Data Warehouse ETL Toolkit
The Data Warehouse ETL Toolkit
Knygos.lt klubas Knygos.lt nariams
64,67 €
-30%
Įprastai
92,39 €
  • Išsiųsime per 12–18 d.d.
Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies 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 p…
  • Leidėjas:
  • ISBN-10: 0764567578
  • ISBN-13: 9780764567575
  • Formatas: 18.8 x 23.4 x 2.8 cm, minkšti viršeliai
  • Kalba: Anglų

The Data Warehouse ETL Toolkit (el. knyga) (skaityta knyga) | knygos.lt

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  • Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies
  • 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
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  • Autorius: Ralph Kimball
  • Leidėjas:
  • ISBN-10: 0764567578
  • ISBN-13: 9780764567575
  • Formatas: 18.8 x 23.4 x 2.8 cm, minkšti viršeliai
  • Kalba: Anglų

  • Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies
  • 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

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