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Data warehouse lifecycle toolkit

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Penilaian

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In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances. In addition, the term "business intelligence" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business. Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk through the detailed steps of designing, developing, and deploying a DW/BI system. How to create adaptable systems that deliver data and analysis to business users so they can make better business decisions. With substantial new and updated content, this second edition of The Data Warehouse Lifecycle Toolkit again sets the standard in data warehousing for the next decade. It shows you how to: Identify and prioritize data warehouse opportunities Create an architecture plan and select products Design a powerful, flexible, dimensional model Build a robust ETL system Develop BI applications to deliver data to business users .

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Ketersediaan

B20113656	005.74 KIM d	My Library	Tersedia
B20113657	005.74 KIM d	My Library	Tersedia
B20113658	005.74 KIM d	My Library	Tersedia

Informasi Detail

Judul Seri

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No. Panggil

005.74 KIM d

Penerbit

Indianapolis : John Wiley., 2008

Deskripsi Fisik

xxxiv, 636 p. : ill. ; 24 cm.

Bahasa

English

ISBN/ISSN

9780470149775

Klasifikasi

005.74

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

2

Subjek

Data warehousing
SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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