รูปภาพสินค้า รหัส9780471919216
9780471919216
Up-to-date, comprehensive coverage of the Oracle database and business intelligence tools
ผู้เขียนJoseph Rayman, Robert Stackowiak, Rick Greenwald

ส่วนลด 0 %
ราคาปก 2,025.00 บาท
ราคาสุทธิ 2,025.00 บาท
Bookmark and Share
รายละเอียดหนังสือ
รหัสสินค้า: 9780471919216
จำนวน: 386 หน้า
ขนาดรูปเล่ม: 188 x 235 x 19 มม.
น้ำหนัก: 585 กรัม
เนื้อในพิมพ์: ขาวดำ 
ชนิดปก: ปกอ่อน 
ชนิดกระดาษ: -ไม่ระบุ 
หน่วย: เล่ม 
สำนักพิมพ์: Wiley Publishing, Inc. 
:: เนื้อหาโดยสังเขป
Data warehouses are the core technology that businesses use to capture, store, and analyze vast amounts of business data, and Oracle has emerged as the leading database platform. Its business intelligence tools make it considerable easier to analyze data to support marketing, sales, and other initiatives. Written by a team of Oracle insiders, this authoritative book provides you with the most current coverage of the Oracle data warehousing plaform as well as the full suite fo business intelligence tools.

You'll learn how to leverage Oracle features and how those features can be used to provide solutions to a variety of needs and demands. Plus, you'll get valuable tips and insight based on the authors' real-world experiences and their own implementations.

Serving as a single reference that aims to help you aviod many common pitfalls while gaining professional success, Oracle Data Warehousing shares best practices for:

- Leveraging Oracle technologies to design, build, and manage data warehouses
- Integrating specific database and business intelligence solutions from other vendors
- Using the new suite of Oracle business intelligence tools to analyze data for marketing, sales, and more
- Handling typical data warehouse performance challenges
- Uncovering initiatives by your business community, security business sponsorship, project staffing, and managing risk

The companion Web site contains all the same code used throughout the book, plus links to related sites.
:: สารบัญ
Part I Oracle Business Intelligence Dafined
Part II Custom-Built Data Warehousing Solutions
Part III Best Practices