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Oracle Business Intelligence and Essbase Solutions Guide [Hardback]

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  • Formāts: Hardback, 210 pages, height x width: 234x156 mm, weight: 430 g, 110 Illustrations, black and white
  • Izdošanas datums: 12-Dec-2016
  • Izdevniecība: Apple Academic Press Inc.
  • ISBN-10: 1482234076
  • ISBN-13: 9781482234077
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  • Hardback
  • Cena: 83,32 €
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Oracle Business Intelligence and Essbase Solutions GuidePalielināt
  • Formāts: Hardback, 210 pages, height x width: 234x156 mm, weight: 430 g, 110 Illustrations, black and white
  • Izdošanas datums: 12-Dec-2016
  • Izdevniecība: Apple Academic Press Inc.
  • ISBN-10: 1482234076
  • ISBN-13: 9781482234077
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781482234077.html
Keywords:

This book highlights the practical aspects of using Oracle Essbase and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. It explains the key steps involved in Oracle Essbase and OBIEE implementations. Using case studies, the book covers Oracle Essbase for analytical BI and data integration, using OBIEE for operational BI including presentation services and BI Publisher for real-time reporting services, Self-service BI– in terms of VLDB, scalability, high performance, stability, long-lasting and ease of use that saves time, effort, and costs, while maximizing ROI.

Dedication v
Contents vii
Foreword xiii
William Heenan
Preface xvii
Acknowledgments xxiii
About the Authors xxv
Chapter 1 Introduction
1(14)
In This
Chapter
1(1)
1.1 Introduction
1(1)
1.2 A Basic Business Need
2(1)
1.3 What Is Business Intelligence?
3(1)
1.4 Why BI?
4(1)
1.5 Enabling a Competitive Advantage
4(2)
1.6 BI and Reporting Categories
6(7)
1.6.1 Operational Reporting
7(1)
1.6.2 Analytical BI
8(2)
1.6.3 Operational BI
10(3)
1.7 Summary
13(2)
Chapter 2 Why Oracle Essbase Now
15(6)
In This
Chapter
15(1)
2.1 Introduction
15(1)
2.2 OBIEE and Essbase: History and Importance
16(3)
2.3 Why Essbase Now: From History to Historical, Analytical, and Beyond
19(1)
2.4 Summary
20(1)
Chapter 3 Oracle Essbase and Oracle BI: Successful Players and Products
21(16)
In This
Chapter
21(1)
3.1 Introduction
21(1)
3.2 The Primary Vendors: Inventors and Presenters
22(1)
3.3 The Primary Products and Tools Set: Inclusions and Exclusions
23(9)
3.3.1 Oracle Exalytics
23(1)
3.3.2 Oracle Essbase
24(1)
3.3.3 Oracle BI Publisher
25(1)
3.3.4 Oracle BI Foundation Suite
25(2)
3.3.5 Oracle BI Enterprise Edition (OBIEE)
27(2)
3.3.6 Oracle BI Mobile
29(1)
3.3.7 Oracle BI Applications
30(1)
3.3.8 Oracle BI for Big Data
31(1)
3.4 The Primary Users: Evaluators, Investors, Implementers and Eventual Benefiters
32(4)
3.5 Summary
36(1)
3.6 References
36(1)
Chapter 4 Analysis, Evaluation, and Selection
37(10)
In This
Chapter
37(1)
4.1 Introduction
37(1)
4.2 Essential Criteria for Requirements Analysis of Oracle Essbase and OBIEE as a Comprehensive BI Solution
38(5)
4.2.1 Business Processes--Discovery and Definition
38(1)
4.2.2 Information Integration
39(1)
4.2.3 Information Dissemination, Transformation, and Visualization
40(1)
4.2.4 User Interaction
41(1)
4.2.5 Information Customization
41(1)
4.2.6 Information in Action: BI, Advanced Analytics, and Beyond BI (Competitive, Social, and Cloud-Based Intelligence)
42(1)
4.2.7 Information and Big Data
42(1)
4.3 Key and Critical Deciding Factors in Selecting Such a Solution
43(1)
4.4 The Final Pick is a Customer-Centric Solution: Key Indicator Checklist
44(2)
4.5 Summary
46(1)
4.6 References
46(1)
Chapter 5 Data Integration, Implementation, and Customization Using Essbase
47(18)
In This
Chapter
47(1)
5.1 Introduction
47(1)
5.2 Building an Integrated Approach for Data
48(3)
5.2.1 Recommendations
49(2)
5.3 Implementation Specifics of Data, from Data Source to Data Analytics
51(1)
5.4 Semantic Integration between OBIEE and Essbase, Using OBIEE as a Data Source for Oracle Essbase
52(5)
5.4.1 Recommendations
53(2)
5.4.2 Implementation Specifics
55(1)
5.4.3 Using OBIEE 12c for Essbase 12c
56(1)
5.5 Extending and Customizing Essbase
57(5)
5.5.1 Extending Essbase Cubes
57(2)
5.5.2 Analytics That Can Be Applied to Custom Implementations
59(1)
5.5.3 Best Practices and Additional Customization Scenarios
60(2)
5.6 Summary
62(1)
5.7 References
63(2)
Chapter 6 Using Essbase for Analytical BI
65(12)
In This
Chapter
65(1)
6.1 Introduction
65(1)
6.2 What Kind of Analytics Are Good for Essbase Cubes?
66(2)
6.2.1 Recommendations
68(1)
6.3 Implementation Specifics of Using Analytical BI Using Essbase
68(5)
6.3.1 Using Essbase for Analytical BI
69(2)
6.3.2 Using BSO Cubes for Analytical BI
71(2)
6.3.3 Using ASO Cubes for Analytical BI
73(1)
6.4 Summary
73(2)
6.5 References
75(2)
Chapter 7 Using OBIEE for Operational BI
77(20)
In This
Chapter
77(1)
7.1 Introduction
77(1)
7.2 Don't Let Your Tool Wag Your Data
78(2)
7.3 Categories for Business Intelligence and Reporting
80(2)
7.4 What Is Operational Business Intelligence?
82(2)
7.4.1 The Ultimate Goal: Insight to Interaction
83(1)
7.5 Delivering Operational BI
84(7)
7.5.1 Operational BI and OBIEE
85(2)
7.5.2 Updating the Enterprise Data Warehouse for Operational BI
87(4)
7.6 The Operational Data Store Option
91(3)
7.7 Summary
94(3)
Chapter 8 Using OBIEE for Self-Service BI
97(10)
In This
Chapter
97(1)
8.1 Introduction
97(1)
8.2 In Search of Self-Service BI
98(1)
8.3 Enter OBIEE as a Solution
99(2)
8.4 OBIEE for Self-Service BI
101(2)
8.5 Big Data and Self-Service BI
103(2)
8.5.1 OBIEE12c and Big Data
104(1)
8.6 Summary
105(2)
Chapter 9 Best Practices for Solution Implementation and Customization
107(12)
In This
Chapter
107(1)
9.1 Introduction
107(1)
9.2 Establishing a Data Foundation Based on a Logical Model
108(2)
9.3 Extending the Logical Data Model for Implementation and Customization
110(6)
9.3.1 Using the Logical Model To Extend Essbase Cubes
111(1)
9.3.2 Building Analytics That Can Be Applied to Custom Implementations
112(2)
9.3.3 Best Practices and Additional Customization Scenarios
114(2)
9.4 The Logical Model as a Scalable Best Practice Solution
116(1)
9.5 Summary
117(2)
Chapter 10 Use Case Scenarios
119(6)
In This
Chapter
119(1)
10.1 Introduction
119(1)
10.2 The Challenge
120(3)
10.3 The Resolution
123(1)
10.4 Summary
124(1)
Chapter 11 The Prize for the Price: A Win--Win or Not
125(6)
In This
Chapter
125(1)
11.1 Introduction
125(1)
11.2 The True Value of Expertise
126(1)
11.3 Data-Driven Development
126(1)
11.4 A 360-Degree View of a Holistic Solution
127(1)
11.5 Summary
128(3)
Appendix A Oracle Big Data and the Cloud for Analytics
131(4)
A.1 Using the Cloud To Unleash the Potential of Big Data
131(1)
A.2 Oracle's Role in Cloud Services and Big Data
132(1)
A.3 Beyond BI
133(2)
References
133(2)
Appendix B Slides from Data Warehouse Architectures
135(20)
B.1 Overview of the Corporate Information Factory and Dimensional Modeling
135(9)
B.2 Slides from OBIEE 12c Presentation
144(11)
Appendix C Oracle® Data Sheets
155(12)
Index 167
From military intelligence to business intelligence, Rosendo Abellera has made a lifelong career out of utilizing data as a critical asset. His early career in software development began with several commercial software packages across various industries and business areas, including work order management, telecom billing, prescription refill, and even voter registration. This extensive hands-on experience of developing data-driven applications has contributed heavily to his expertise and proven, successful approach to Business Intelligence (BI) and Analytics solutions development. As an early adopter and pioneer of BI coupled with modern data warehousing (DW) approaches and technologies, he has successfully architected DW and BI solutions from the ground up for leading companies, including AAA, Comcast, John Hancock Financial, Koch Industries, LexisNexis, Mercury Systems, and State Street Bank. Additionally, Rosendo has consulted a multitude of leading organizations across various industries both in the government and commercial realm. As a DW and BI Subject Matter Expert (SME) and proven successful practitioner, he has held key management positions to establish the DW and BI practices of several major, prolific consulting organizations. A consummate entrepreneur, he has founded DW and BI irms including a former Oracle Partner as well as a Big Data Analytics company.









Lakshman Bulusu is a Senior Oracle Consultant with 23 years of experience in the fields of Oracle RDBMS, SQL, PL/SQL, EDW/BI/EPM, and Oracle-related Java. As an Enterprise-level data warehouse, and business intelligence solution architect/technical manager in the ORACLE RDBMS space, he focused on a best-fit solution architecture and implementation of the Oracle Industry Data Model for telecom. He has worked for major clients in the pharma/healthcare, telecom, financial (banking), retail, and media industry verticals, with special emphasis on cross-platform heterogeneous information architecture and design. He has published eight books on Oracle and related technologies, all published in the United States, as well as four books on English poetry. He serves on the development team of qteria.com and Qteria Big Data Analytics. Bulusu is OCPcertified and holds an Oracle Masters credential. He was selected as a FOCUS Expert for his research briefs titled "Raising your SIQ (Social Intelligence Quotient): 5 Key Business Indicators," "Raising your BIQ (Business Intelligence Quotient): 5 Things Your Company Can Do NOW," and "High- Fives for an Innovative HR Strategy" on FOCUS.com. He has written a host of technical articles and spoken at major Oracle conferences in the United States and abroad. He can be reached at balakshman@gmail.com.