Database Systems Relational Database • Most common form of database • Uses tables consisting of rows (tuples) and columns (attributes) • Most tables contain a primary key that uniquely identifies each row in the table (No duplicates allowed) • Rows in one table may point to rows in another table through the use of a foreign key – it points to a primary key in another table. A table may have multiple foreign keys. • Tables are related to one another by their keys Example • Two tables are shown below
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Ethical issues in Google earth technology | Table of Contents: Introduction and Background2 Bright side3 Google Earth and Irish archeological landscapes 4 Google Earth potentials in the humanitarian sector 4 Google Earth as an Innovative Tool for Community Mapping 5 Dark side6 Google earth and National security6 Google earth and personal privacy6 Analysis of survey8 My opinion8 Summary9 References11 Appendix-Questionnaire Survey12 Ethical Issues in Google earth technology
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strategies (Luthans and Doh‚ 2009. Google incorporated (inc.) which was formed in 1998 view the internet as a means for sharing the entire world’s data and to allow users a simple and quick mechanism to access this data. Its primary function is organising the world’s information and making it universally accessible (www.google inc.com) This article will analyze the global strategy of Google Inc’s. subsidiary in the Chinese market. It will also examine the set backs of Google‚ a multinational company (MNC)
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1) Discuss competition in the search engine industry. Which of the five competitive forces seems strongest? Weakest? What is your assessment of overall industry attractiveness? Google constantly has to maneuver to improve their services‚ and stay ahead of other competitors. Google also faces low switching cost which increases rivalry among competitors: o Name recognition‚ image o Services provided o Relationship with Internet users‚ web sites‚ & advertisers o Relevancy of a search results
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1.0 Recommendations: 1. Continue the Emphasis on Delivering High and Personal Customer Service 2. Leverage the website for marketing purposes‚ focus on increasing revenues and not necessarily reducing costs. 3. Establish and manage a customer awareness database to be leveraged by all Four Seasons properties. 4. Solicit select feedback from customers regarding use of technology‚ e.g. concerning automated checkout (i.e. should it be an option). 5. Implement a ’Seasons Pass’ - rewards program to
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Summary of Google SWOT analysis Strengths Opportunities • Google is number one search engine and has established a brand name‚ in which its users trust. • It’s dependable‚ reliable and fast. • Google has low operation cost as it uses low cost UNIX web servers for indexing millions of web pages across internet • Very little end user marketing is needed as the name itself is getting word by mouth publicity. • The Google interface is simple and it gives comprehensive results without confusing
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ARU-OL-ORM-1303 MBA Program Unit Code:ORM-1303 Unit Details: Organizational Resource Management (ORM) Instructor/Assessor’s Name: Shakir Jacob Assignment Title: Assignment ORM | Assignment is Part or Full Assessment of Unit? Full AssessmentTask 1 and Task 2 | Student Full Name: KAMBALA GOVARDHANA NAGA GANGADHARA RAO | Centre:Sharjah | Westford Student ID: | ABP Student ID: | Date Assignment Issued:12 April 13 | Date Assignment Due :19 April 13 for task 1‚26 Apr 13 for task 2 | Internally
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an important tool. a) Rivalry among Competitors * Rivalry among search engine firms is Very Strong. Google has an 80% market share in the search industry with several rivals. The competition among rivals is average‚ but has high potential for growth. Google constantly has to maneuver to improve their services‚ and stay ahead of other competitors. Google also faces low switching cost which increases rivalry among competitors: • Rapid growth in online auctions is acting
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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING‚ VOL. 7‚ NO. 2‚ FEBRUARY 2014 503 Integration of LiDAR Data and Orthophoto for Automatic Extraction of Parking Lot Structure Lihua Tong‚ Liang Cheng‚ Manchun Li‚ Jiechen Wang‚ and Peijun Du Abstract—To overcome the challenges of parking lot structure extraction using optical remote sensing images‚ this study proposes an automatic method for the extraction of parking lot structure by integrating LiDAR data
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Unit Overview This unit demonstrates the types of information held in the workplace‚ how it can be used to gain a competitive edge and how it must comply with legislation by the end of this unit you shall; Understand how organisations gather‚ analyse and use data Be able to explain the characteristics of “good” data Be able to select and use data to support business activities Be able to present data in an appropriate format for specific purposes LO1 – Understand how organisations use
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