Project Presentation on Data WareHouse
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Rohit Sharma presented a seminar on a project that discussed data warehousing, data mining, and how to apply data warehousing concepts to project data. The presentation covered terminology, pulling together and correctly using data from multiple sources, software requirements including PHP and MySQL, and screenshots of the admin panel and user interfaces.
Project Presentation on Data WareHouse
- 1. A SEMINAR ON Project Presented by: Rohit Sharma 1211156 B.Tech 4th yr. ECE(B1)
- 2. CONTENTS Introduction and Terminology Data Warehousing Data Mining Applying Data Warehousing Ideas to Project Data Software Requirements Data Flow Diagram Snapshots Admin Panel Snapshots
- 4. WHAT IS DATA WAREHOUSE? Loosely speaking, a data warehouse refers to a database that is maintained separately from an organization’s operational database Officially speaking: “A data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile collection of data in support of management’s decision-making process.”—William. H. Inmon
- 6. DATA MINING Process of discovering interesting patterns or knowledge from a (typically) large amount of data stored either in databases, data warehouses, or other information repositories Alternative names: knowledge discovery/extraction, information harvesting, business intelligence In fact, data mining is a step of the more general processof knowledge discovery in databases (KDD)
- 9. APPLYING DATA WAREHOUSING IDEAS TO PROJECT DATA •Pulling data together •Using data correctly
- 10. Pulling data together Data may be pulled in and manipulated at any point along the way; the programmer may mix together the program logic that acquires the data with the program logic that generates the desired results from it in any way that seems easy and efficient.
- 11. Using data correctly Data cleaning goes a long way toward ensuring that data will be used correctly, but a well- designed data warehouse goes beyond this. A data warehouse uses additional variables and documents to describe the meaning of data elements,values, and records. This additional data is called metadata because it describes the data being used.The data warehouse approach: Use metadata to describe the meaning and source of data.
- 12. SOFTWARE REQUIREMENTS : Operating system: windows 9X, 2000,XP Language: PHP Database: MySql Memory Requirements: 64MB RAM or higher
- 14. ARCHITECTURE
- 15. SNAPSHOTS
- 16. HOME PAGE
- 17. JOBS SEARCH
- 20. USER’S ACCOUNT DEFAULT VIEW
- 21. APPLIED FOR JOB SUCESSFULLY
- 24. LIST OF FUNCTIONAL AREAS
- 25. LIST OF POSITIONS MASTERS
- 27. LIST OF REGISTERED USERS
- 28. LIST OF ACTIVE JOBS