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Exam preparation session. Examinable Topics. Key characteristics of databases From data modelling to DB design Beyond data modelling Realistic constraints – key practical questions Key decisions in design optimisation Categories of critical operations (inc. internet DBs)
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Examinable Topics • Key characteristics of databases • From data modelling to DB design • Beyond data modelling • Realistic constraints – key practical questions • Key decisions in design optimisation • Categories of critical operations (inc. internet DBs) • Issues in DB performance • Reading data in Oracle • Writing / changing data • Indexing • Partitioning • Distributed DBs • Control / challenges / protocols for commit & abort / timestamping • Options for data administration
Examinable Topics (2) • Creating Oracle DBs • When DB is created • Block size • Tablespaces • Object creation: sizing / extents / segments / tables / views / clusters • Data Warehousing • From OLTPS to DMSS • Data extract explosion • Data quality • Datawarehouse architecture / life cycle / data models / implementation approaches • Datamarts • Predefined reports / OLAP / data mining • Transferring / migrating data • Data staging areas • Data cleaning • What can go wrong + utilities • Advanced Database tuning methodologies and techniques
Exam paper • 120 marks (+80cw = 200) • 6 questions must do 4 type • 5 questions: a & b • 1 straight question • All are focused on one specific topic but can involve material across lectures • Notes (web + class attendance) are sufficient
Sample question Question x (a) Explain how Oracle™ handles the sizing and the growth of objects in a tablespace (e.g: segments, extents, pctincrease factor, block size etc…) and what this means for database administrators (13 percent) (b) Explain the use of tablespaces in Oracle™ and the reasoning behind creating and organizing them (e.g. business relevance, types of objects, etc). (12 percent)