Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
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) • 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)