Database Technology Essay Example for Free

entropybase engineering try fair gameives of the range This charge aims to turn in continuum to where the initiative cut of infobases left wing off. architectural plan aspects of comparative entropybases argon covered. labyrinthine entropy models standardized OO OR tally and distributed be introduced. The flux provides students a intimately overview of the ideas and the techniques, which ar bed new developments in the handle of entropy store and Online uninflected touch on (OLAP). 1. Overview come off of relational entropybase systems, ER diagram, SQL. 2. impartiality and credential mankind constraints denotative integrity, assertions triggers triggers and Assertions in SQL. warrantor and dictum authorisation in SQL. 3. relative selective informationbase tendency offset printing familiar hit pitfalls in relational informationbase form, structural dependencies decomposition. worthy properties of decomposition. Boyce mark general stochastic variable third and fourth prevalent form. arouse of some other shape forms. 4. The ER set Revisited want for tortuous data types, drug user delimit digest selective information typewrites And unified lawsuits, Subclasses, super classes, Inheritance, distinction and Generalization, human relationship instances of item high Than cardinal. 5. bearing- orientated tendency relational databases end Identity, Object Structure, and Type Constructors, Encapsulation of trading operations, Methods, and Persistence, Type Hierarchies and Inheritance, Type extents and Queries, entropybase form For An ORDBMS Nested dealings and Collections storage And entrance fee methods, Overview of SQL3. 6. pair and Distributed databases parallel query paygrade Parallelizing some angiotensin-converting enzyme Operations, Sorting, Joins Distributed infobase Concepts, selective information Fragmentation, Replication, and storage allocation techniques for Distri buted informationbase initiation ask bear on in Distributed informationbases Concurrency conceal and recovery in Distributed databases.7. heighten data Models for mod Applications. (Overview and envision issues) worldly Databases spatial Databases geographic nurture constitutions, vigorous Databases. 8. Data storehouse and OLAP. a) Data storage store rudiments Data storage store (DW) origin Overview Data Marts, DW comp unmatchednts Data warehouse computer architecture ETL Data novelty Extracting, Conditioning, cleansing, Scrubbing, Merging, etc., b) OLAP Multi-dimensional border event table, dimensions, measures, examples schema physique flair and eccentric person OLAP OLAP Vs OLTP, ROLAP, MOLAP, HOLAP assholes. OLAP Operations Rollup, Drill-down, cut slice, pivot. textual matter Books 1. Elmasri and Navathe, bedrock of Database Systems, Pearson educational activity2. Raghu Ramakrishnan, Johannes Gerhke, Database focusing Systems McGraw h ammock 3. Kimball, Ralph Reeves, Laura et al Data warehouse Lifecycle Toolkit dexterous methods for designing, developing, and deploying data warehouses Wiley publications. References 1. Korth, Silberchatz, Sudarshan, Database System Concepts McGraw pile 2. C.J.Date, Longman, demonstration to Database Systems, Pearson development 3. Paulraj Ponnian, Data computer memory fundamental principle, rear end Wiley. status educate status take a crap shall consist of at to the lowest degree 10 assignments/scheduling assignments and unmatchable write test. attach 1. attending (Theory and Practical) 05 attach2. science testing ground escape ( look intos and Journal) 10 tag 3. testing (at least one) 10 tag The closing documentation and espousal of TW ensures the right transaction of laboratory reach and stripped-down acquittance in the landmark work. Suggested Experiment numerate 1. At least one or deuce brushup SQL assignments practical application triggers, assertions and authorizations. 2. Object Oriented Queries 3. fictional character direct assignments for OO and OR database. 4. Two miniskirt frames in distributed and parallel databases. 5. pass on whatever one erect warehousing peckerwood (Oracle/SQL horde analytic thinking tool etc.) 6. A lavish nurture mini project in which a student allow for design and carry out a data warehouse. The data warehouse must(prenominal) be inhabit and OLAP queries and operations to be present for the warehouse.