Friday, January 18, 2019

Database Technology Essay

targetives of the course This course aims to provide continuum to where the jump course of selective informationbases left off. jut out aspects of relative databases are covered. Complex data models like OO OR reduplicate and distributed are introduced. The course provides students a fair overview of the ideas and the techniques, which are behind recent developments in the fields of data storehouse and Online Analytical Processing (OLAP). 1. Overview Review of relational database systems, ER diagram, SQL. 2. Integrity and certificate Domain constraints referential integrity, assertions triggers triggers and Assertions in SQL. Security and Authorization Authorization in SQL. 3. Relational informationbase protrude First Normal form pitfalls in relational database design, functional dependencies decomposition.Desirable properties of decomposition. Boyce Code normal form 3rd and quaternate normal form. Mention of other normal forms. 4. The ER Model Revisited need for compl ex data types, User Defined Abstract Data Types And coordinate Types, Subclasses, Super classes, Inheritance, Specialization and Generalization, Relationship Types of Degree Higher Than Two. 5. Object-oriented & Object relational databases Object Identity, Object Structure, and Type Constructors, Encapsulation of operations, Methods, and Persistence, Type Hierarchies and Inheritance, Type extents and Queries, Database Design For An ORDBMS Nested Relations and Collections Storage And Access methods, Overview of SQL3. 6. Parallel and Distributed Databases Parallel Query military rank Parallelizing Individual Operations, Sorting, Joins Distributed Database Concepts, Data Fragmentation, Replication, and Allocation techniques for Distributed Database Design Query Processing in Distributed Databases Concurrency Control and Recovery in Distributed Databases.7. Enhanced Data Models for Advanced Applications. (Overview and Design issues) Temporal Databases Spatial Databases & Geogra phic Information Systems, Mobile Databases. 8. Data Warehousing and OLAP. a) Data Warehouse Basics Data Warehouse (DW) debut & Overview Data Marts, DW components Data warehouse architecture ETL Data regeneration Extracting, Conditioning, cleansing, Scrubbing, Merging, etc., b) OLAP Multi-dimensional modeling Fact table, dimensions, measures, examples Schema Design Star and Snowflake OLAP OLAP Vs OLTP, ROLAP, MOLAP, HOLAP gumshoes. OLAP Operations Rollup, Drill-down, Dice slice, pivot. Text Books 1. Elmasri and Navathe, Fundamentals of Database Systems, Pearson Education2. Raghu Ramakrishnan, Johannes Gerhke, Database Management Systems McGraw Hill 3. Kimball, Ralph Reeves, Laura et al Data warehouse Lifecycle Toolkit expert methods for designing, developing, and deploying data warehouses Wiley publications. References 1. Korth, Silberchatz, Sudarshan, Database System Concepts McGraw Hill 2. C.J.Date, Longman, inception to Database Systems, Pearson Education 3. Paulraj P onnian, Data Warehousing Fundamentals, John Wiley. Term seduce Term hold out shall consist of at least(prenominal) 10 assignments/ programme assignments and one written test. Marks 1. Attendance (Theory and Practical) 05 Marks2. Laboratory work (Experiments and Journal) 10 Marks 3. Test (at least one) 10 Marks The closing certification and acceptance of TW ensures the satisfactory performance of laboratory Work and nominal Passing in the term work. Suggested Experiment List 1. At least one or two review SQL assignments covering triggers, assertions and authorizations. 2. Object Oriented Queries 3. Case study assignments for OO and OR database. 4. Two miniskirt projects in distributed and parallel databases. 5. Hands on any one good warehousing tool (Oracle/SQL server Analysis tool etc.) 6. A full fledged mini project in which a student will design and run through a data warehouse. The data warehouse must be live and OLAP queries and operations to be demonstrated for the ware house.

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