PPT-Design Theory for Relational Databases

Spring 2011 Instructor Hassan Khosravi Chapter 3 Design Theory for Relational Database 31 Functional Dependencies 32 Rules About Functional Dependencies 33 Design of Relational Database Schemas. Also formal definitions of insertion anomaly and deletion anomaly are presented It is shown that a schema is in DKNF if and only if it has no insertion or deletion anomalies Unlike previously defined normal forms DKNF is not defined in terms of trad Slide . 1. Relation (Table). name. birth. gpa. grad. Anderson. 1987-10-22. 3.9. 2009. Jones. 1990-4-16. 2.4. 2012. Hernandez. 1989-8-12. 3.1. 2011. Chen. 1990-2-4. 3.2. 2011. VARCHAR(30). DATE. FLOAT. Seminar: Transaction Processing (Bachelor). SS 2009. Dennis . Stratmann. Outline. Goal and Overview. Examine Three Approaches to CC on RD:. 1. Predicate-Oriented Concurrency Control. 2. Relational Update Transactions. Chapter . 4. 4. -1. Learning Objectives. Explain the importance and advantages of databases, as well as the difference between database and file-based legacy systems.. Explain the difference between logical and physical views of a database.. An . entity. is anything about which the organization wishes to store data. At your college or university, one entity would be the student.. STUDENTS. Student ID. Last Name. First Name. Phone Number. Life Without Databases: Lists. Lists are often sufficient for simple tasks. Not appropriate for complex information. Multiple lists lead to. Data redundancy. Data inconsistency. Duplicate data. Sorting issues . Distinguish between the physical and logical views of . data.. Describe how data is organized: characters, fields, records, tables, and . databases.. Define key fields and how they are used to integrate data in a database.. Shortcomings of BCNF/4NF. Boyce-. Codd. Normal Form. Relation . R. with FDs is in BCNF if:. For each. . A .  . B. ,. . A. . is a key. Fourth Normal Form. Relation . R. with MVDs is in 4NF if:. Cse 344 May 7 th – Exam Review Examination Stations Exam Wednesday 9:30-10:20 One sheet of notes, front and back Practice solutions out after class Good luck! Exam Length Production v. Verification Non-Relational Databases Jeff Allen Overview Background Benefits Pitfalls Available Platforms Summary Overview Background Benefits Pitfalls Available Platforms Summary “A database is a collection of data.” Slide . 1. Relation (Table). name. birth. gpa. grad. Anderson. 1987-10-22. 3.9. 2009. Jones. 1990-4-16. 2.4. 2012. Hernandez. 1989-8-12. 3.1. 2011. Chen. 1990-2-4. 3.2. 2011. VARCHAR(30). DATE. FLOAT. Lecture 11 * Fall 2019 * Kesden. Socrative. https://api.socrative.com/rc/Nfu6Lp. Today’s Goals. A brief introduction to relational databases. A brief introduction to the SQL language used by relational databases. Stefano Grazioli. Critical thinking. ‘Big ERD’ graded. Questions about the next assignment. Identifying / non-identifying relationships. Regular class on Nov 22. 2. Literacy. Big data. Data lake. Chris . Ré. What this course is. Database fundamentals:. Theory. Old Crusty, Good SQL stuff. No/New/Not-Yet . SQL. New stuff: Knowledge bases & Inference. Databases is a strange and beautiful area: Theory, Algorithms, Systems, & .