PPT-Open Dialogue Management for Relational Databases

Ben Hixon Rebecca J Passonneau Jee Hyun Wang Information Access Power versus Accessibility Power powerful semantics requires expertise RDBs Ontologies Accessibility easy for most users lacks portability. 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.. A . collection of related data . [. Elmasri. ]. .. A database represents some aspect of real world called “. miniworld. ” . [. Elmasri. ]. or “. enterprise. ”. [. Ramakrishnan. ].. A database can be of any size and of varying complexity.. 1. Managing Data. The Database . Approach. Big . Data. Data Warehouses and Data Marts. Knowledge Management. 2. Discuss ways that common challenges in managing data can be addressed using data governance.. 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.. 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.