PPT-Normalization of Database

Yong Choi School of Business CSUB 2 Study Objectives Understand what normalization is and what role it plays in database design Learn about the normal forms 1NF 2NF 3NF BCNF and 4NF Identify how normal forms can be transformed from lower normal forms to higher normal forms. M . Taimoor. Khan. taimoorkhan@ciit-attock.edu.pk. Course Objectives. Basic Concepts. Tools. Database architecture and design. Flow of data (DFDs). Mappings (ERDs). Formulating queries (Relational algebra). Sociophonetics. : An Introduction. Chapter 5: Vowels. Duration. Several uses in speech:. phonological contrasts in quantity (i.e., long vs. short vowels, tense vs. lax vowels, single vs. geminate consonants). O. N. N. HARIKA (CSC). NORMALIZATION. Normalization . We discuss four normal forms: first, second, third, and Boyce- Codd , fourth normal forms. 1NF, 2NF, 3NF, BCNF and 4NF.. Normalization. is a process that “improves” a database design by generating relations that are of higher normal forms.. Relatively . easy . example (whatis.com). What is normalization. An example. 1. st. . Normal Form. 2. nd. . Normal Form. 3. rd. . Normal . Form. 1. ISMT E-120. What is Normalization?. In . creating a database, normalization is the process of organizing it into tables in such a way that the results of using the database are always unambiguous and as intended. . Nigar. Sultana. 1. , Kenneth E. Bartels. 2. , G. Reed . Holyoak. 2 . , . Daqing. Piao. 1. and Jerry W. Ritchey . 3. 1. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK 74078, USA. CS838. . Motivation. Old school related concept:. Feature scaling . T. he . range of values of raw . training data often varies widely. Example: Has kids feature in {0,1}. Value of car: $500-$100’sk. BMI/IBGP 730 . . Kun Huang. Department of Biomedical Informatics. The Ohio State University. Autumn 2010. Introduction to . gene expression . microarray. A . middle-man’s . approach. Applications of microarray. 國立臺北科技大學. 課程：資料庫系統. 2015. . fall. 2. Purpose of Normalization. Normalization is a technique for producing a set of suitable relations that support the data requirements of an enterprise.. Download this presentation:. Ex Libris Knowledge Center > . Cross-Product > . Conferences and Seminars > . 2018 Technical Seminar. Welcome and Introductions. 2. Connie Braun. Implementation Services Manager. November 18, 2013. Data-driven Healthcare. Big Data . Knowledge. Research. Practice. Analytics. Domain Pragmatics. Experts. A framework for clinical data reuse. Replicate. Replicate. Query. Production Systems. Prajit Ramachandran. Outline. Optimization. Regularization. Initialization. Optimization. Optimization Outline. Gradient Descent. Momentum. RMSProp. Adam. Distributed SGD. Gradient Noise. Optimization Outline. Some slides adapted from . Navathe. et. Al. . Introduction to Database Security. Threats to databases. Loss of . integrity. Loss of . availability. Loss of . confidentiality. . To protect databases against these types of threats four kinds of countermeasures can be implemented:. for gene expression . profiles . of GSE15227. Array scale . quartile normalization . for gene expression . profiles . of . GSE34095. The 326 differentially. expressed genes . obtained from the annulus cells. John . Blischak. Welcome!. Goals!. Drive-by introduction to:. Cloud computing. Basic Illumina sequence quality evaluation & control. De novo . mRNAseq. assembly. A (our) “protocol” for . mRNAseq.