PPT-Dikla grutman 2017 Databases-

presentation and training Databases Databases contain information gathered from thousands of scholarly journals books book series reports conferences and more Databases can be used for narrowing enlarging the research topic verifying citations and protocols patent search . Disk Access time Memory is faster than disk Access pattern Memory is better for random access than disks Stableness Memory is volatile Disk is nonvolatile Security Memory is more vulnerable to software errors 15823 April 5 2001Mengzhi Wang 4 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. Best . Frienemies. Lisa Gardner. Premier Field Engineer. Microsoft. Who am I ? What is PFE?. Lisa Gardner aka . SQLGardner. Production DBA for 13 years prior to joining . Msft. Working with SQL since 6.5. Hadoop. Spring 2012. Aviram. . Rehana. Lior. Zeno. Supervisor : Edward . Bortnikov. Agenda. The problem and . motivation. Background on databases’ access. What is done so far. Project goals. Effort assessment and roadmap . Jane Long. MLIS, University of Oklahoma. MA, Wright State University. Reference Services Librarian. Al Harris Library . jane.long@swosu.edu. How do I get started?. 1. . Keywords. 2. Boolean Operators. Park & Recreation. Database, Periodicals & Searching . Techniques. Frederic Murray. Assistant Professor. MLIS, University of British Columbia. BA, University of Iowa. Instructional Services Librarian. Tour of the major . molecular biology databases. A database is an . indexed. . collection. of information. There is a tremendous amount of information about biomolecules in publicly available databases. . . grutman. 2016. Databases-. presentation and training. Databases. Databases contain information gathered from thousands of scholarly journals, books, book series, reports, conferences, and more. . Unit Contents. Section A: Database Basics. Section B: Database Tools. Section C: Database Design. Section D: SQL. Section E: Big Data. Unit 10: Databases. 2. Section A: Database Basics . Operational and Analytical Databases. 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 . ~Max Frisch. (Swiss playwright, novelist, philosopher, social critic). Contents. Citing Databases. General Info. MLA. APA. Visuals—Internal Citations. MLA. APA. Visuals—Bibliographic Citations. MLA. Jessica DeCaro, MLIS. WHY?. Because… searching for information should . not. make you feel like this!. Cleveland Health Sciences Library. There are many libraries on campus – . -but only one is dedicated to supporting the educational goals and information needs of those engaged in education, research and practice in the health sciences.. UNIT IV. DATABASE. A database is a . computarised. library used to store and organize data in such a way that information can be retrieved easily via a variety of search criteria.. The development of databases to handle the vast amount of molecular biological data is a fundamental task of bioinformatics..