PPT-Dikla grutman 2017 Databases-
Author : stefany-barnette | Published Date : 2018-10-29
presentation and training Databases Databases contain information gathered from thousands of scholarly journals books book series reports conferences and more Databases
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Dikla grutman 2017 Databases-" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Dikla grutman 2017 Databases-: Transcript
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 . Increasing Rigor and Inquiry Throughout the Curriculum. Donna Dick, Jacob . Gerding. , and Michelle Phillips. In-Service Objective. Participants will utilize the SIRS database in order to find and evaluate resources related to their curriculum.. 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. . grutman. 2016. Databases-. presentation and training. Databases. Databases contain information gathered from thousands of scholarly journals, books, book series, reports, conferences, and more. . What are databases?. Databases are a collection tables that are searchable. These databases are filled with periodical materials (newspapers, journals, magazines, and even blog posts). These databases prevent you from having to go from journal to journal by hand. 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. 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. 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.. ~Max Frisch. (Swiss playwright, novelist, philosopher, social critic). Contents. Citing Databases. General Info. MLA. APA. Visuals—Internal Citations. MLA. APA. Visuals—Bibliographic Citations. MLA. 17. Victor Matos. Cleveland State University. Notes are based on: . Android Developers . http://developer.android.com/index.html. 2. 17. Android – SQL Databases. Identify the Parts of a Database. Compare the Four . T. ypes of Databases. Explain Database . M. anagement . S. ystems. Discuss Important Types of Information Systems. List Examples of Databases . U. 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.. . By Prof. . B.A.Khivsara. . Note: The material to prepare this presentation has been taken from internet and are generated only for students reference and not for commercial use.. 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.. era. The rise of bioinformatics. An information explosion!. Bioinformatics. Computational tools are developed to collect, organize and analyze a wide variety of biological data. Advances in DNA sequencing technologies have accelerated the pace of discovery. Much of the process is now automated. .
Download Document
Here is the link to download the presentation.
"Dikla grutman 2017 Databases-"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents