PPT-Chapter 5: Physical Database Design and Performance

Jason C H Chen PhD Professor of MIS School of Business Administration Gonzaga University Spokane WA 99258 chenjepsongonzagaedu Objectives Definition of terms Describe the physical database design process.  Steve Carroll. Senior Development Lead. Microsoft Corporation.  Ed Glas. Principal Group Manager. Microsoft Corporation. TL24. Performance lifecycle. Diagnosing common .NET . performance problems. Basic SQL. Database Design -- Basic SQL. 1. Chapter 4 Outline. SQL Data Definition and Data Types. Specifying Constraints in SQL. Basic Retrieval Queries in SQL. INSERT. , . DELETE. , and . UPDATE. Statements in SQL. Performance Tuning. Overview. Performance tuning methodologies . Instance level. Database level. Application level. Overview of tools and techniques for performance analysis and tuning. Tuning Methodologies — Tuning While Building. Dynamics NAV system’s performance. Hynek Muhlbacher. Ludo Van den Ende. SQL Perform. 2. Passionate about your system performance!. 3. SQL Perform Partners. 4. And many more! . Apologies to the ones being here and not being on the slide!. (AKA I can . prove. it’s not my system’s fault!). August 4, 2012. David Klee . –. . Solutions Architect (@. kleegeek. ). About. House of Brick. 14 year old Omaha-based company . Leader: Tier-1 VMware, Database Performance. Functional Dependences. Normal Forms. D. Christozov / G.Tuparov. INF 280 Database Systems: DB design: Normal Forms. 1. Objectives. Purpose of normalization.. Problems associated with redundant data.. Bill Gibson. Principal Program Manager, Microsoft. DBI-B210. Session Objective and Key . T. akeaway. Understand the positioning and key benefits of the Microsoft Azure SQL Database platform. An enterprise-grade database-as-a-service platform with easily accessible . The Database Environment and Development Process. Modern Database Management. 12. th. Edition. Jeff Hoffer, Ramesh . Venkataraman. , . Heikki. . Topi. . Definitions. Database: organized collection of logically related data. Kittelson & Associates, Inc.. University of Utah. January 2014. 1. Presentation Outline. Project Background and Overview. Information Gathering. Project Work Plan. NCHRP Report. 2. Presentation Outline. Introduction. Indexes. . used to speed up record retrieval in response to certain search conditions. Index structures provide secondary access paths. Any field can be used to create an index. Multiple indexes can be constructed. Modern Database Management. 12. th. Edition. Jeff Hoffer, Ramesh . Venkataraman. , . Heikki. . Topi. . Objectives / . Self-study outline. Define . terms (Slides #3-6). Name limitations of conventional file . 1. Algorithms and Data Structures for Fast Routing to Handle Increasing Design Complexity . Dirk Mueller (Post-doctoral Researcher). DE. Univ. of Bonn. mueller@or.uni-bonn.de. Bonn. n/a. US. Shankar . Enhancing Application Performance. Presented by: Steve . Seaney. & Chris . Shaffer. Agenda. Survey. Why Performance is Important. Improving Performance. Monitoring Performance. Real-world Cases. Outline. Performance Tuning. Performance Benchmarks. Standardization. E-Commerce. Legacy Systems. Hardware Tuning: Choice of RAID Level. To use RAID 1 or RAID 5?. Depends on ratio of reads and writes.