PPT-Dynamic Input with SQL Queries

A look into the options of dynamic SQL queries and their applied uses Preparing the SQL query The BEGINREPLACE and ENDREPLACE strings will be our targets for string replacement Preparing the Parameter CSV. :. A Practical Encrypted Relational DBMS. Raluca. . Ada. . Popa. , . Nickolai. . Zeldovich. ,. and . Hari. . Balakrishnan. MIT CSAIL. New England Database Summit 2011. Hackers. Curious DB administrators. joint work with Dan . Suciu. (University of Washington). Alexandra Meliou. Hypothetical (What-if. ). Queries. Brokerage company. DB. Key Performance Indicators (KPI). Example from [. Balmin. et al. VLDB’00]:. Virgílio Esteves. XVII Encontro – 29/11/2011. Virgílio Esteves. ID&T – Research Leader @HIS. . &. Founder of . NetPonto. Coimbra. C# / WPF / Silverlight / XNA / Azure. Challenges. Data Storage. Software-Defined Networks. Srinivas Narayana. Jennifer Rexford and David Walker. Princeton University. Where’s the packet loss?. A. B. Faulty network device(s) along the way. But where?. 2. 100 . pkts. Johannes . Gehrke. Department . of Computer Science, Cornell University . With . Gabriel Bender, Nitin Gupta, Lucja Kot, Sudip Roy (. Cornell) and . Milos Nikolic, Christoph Koch (EPFL) . Introduction to Entangled Queries . 2. What is SQL?. SQL stands for . Structured Query Language. . Allows us to access a database . ANSI and ISO standard computer language . The most current standard is SQL99. SQL can:. execute queries against a database . Saehoon Kim. §. , . Yuxiong He. *. ,. . Seung-won Hwang. §. , . Sameh Elnikety. *. , . Seungjin Choi. §. §. *. Web Search Engine . Requirement. 2. Queries. High quality + Low latency. This talk focuses on how to achieve low latency without compromising the quality. Jie Bao Chi-Yin Chow Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota – Twin Cities. Wei-Shinn Ku. Department of Computer Science and Software Engineering. Action Queries. CS1100. 1. Advanced Queries. Action Queries. So far we have used queries to extract and view data. But can also be . used to create tables, perform data entry, modify records, etc. .. SPARQL Endpoints. Dilshod IBRAGIMOV, KATJA HOSE, TORBEN BACH PEDERSEN, ESTEBAN ZIM. ÁNYI.. Earthquake . in the . Pacific in March 2011 tsunami a . Xun. Jiao. *. , Yu Jiang. +. , . Abbas. . Rahimi. $. , and Rajesh K. Gupta. *. *. University of California, San Diego. +. Tsinghua. University. $. University of California, Berkeley. Agenda. Motivation. Access. Control. Firewalls. Host. Hardening. Application Security. Data. Protection. Protect. Threat Environment. Incident Response. Planning & Policy. Plan. Respond. 2. Threat. Defense. 3. The Threats . Developers. Anil Desai (. Anil@AnilDesai.net. | . http://AnilDesai.net. ). Austin .NET User’s Group, 04/14/2014. Presentation Overview. Database Performance Goals and Challenges. Monitoring and Optimizing Performance. Saehoon Kim. §. , . Yuxiong He. *. ,. . Seung-won Hwang. §. , . Sameh Elnikety. *. , . Seungjin Choi. §. §. *. Web Search Engine . Requirement. 2. Queries. High quality + Low latency. This talk focuses on how to achieve low latency without compromising the quality.