'Complex queries' diaporamas de présentation

The Semantic Web and (vs?) Knowledge Representation ENC 2004, September 2004

The Semantic Web and (vs?) Knowledge Representation ENC 2004, September 2004. Peter F. Patel-Schneider Bell Labs Research Murray Hill, NJ, USA pfps@lucent.com. Abstract.

867 views • 69 slides

The Semantic Web and (vs?) Knowledge Representation ENC 2004, September 2004

The Semantic Web and (vs?) Knowledge Representation ENC 2004, September 2004. Peter F. Patel-Schneider Bell Labs Research Murray Hill, NJ, USA pfps@lucent.com. Abstract.

930 views • 69 slides

Multi Feature Indexing Network MUFIN Similarity Search Platform for many Applications

Multi Feature Indexing Network MUFIN Similarity Search Platform for many Applications. Pavel Zezula Faculty of Informatics Masaryk University, Brno. Outline of the talk. Why similarity Principles of metric similarity searching The MUFIN approach Demo applications Future directions.

813 views • 64 slides

Customizing and Extending Microsoft Office SharePoint Search

Customizing and Extending Microsoft Office SharePoint Search. Tom Rizzo Director, SharePoint thomriz@microsoft.com. Session Objectives. Session Objectives: Modify the SharePoint Server search UI Consume SharePoint Search within external applications

724 views • 50 slides

Best Practices for Query Performance In a Data Warehouse

696 views • 41 slides

Chapter 5

Chapter 5. Structured Query Language (SQL) Database Systems: Design, Implementation, and Management, Fifth Edition, Rob and Coronel. In this chapter, you will learn:. The basic commands and functions of SQL How SQL is used for data manipulation (to add, modify, delete, and retrieve data)

521 views • 39 slides

Chapter 5 More SQL: Complex Queries, Triggers, Views, and Schema Modification

Chapter 5 More SQL: Complex Queries, Triggers, Views, and Schema Modification. Chapter 5 Outline. More Complex SQL Retrieval Queries Specifying Constraints as Assertions and Actions as Triggers Views (Virtual Tables) in SQL Schema Change Statements in SQL. More Complex SQL Retrieval Queries.

501 views • 39 slides

Startup Technology Pitfalls and How to Avoid them

Startup Technology Pitfalls and How to Avoid them. BRYAN SHORT. Office Windows Casual Games Xbox Live. Originally from California Graduated from UCLA 9 years at Microsoft. BIG BETS. BIG BETS. Architecture Technical Stack Storage. BIG BETS - Architecture. BIG BETS - CLOUD.

539 views • 39 slides

Domain Driven Design

724 views • 32 slides

11g(R1/R2) Data guard Enhancements Suresh Gandhi

11g(R1/R2) Data guard Enhancements Suresh Gandhi. Agenda. What is DATA GUARD ? Types of Data Guard Databases 11g Release 1 Enhancements 11g Release 2 Enhancements Active Data guard Snapshot Standby Database More Features Rolling Upgrade and Physical Standby Q&A. Data Guard Overview.

524 views • 27 slides

Query Library 101 for Advisors

344 views • 27 slides

AXML

474 views • 25 slides

Market Information Provision Initiative Phase 2

Market Information Provision Initiative Phase 2. Nolan Robertson Market Information Team Leader. Introduction. Introduction. November 2007 - MIPI Phase 1 delivered - Prevailing View replaced the Daily Summary report

360 views • 24 slides

Enabling complex queries to drug information sources through functional composition

Medinfo 2013 Copehangen , Denmark Session: Data models and representations - I August 21, 2013. Enabling complex queries to drug information sources through functional composition. Olivier Bodenreider Lister Hill National Center for Biomedical Communications Bethesda, Maryland - USA.

298 views • 20 slides

IST359 M005

SQL Programming And The External Model. IST359 M005. Yang Wang ywang@syr.edu 342 Hinds http://blackboard.syr.edu. Acknowledgements and caveat. These slides draw liberally, with permission, from the following sources: IST359 materials by Prof. Michael Fudge Jr.

272 views • 18 slides

SQL Tuning

SQL Tuning. Optimizer Tasks. Oracle optimizer performs the following functions when evaluating a SQL statement: Evaluates the expressions and conditions contained in the SQL statement Transforms complex queries into an equivalent join query

499 views • 14 slides

GridMon

GridMon. EGEE JRA4 R-GMA workshop Thursday 22 nd July 2004 University College London. Mark Leese. Contents. Very simple (like me ;-) GridMon: where it has come from how it works what it does where it is going Conclusion Lots of questions. Project: brief.

281 views • 12 slides

One Platform for Mining Structured and Unstructured Data: Dream or Reality?

One Platform for Mining Structured and Unstructured Data: Dream or Reality?. VLDB Panel 13 Sep 2006 Jayavel Shanmugasundaram Yahoo! Research. 10000 Foot View of Data Management. Ranked Keyword Search. Search Engines. Queries. Complex and Structured. Database Systems. Structured.

252 views • 11 slides

Pervasive Data Access (PDA) Research Group

Pervasive Data Access (PDA) Research Group. Mei Li Pennsylvania State University. Overview. Investigate various research issues involving data access and management in a wide spectrum of pervasive/mobile computing and networking environments peer-to-peer networks mobile ad-hoc networks

319 views • 7 slides

SQL Playbook

223 views • 4 slides