'Select sum' diaporamas de présentation

Computational Divided Differencing

Computational Divided Differencing. Thomas Reps University of Wisconsin. Joint work with Louis B. Rall. Program Transformation. Transform F ? F # For all x , F ( x ) and F # ( x ) perform related computations Sometimes F # needs x to be preprocessed F # ( h ( x ) ).

1.14k views • 105 slides

Chapter 2

Chapter 2. Performing Advanced Queries Using PROC SQL. Displaying All Columns. To select all columns included in a table use one of two options List all variables from the table in the select clause The order of the columns will be based on the order the columns appear in the select clause

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Lecture 03: SQL

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Lecture 03: SQL

436 views • 43 slides

PIRS: Query Verification on Data Streams

PIRS: Query Verification on Data Streams. Ke Yi, Hong Kong University of Science and Technology Feifei Li, Florida State University Marios Hadjieleftheriou, AT&T Labs George Kollios, Boston University Divesh Srivastava, AT&T Labs.

502 views • 40 slides

Introduction to Database Systems CSE 444 Lecture 03: SQL

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Vistec Semiconductor Sysetms

Vistec Semiconductor Sysetms. Group 6 Ding Chen Yee Wan Cheung Roya Pakzad Zach Rabinovich Megan Whittey. Visctec Company Profile. Vistec produces all its products in Germany

450 views • 25 slides

Lecture 03: SQL

Lecture 03: SQL. Monday, January 9, 2006. Project. http://iisqlsrv.cs.washington.edu/444/Project/Default.aspx Phase 0: form groups of two. 1/11 Phase 1: design database. 1/25 Phase 2: import data, provide logic. 2/8 Phase 3: checkout logic. 2/22 Phase 4: publish/consume XML data. 3/8.

342 views • 24 slides

Improved Query Performance With Variant Indexes

249 views • 24 slides

Concurrency Control

Concurrency Control. Managing Hierarchies of Database Elements (18.6). Presented by Sarat Dasika (114 ) February 16, 2012. Agenda. Managing Hierarchies of Database Elements Locks with Multiple Granularity Warning (Intention) Locks Database Elements Organized in Hierarchy

406 views • 18 slides

Writing Efficient SQL

Writing Efficient SQL. Creating and Tuning SQL Queries that Engage Users. Goal. Develop queries that perform well Develop queries that scale well Develop queries that are concise and easy to debug Develop queries that use the data model efficiently. General tips. Using table aliases

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Triggers and Transactions

Triggers and Transactions. Making Decisions behind the scene. Overview. Majority of databases are used behind some form of front-end application Applications can be written to contain DBMS rules for data flow and storage

198 views • 11 slides

Advanced SQL

Advanced SQL. Murat Kantarcioglu Adapted from Silberchatz et al. slides. NULL Values. It is possible for tuples to have a null value, denoted by null , for some of their attributes null signifies an unknown value or that a value does not exist.

262 views • 11 slides