Databases
... However, the term Geoinformationsystem implies some demands that exceed the storage and retrieval of data. These additional needs can be satisfied sensibly with database systems only. This lesson is focused on database concepts and architectures. After an introduction and the definition of some of t ...
... However, the term Geoinformationsystem implies some demands that exceed the storage and retrieval of data. These additional needs can be satisfied sensibly with database systems only. This lesson is focused on database concepts and architectures. After an introduction and the definition of some of t ...
mod-9
... Use the union rule to replace any dependencies in F a1 1 and a1 2 with a1 1 2 Find a functional dependency a with an extraneous attribute either in a or in /* Note: test for extraneous attributes done using Fc, not F*/ If an extraneous attribute is found, delete it from a until F ...
... Use the union rule to replace any dependencies in F a1 1 and a1 2 with a1 1 2 Find a functional dependency a with an extraneous attribute either in a or in /* Note: test for extraneous attributes done using Fc, not F*/ If an extraneous attribute is found, delete it from a until F ...
Chapter 21:Application Development and
... Structure design data hierarchically to support top-down decomposition or bottomup synthesis from primitive components or library of components ...
... Structure design data hierarchically to support top-down decomposition or bottomup synthesis from primitive components or library of components ...
SQL Queries
... Find the age of the youngest sailor with age > 18, for each rating with at least 2 sailors (of any age) SELECT S.rating, MIN (S.age) FROM Sailors S WHERE S.age > 18 GROUP BY S.rating HAVING 1 < (SELECT COUNT (*) FROM Sailors S2 WHERE S.rating=S2.rating) ...
... Find the age of the youngest sailor with age > 18, for each rating with at least 2 sailors (of any age) SELECT S.rating, MIN (S.age) FROM Sailors S WHERE S.age > 18 GROUP BY S.rating HAVING 1 < (SELECT COUNT (*) FROM Sailors S2 WHERE S.rating=S2.rating) ...
Handling of NULL Values in Preference Database Queries
... unlikely that all data for all attributes of a tour are always known. The column length contains two NULL entries, because it was not possible to determine the length of the tours. Furthermore users may fill a global database with their own hiking tours. If a hiking tourist wants to set the length b ...
... unlikely that all data for all attributes of a tour are always known. The column length contains two NULL entries, because it was not possible to determine the length of the tours. Furthermore users may fill a global database with their own hiking tours. If a hiking tourist wants to set the length b ...
Hybrid Row-Column Partitioning in Teradata
... store that allows for row and column partitioning and a mixed storage of both. First, we describe the Teradata Database parallel architecture and its main components. Then we discuss the key features and explain the implementation approach of data partitioning in Teradata. We also discuss several qu ...
... store that allows for row and column partitioning and a mixed storage of both. First, we describe the Teradata Database parallel architecture and its main components. Then we discuss the key features and explain the implementation approach of data partitioning in Teradata. We also discuss several qu ...
Lecture
... Create a select query to join tables (if needed). Click Query Wizard in the Other group of the Create tab. Select Crosstab Query Wizard in the New Query dialog box & click OK. Choose table/query with which to create a crosstab query & click Next. Choose the field(s) whose values will be used as row ...
... Create a select query to join tables (if needed). Click Query Wizard in the Other group of the Create tab. Select Crosstab Query Wizard in the New Query dialog box & click OK. Choose table/query with which to create a crosstab query & click Next. Choose the field(s) whose values will be used as row ...
How To Handle Missing Information Without Using NULL
... • Primary and foreign keys: can be done in SQL • Distributed keys: can be done in (awful) longhand, if at all • Distributed foreign keys can be done in (awful) longhand, if at all • Multiple assignment: hasn’t caught the attention of SQL DBMS vendors, but Alphora’s D4 supports it. • Recomposition qu ...
... • Primary and foreign keys: can be done in SQL • Distributed keys: can be done in (awful) longhand, if at all • Distributed foreign keys can be done in (awful) longhand, if at all • Multiple assignment: hasn’t caught the attention of SQL DBMS vendors, but Alphora’s D4 supports it. • Recomposition qu ...
Representing Weak Entity Sets
... lower-level entity set. condition-defined E.g. all customers over 65 years are members of seniorcitizen entity set; senior-citizen ISA person. user-defined Constraint on whether or not entities may belong to more than ...
... lower-level entity set. condition-defined E.g. all customers over 65 years are members of seniorcitizen entity set; senior-citizen ISA person. user-defined Constraint on whether or not entities may belong to more than ...
Slides from Lecture 20 - Courses - University of California, Berkeley
... records of S.F. Bay Area streets along with the 70,000-records from the USGS GNIS database. California Dams is a database of information about the 1395 dams under state jurisdiction. An additional 11 GB of geographical data represents maps and imagery that have been processed for inclusion as layers ...
... records of S.F. Bay Area streets along with the 70,000-records from the USGS GNIS database. California Dams is a database of information about the 1395 dams under state jurisdiction. An additional 11 GB of geographical data represents maps and imagery that have been processed for inclusion as layers ...
A Modular Query Optimizer Architecture for Big Data - CMU 15-721
... Processing analytics queries on Hadoop is becoming increasingly popular. Initially, the queries were expressed as MapReduce jobs and the Hadoop’s appeal was attributed to its scalability and fault-tolerance. Coding, manually optimizing and maintaining complex queries in MapReduce though is hard, thu ...
... Processing analytics queries on Hadoop is becoming increasingly popular. Initially, the queries were expressed as MapReduce jobs and the Hadoop’s appeal was attributed to its scalability and fault-tolerance. Coding, manually optimizing and maintaining complex queries in MapReduce though is hard, thu ...
Chapter 4: Advanced SQL
... SQL Call Level Interface (CLI) standard similar to ODBC interface, but ...
... SQL Call Level Interface (CLI) standard similar to ODBC interface, but ...
Module 1: Introduction
... SQL Call Level Interface (CLI) standard similar to ODBC interface, but ...
... SQL Call Level Interface (CLI) standard similar to ODBC interface, but ...
Theme: Production Management - Overview
... Cardinality ratio specifies the number of relationship instances that an entity can participate in. The cardinality ratios between relationships are: Cardinality ratio ...
... Cardinality ratio specifies the number of relationship instances that an entity can participate in. The cardinality ratios between relationships are: Cardinality ratio ...
Data Naming Standards - Province of British Columbia
... Data naming Standards were written and are used to develop consistent names for data components and for the development and implementation of systems in the sector. When naming standards are used, any person working with these data components can make intelligent assumptions on the nature of the dat ...
... Data naming Standards were written and are used to develop consistent names for data components and for the development and implementation of systems in the sector. When naming standards are used, any person working with these data components can make intelligent assumptions on the nature of the dat ...
Amoeba Join: Overcoming Structural Fluctuations
... studies used variations of the least common ancestor method (lca) to find the smallest tree containing all target nodes. Among the lca nodes that connect common node sets (tags or keywords), the one that forms the smallest subtree is defined as the smallest least common ancestor (slca) [11]. The pre ...
... studies used variations of the least common ancestor method (lca) to find the smallest tree containing all target nodes. Among the lca nodes that connect common node sets (tags or keywords), the one that forms the smallest subtree is defined as the smallest least common ancestor (slca) [11]. The pre ...
A Database Clustering Methodology and Tool
... {400, 70, 200} for the amount attribute might represent three purchases, 400, 70, and 200 dollars by the customer “Johny”. Ryu and Eick [Ryu98c] call such a data set in Figure 1 (c), a multivalued data set and use term single-valued data set for the traditional flat files in (a) or (b). They use cur ...
... {400, 70, 200} for the amount attribute might represent three purchases, 400, 70, and 200 dollars by the customer “Johny”. Ryu and Eick [Ryu98c] call such a data set in Figure 1 (c), a multivalued data set and use term single-valued data set for the traditional flat files in (a) or (b). They use cur ...
What is data? Databases - Introduction
... Relational Model Object-Relational Model Object-Oriented Model The hierarchical and network models are older models that provide only limited functionality, while the object-oriented model is not yet practical. ...
... Relational Model Object-Relational Model Object-Oriented Model The hierarchical and network models are older models that provide only limited functionality, while the object-oriented model is not yet practical. ...