Corporate PPT Template
... feature. The elapsed time for the database upgrade was about 3 hours. But applications were available for all but less than 2 minutes while a Data Guard switchover was executed, quickly transitioning production from the previous database release to Oracle Database 10g Release 2.” - Werner Kawollek A ...
... feature. The elapsed time for the database upgrade was about 3 hours. But applications were available for all but less than 2 minutes while a Data Guard switchover was executed, quickly transitioning production from the previous database release to Oracle Database 10g Release 2.” - Werner Kawollek A ...
A Technical Overview of SQL 2005 High Availability Features
... against application, user, or administrative error • Use the new optimistic concurrency controls and ONLINE index operations to reduce database ...
... against application, user, or administrative error • Use the new optimistic concurrency controls and ONLINE index operations to reduce database ...
Normalization
... of normalization is to ensure that all tables are in at least 3NF Higher forms are not likely to be encountered in business environment Normalization works one relation at a time Progressively breaks table into new set of relations based on identified dependencies Database Systems, 9th Edition ...
... of normalization is to ensure that all tables are in at least 3NF Higher forms are not likely to be encountered in business environment Normalization works one relation at a time Progressively breaks table into new set of relations based on identified dependencies Database Systems, 9th Edition ...
Fundamentals of Database Systems
... Views defined using groups and aggregate functions are not updateable Views defined on multiple tables using joins are generally not updateable WITH CHECK OPTION: must be added to the definition of a view if the view is to be updated to allow check for updatability and to plan for an execution strat ...
... Views defined using groups and aggregate functions are not updateable Views defined on multiple tables using joins are generally not updateable WITH CHECK OPTION: must be added to the definition of a view if the view is to be updated to allow check for updatability and to plan for an execution strat ...
Slide 1 - DBMS 2
... High-end OLTP/general-purpose DBMS Mid-range OLTP/general-purpose DBMS Row-based analytic RDBMS Column- or array-based analytic RDBMS Text search engines XML and OO DBMS (but these may merge with search) RDF and other graphical DBMS (but these may merge with ...
... High-end OLTP/general-purpose DBMS Mid-range OLTP/general-purpose DBMS Row-based analytic RDBMS Column- or array-based analytic RDBMS Text search engines XML and OO DBMS (but these may merge with search) RDF and other graphical DBMS (but these may merge with ...
Normalization of Database Tables
... • A relational table must not contain repeating groups. • Repeating groups can be eliminated by adding the appropriate entry in at least the primary key column(s). ...
... • A relational table must not contain repeating groups. • Repeating groups can be eliminated by adding the appropriate entry in at least the primary key column(s). ...
COMP3017 Advanced Databases Introduction
... – Specifying the data types, structures and constraints for the data to be stored – Construct the database – Store the data on some storage medium that is controlled by the DBMS – Manipulate the database – Querying to retrieve specific data, updating to reflect changes in the model of the real world ...
... – Specifying the data types, structures and constraints for the data to be stored – Construct the database – Store the data on some storage medium that is controlled by the DBMS – Manipulate the database – Querying to retrieve specific data, updating to reflect changes in the model of the real world ...
Database Design: DBS CB, 2nd Edition
... View Usage - Independence Isolate applications from changes in definitions of base tables Example ...
... View Usage - Independence Isolate applications from changes in definitions of base tables Example ...
Distributed Database Design
... Cartesian product of the sets Each set has values from a domain That domain is used in a specific role which is the attribute name Given R(A1, A2, .........., An) r(R) dom (A1) X dom (A2) X ....X dom(An) ...
... Cartesian product of the sets Each set has values from a domain That domain is used in a specific role which is the attribute name Given R(A1, A2, .........., An) r(R) dom (A1) X dom (A2) X ....X dom(An) ...
Supporting Join Queries
... If there are > 1 relevant producers, then our mediator probably needs an execution engine! - HARD! In any case, we know that some R-GMA users are defining Archivers and querying these directly. However: ...
... If there are > 1 relevant producers, then our mediator probably needs an execution engine! - HARD! In any case, we know that some R-GMA users are defining Archivers and querying these directly. However: ...
Document
... problem rather than defining a solution. The most popular language used to create, modify, and retrieve data from relational databases. ...
... problem rather than defining a solution. The most popular language used to create, modify, and retrieve data from relational databases. ...
Best Practices for your DB2 UDB database system by Dwaine R
... configuration • When tuning, change one parameter at a time, and ...
... configuration • When tuning, change one parameter at a time, and ...
Web Application Programming
... Microsoft has Access for Windows computers. MySQL is open source and has more than 11 million installations world-wide. Oracle is a widely used proprietary database developed by the Oracle Corporation. Rails comes with sqlite3. There are many more. ...
... Microsoft has Access for Windows computers. MySQL is open source and has more than 11 million installations world-wide. Oracle is a widely used proprietary database developed by the Oracle Corporation. Rails comes with sqlite3. There are many more. ...
lecture-5
... Efficient time management of Hardware (CPU), programmer(s), analyst(s) and user(s). Relational DBs use Normalisation to reduce data redundancy. ...
... Efficient time management of Hardware (CPU), programmer(s), analyst(s) and user(s). Relational DBs use Normalisation to reduce data redundancy. ...
www.spatial.cs.umn.edu
... 3. ‘Basic Concepts’. Retrived from: https://developer.mozilla.org/enUS/docs/Web/API/IndexedDB_API/Basic_Concepts_Behind_IndexedDB ...
... 3. ‘Basic Concepts’. Retrived from: https://developer.mozilla.org/enUS/docs/Web/API/IndexedDB_API/Basic_Concepts_Behind_IndexedDB ...
CHAPTER 3
... In this chapter a framework for classifying different aspects of heterogeneity in data sets is proposed, relating the various aspects of heterogeneity discussed by different researchers to this framework. The idea behind such a framework is to identify a comprehensive range of different types of het ...
... In this chapter a framework for classifying different aspects of heterogeneity in data sets is proposed, relating the various aspects of heterogeneity discussed by different researchers to this framework. The idea behind such a framework is to identify a comprehensive range of different types of het ...
Fact Table
... • The lower the granularity, the larger the fact table. • In the previous example, moving from a daily to weekly grain would reduce the potential number of records to only slightly more than 52,000,000 records (500 products x 200 stores x 10 years x 52 weeks) • The data types for the fields in the f ...
... • The lower the granularity, the larger the fact table. • In the previous example, moving from a daily to weekly grain would reduce the potential number of records to only slightly more than 52,000,000 records (500 products x 200 stores x 10 years x 52 weeks) • The data types for the fields in the f ...
doc
... you may cut and paste; however, make sure you read it line by line and understand it thoroughly. (1) Try to understand well how the programs work A possible proof of your understanding is given by the fact that you are able to modify the program to perform other tasks. (2) Once you have understood t ...
... you may cut and paste; however, make sure you read it line by line and understand it thoroughly. (1) Try to understand well how the programs work A possible proof of your understanding is given by the fact that you are able to modify the program to perform other tasks. (2) Once you have understood t ...
What Are Fact Types?
... (tables, classes, etc.) is not a conceptual issue Fact-orientation is at a level above object-orientation Here is where domain expert and modeler ...
... (tables, classes, etc.) is not a conceptual issue Fact-orientation is at a level above object-orientation Here is where domain expert and modeler ...
slides
... Chapter 6 Foundations of Business Intelligence: Databases and Information Management Using Databases to Improve Business Performance and Decision Making ...
... Chapter 6 Foundations of Business Intelligence: Databases and Information Management Using Databases to Improve Business Performance and Decision Making ...
ppt
... • Example: web site browsing behavior – Web User dimension (= Customer dimension) – Unregistered users • User identity tracked over time via cookies • Limited information available – First active date, Latest active date, Behavioral attributes – Possibly ZIP code through IP lookup ...
... • Example: web site browsing behavior – Web User dimension (= Customer dimension) – Unregistered users • User identity tracked over time via cookies • Limited information available – First active date, Latest active date, Behavioral attributes – Possibly ZIP code through IP lookup ...
Databases and Information Management
... • What was the impact of data quality problems on the companies described in this case study? What management, organization, and technology factors caused these problems? • How did the companies described in this case solve their data quality problems? What management, organization, and technology i ...
... • What was the impact of data quality problems on the companies described in this case study? What management, organization, and technology factors caused these problems? • How did the companies described in this case solve their data quality problems? What management, organization, and technology i ...
Automatically Mapping and Integrating Multiple Data Entry Forms
... database in the same domain. The solution comprises of two components: tree extraction and form integration. The tree extraction component leverages a probabilistic process, Hidden Markov Model (HMM), for automatically extracting a semantic tree structure of a form. In the form integration component ...
... database in the same domain. The solution comprises of two components: tree extraction and form integration. The tree extraction component leverages a probabilistic process, Hidden Markov Model (HMM), for automatically extracting a semantic tree structure of a form. In the form integration component ...
Management Information Systems Chapter 6 Foundations of
... Chapter 6 Foundations of Business Intelligence: Databases and Information Management Using Databases to Improve Business Performance and Decision Making ...
... Chapter 6 Foundations of Business Intelligence: Databases and Information Management Using Databases to Improve Business Performance and Decision Making ...
Relational model
The relational model for database management is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in 1969 by Edgar F. Codd. In the relational model of a database, all data is represented in terms of tuples, grouped into relations. A database organized in terms of the relational model is a relational database.The purpose of the relational model is to provide a declarative method for specifying data and queries: users directly state what information the database contains and what information they want from it, and let the database management system software take care of describing data structures for storing the data and retrieval procedures for answering queries.Most relational databases use the SQL data definition and query language; these systems implement what can be regarded as an engineering approximation to the relational model. A table in an SQL database schema corresponds to a predicate variable; the contents of a table to a relation; key constraints, other constraints, and SQL queries correspond to predicates. However, SQL databases deviate from the relational model in many details, and Codd fiercely argued against deviations that compromise the original principles.