Database Programming

Query by Example (QBE) is a database query language for relational databases. A QBE parser parses the search query and looks for the keywords. A more formal query string, in languages such as SQL, is then generated, which is finally executed. However, when compared with a formal query, the results in the QBE system will be more variable.

SQL (Structured Query Language) SQL is a set-based, declarative query language, not an imperative language such as C or BASIC. However, there are extensions to Standard SQL which add procedural programming language functionality, such as control-of-flow constructs

List the fields that you would expect to find in a database for a shop selling computer games.

Hierarchical jurisdiction refers to

differences in court functions and court

responsibilities with regard to specific

cases

•Two types: original and appellate

- If a court has original jurisdiction then that

court has the authority to try a case and

decide it (the origin of the case)

- If a court has appellate jurisdiction then

that court has the authority to review cases

which have already been reviewed by

other courts

Cardinality is the number of attributes in the table.

You look at all the people in the bracket.Then,you put everybody so they play or wrestle everybody

dBm is defined as power ratio in decibel (dB) referenced to one milliwatt (mW). It is an

abbreviation for dB with respect to 1 mW and the "m" in dBm stands for milliwatt.

dBm is different from dB. dBm represents absolute power, whereas in audio engineering the

decibel is usually a voltage ratio of two values and is used then to represent gain or attenuation

of an audio amplifier, or an audio damping pad.

Definition of a transaction:

1. the act of transacting or the fact of being transacted. 2. an instance or process of transacting something. 3. something that is transacted, esp. a business agreement. 4. Psychology. an interaction of an individual with one or more other persons, esp. as influenced by their assumed relational roles of parent, child, or adult. 5. transactions, the published records of the proceedings, as papers read, addresses delivered, or discussions, at the meetings of a learned society or the like. Hope this helps but if not broaden your question.

This is a very simple explanation.

A database is a collection of schemas.

A schema is a collection of tables.

A table is a collection of possibly unlimited rows organized into fields or more commonly called columns. Think of a spread sheet.

For example an inventory table might have columns ITEM_NUMBER, ITEM_NAME, and ITEM_QUANTITY.

ITEM_NUMBER is defined to store only whole numbers

ITEM_NAME is defined to store only letters and numbers up to the length of 20

ITEM_QUANTITY is defined to store only whole numbers

Here is some possible sample data

ITEM_NUMBER * ITEM_NAME * ITEM_QUANTITY

1001 * Washer Brass * 5044

1002 * Screw 4x40 stainless * 5027

1003 * Screw 6x40 stainless * 4947

So, to answer your question, a database column (or field) belongs to a table and has attributes that describe the column and what can be stored in the column.

Most companies keep track of their employees, their sales, inventory, etc etc. Pretty much every website that has you log in or post content stores all that information in a big database.

Insert apparently only works in the DetailView control, not in the GridView.

Also, I don't seem to be able to get edit to work with a View, only directly accessing a table data source.

A relational DB can consist of any number of tables.

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Two or more tables to establish a relationship. You cannot have a relationship with yourself ...

because im awesome

A dependency diagram is a visual representation of a dependency graph. Dependency diagrams are integral to software development, outlining the complex, interrelationships of various functional elements. Typically in a dependency diagram, arrows point from each module to other modules which they are dependent upon.The dependency diagram is used as an aid to normalization within database design.

* A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. * Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis. * Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time. * Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems. * Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. * Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals. * A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. * Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis. * Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time. * Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems. * Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. * Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals. * A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. * Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis. * Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time. * Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems. * Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. * Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals. * A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. * Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis. * Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time. * Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems. * Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. * A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. * Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis. * Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time. * Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems. * Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. * Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals. * A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. * Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis. * Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time. * Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems. * Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. * Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals. * A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. * Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis. * Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time. * Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems. * Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. * Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals. * A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. * Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis. * Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time. * Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems. * Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. * Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals. * A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. * Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis. * Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time. * Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems. * Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. * Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals. * A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. * Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis. * Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time. * Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems. * Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. * Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals.A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc. * Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis. * Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time. * Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems. * Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems. * Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals.

Yes! The master file of a DBMS is a data file containing relatively permanent

records that are generally updated periodically.

The transaction file is a temporary file that holds all changes to be made to the

master file, such as additions, deletions, and revisions.

A transaction file has to be sorted before it is used to update the master file.

By the way, I didn´t get your question, but I hope I helped =D

1. A data definition language 2. A data manipulation language 3. A data dictionary

-File structure is defined in the program code.

Single-valued attributes can have only one value

what i think,regrding the different types of DBMS based on the type of organisation of data are: 1)An Enterprise DBMS which is designed for scalability and high performance. It must be capable of supporting very large databases, a large number of concurrent users, and multiple types of applications. 2)A Departmental DBMS, sometimes referred to as a workgroup DBMS, supports small to medium sized workgroups within an organization, and typically runs on a Unix, Linux, or Windows 2000 (or NT) server. 3)A Personal DBMS is designed to be used by a single user, typically on a low- to medium-powered PC platform. A personal DBMS product is suited only for small scale projects and should not be used to deploy multi-user applications. 4)A Mobile DBMS is a specialized version of a departmental or enterprise DBMS. It is designed to be used by remote users who are not usually connected to the network(eg:laptop or handheld device, such as a Palm PDA or PocketPC). Furthermore, the mobile DBMS provides a mechanism for synchronizing remote database changes to a centralized, enterprise or departmental database server.

style sheet

You can sort the results of a query by using the order by clause.

Ex: Select * from tbl_employee order by emp_num

The above query would sort the results by the employee number and display them. The default sort is ascending order.

Ex: Select * from tbl_employee order by emp_num desc

The above query would sort the results by descending order of employee number and display them.

Bob made a transaction through his bank account, spent it all on waffle cones, and had to file bankruptcy because he bought an island as well as over four million waffle cones.

255 max for text

Modern databases do not have a preset number of fields. Rather, the data architect determines the needed tables and number of fields per table and declares that to the database software. Fields can--with some restrictions--also be added and removed later as needed. That said, each database application does have a maximum limit on the number of fields per table and the number of tables per database, which information has to come from the database manufacturer. But those limits are usually vastly greater than anyone might want. It is part of a computer and it has many fields.