When it comes to distinguishing databases from regular text documents, the crucial concepts are "Records" and "Fields". These are the fundamental elements that set databases apart from other forms of unorganized information.
In a database, a record refers to a specific piece of information, and there can be numerous records within a single database. Each record comprises various individual fields that contain distinct data points.
Options for Identifying Records
" - Use a symbol or group of symbols to identify the beginning of a record. For instance, you can specify "<TR" as a record identifier if you know that it indicates the start of a new record in your database. Refer to the "bizcard.cnd" example.
" - Use a symbol to identify the end of a record. Options for Identifying Fields
Field Identifier- refers to a set of values that define the arrangement of fields in documents.
For instance, you can specify "mailto:" as a field identifier if you know that it will be followed by an email address.
Refer to the "bizcard.cnd" example.
The following parameters can be used to adjust a data search: Field Name
- Enter any name you want to give to the field. Field Begin
- Specify a symbol that identifies the beginning of a field. It allows you to define the set of symbols after which the database field's value will follow. Field End
- Specify a symbol that identifies the end of a field. The field value will be located in front of this symbol. In the "bizcard.cnd" example, this parameter is "<". Identifier Number
- Use this option when there are multiple identifiers that are the same within a single record. Number of Symbols
- Use this option when there is a large amount of text following the field identifier. Number of Words
- Specify the number of words that should be considered the field value after the Field Begin identifier. Number of Lines
- Specify the number of lines after the Field Begin identifier of the field to be extracted. Line Number
- Specify the line number after the Field Begin identifier of the field to be analyzed. Unique
- If you want your database to contain only unique records, select this option. Double-click the mouse on this cell to initiate a unique record search. DB Maker - The ultimate tool for automated data extractionDB Maker
is a versatile tool that simplifies the process of data mining and data scraping. It is a powerful tool that can perform a wide range of functions, including marketing, order processing, email messaging and distribution, subscriber database setup, automated email sending, information transfer from email clients, recruitment and job resume database setup, stock quotation and offer processing, website statistical data analysis, database setup, catalog and list systematization, and processing raw and random data downloaded from the internet.
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