interpret_operation_replace_unknown_values

operation, name, details, details2
"replace_unknown_values", attributes, value)

internal

Data in multidimensional systems is obtained from operational
systems and is transformed to adapt it to the new structure.
Frequently, the operations to be performed aim to transform a flat
table into a ROLAP (Relational On-Line Analytical Processing) star
database. The main objective of the package is to allow the definition
of these transformations easily. The implementation of the
multidimensional database obtained can be exported to work with
multidimensional analysis tools on spreadsheets or relational
databases.

Jose Samos

rolap

Obtaining Star Databases from Flat Tables

Universidad de Granada 

interpret_operation_replace_unknown_values function

<dl><dt>ft</dt>
<dd>flat table</dd>
<dt>op</dt>
<dd>operation</dd>
<dt>file</dt>
<dd>file to write the code</dd>
<dt>last_op</dt>
<dd>A boolean, is the last operation?</dd></dl>

Arguments

Interpret operation — interpret_operation_replace_unknown_values

<dl>

<dt>ft</dt>
<dd>flat table</dd>


<dt>op</dt>
<dd>operation</dd>


<dt>file</dt>
<dd>file to write the code</dd>


<dt>last_op</dt>
<dd>A boolean, is the last operation?</dd>

</dl>

interpret_operation_replace_unknown_values: Interpret operation

Description

Usage

Value

Arguments