L09 loading data

9Copyright © 2008, Oracle. All rights reserved.

Loading Data

Copyright © 2008, Oracle. All rights reserved.

Objectives

At the end of this lesson, you should be able to:

• Describe the format of a data load file

• Understand Financial Management data storage and retrieval

• Identify guidelines for managing performance

• Load data from a file

• Extract data

• Export data with Extended Analytics

• Copy data within a database from one location to another

• Remove data from a database


Data Load Files

A data load file contains sections that map the file data to Financial Management dimensions.


Group Dimension Section

Sets the point of view for the data records.


Data Section

Represents data values for one

or more periods.


Line-Item Detail Section

Line-item descriptions are enclosed in quotation marks.


Submission Phase Section

You can load assignments of submission groups to phases.


Column Order

Specifies the order of the dimensions in the data section.


Financial Management Data Storage and Retrieval

Parent Currency

California, Actual, 2008

Entity Currency Proportion


Subcube Dimensions and Performance

• Aggregations and calculations are most efficient when all members needed are preloaded in RAM.

• The subcube structure is designed to preload the members most likely to be needed for calculations and aggregations.

• Each subcube contain all members of the Account, ICP, View, and custom dimensions.

Account ICP C1 C2 C3 C4 View Period

NetSales [ICP None] [None] Wood Retail [None] Periodic April 300

GrossSales [ICP None] [None] Wood Retail [None] Periodic April 350

Discount [ICP None] [None] Wood Retail [None] Periodic April 25

Returns [ICP None] [None] Wood Retail [None] Periodic April 25

California, Actual, 2008, Entity Currency


Guidelines for Managing Performance

This data grid opens 14 subcubes in memory, one for each entity.


Loading Data from a File


Merge Option: Overwriting Application Data with Load File Data

Application

Account Value

Sales 100

Returns 20

Purchases No Data

Results of Load

Account Value

Sales 50

Returns 20

Purchases 30

Data Load File

Account Value

Sales 50

Purchases 30


Replace Option: Replacing Data with Load Data File

Application

Account Value

Sales 100

Returns 20

Purchases No Data

Results of Load

Account Value

Sales 50

Returns No data

Purchases 30

Data Load File

Account Value

Sales 50

Purchases 30


Accumulate Option: Accumulating Application Data with Load File Data

Application

Account Value

Sales 100

Returns 20

Purchases No Data

Results of Load

Account Value

Sales 150

Returns 20

Purchases 30

Data Load File

Account Value

Sales 50

Purchases 30


Accumulate Within File Option: Loading Totals into Applications

• Merge with Accumulate within File

• Replace with Accumulate within File

Merge with Accumulate within File

Application

Account Value

Sales 100

Returns 20

Purchases No DataResults of Load

Account Value

Sales 110

Returns 20

Purchases No data

Data Load File

Account Value

Sales 50

Sales 60


Extracting Data

Numbers in parentheses indicate that multiple members are selected.


Exporting Data with Extended Analytics

An Extended Analytics star schema enables you to use Essbase to analyze data and produce reports.


Copying Data

The number of source and destination periods must be the same.

You can increase or decrease the copied values by a factor.


Removing Data

You can remove (clear) data from a specified range in the database.


Summary

In this lesson, you should have learned to:

• Describe the format of a load file

• Identify the data load options

• Create data load files

• Load data from a file

• Extract data

• Export data with Extended Analytics

• Copy data within a database from one location to another

• Remove data from a database

L09 loading data

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