Transcript
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
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Data Load Files
A data load file contains sections that map the file data to Financial Management dimensions.
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Group Dimension Section
Sets the point of view for the data records.
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Data Section
Represents data values for one
or more periods.
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Line-Item Detail Section
Line-item descriptions are enclosed in quotation marks.
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Submission Phase Section
You can load assignments of submission groups to phases.
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Column Order
Specifies the order of the dimensions in the data section.
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Financial Management Data Storage and Retrieval
Parent Currency
California, Actual, 2008
Entity Currency Proportion
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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
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Guidelines for Managing Performance
This data grid opens 14 subcubes in memory, one for each entity.
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Loading Data from a File
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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
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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
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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
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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
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Extracting Data
Numbers in parentheses indicate that multiple members are selected.
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Exporting Data with Extended Analytics
An Extended Analytics star schema enables you to use Essbase to analyze data and produce reports.
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Copying Data
The number of source and destination periods must be the same.
You can increase or decrease the copied values by a factor.
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Removing Data
You can remove (clear) data from a specified range in the database.
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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
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