As of Hyperion version If you do not want to create a new RCU schema for each server on distributed environment you can use the same schema and while RCU configuration a different Prefix can be used so the required Infrastructure tables will have the unique Prefix. EPM Several features have been removed from EPM — Hyperion There are no surprises here as most of the products were removed even in Astral Solutions Group is working with customers to see where they are on Oracle Enterprise Performance Management road map.
We also work with clients to see if EPM Cloud is part of their strategic road map or make sense to do on-premises upgrade. You can reach out to us if you would like to see any of the EPM cloud product or want to look at Hyperion We are Oracle Service partner and work closely with Oracle to provide you best service and get the best value of your EPM investment. We can contact us and we would love to share our experience with EPM cloud and Hyperion Previous Next.
Related Posts. Optional Specify the calculation script that you want to run after loading data in the Essbase cube. Provide a fully qualified file name if the calculation script is not present on the Essbase server.
Note: Essbase client must be installed and configured on the machine where the Oracle Data Integrator Agent is running. Enable this option to set the maximum number of errors to be ignored before stopping a data load.
The value that you specify here is the threshold limit for error records encountered during a data load process. If the threshold limit is reached, then the data load process is aborted.
For example, the default value 1 means that the data load process stops on encountering a single error record. If value 5 is specified, then data load process stops on encountering the fifth error record. Commit Interval is the chunk size of records that are loaded in the Essbase cube in a complete batch.
Changing the Commit Interval can increase performance of data load based on design of the Essbase database. If this option is set to Yes, then the header row containing the column names are logged to the error records file. For example, if the text delimiter is set as ' " ' double quote , then all the columns in the error records file will be delimited by double quotes.
Data Extraction Methods for Essbase. Extracting Essbase Data. Extracting Members from Metadata. To extract data, as a general process, create an extraction query and provide the extraction query to the adapter. Before the adapter parses the output of the extraction query and populates the staging area, a column validation is done.
The adapter executes the extraction query based on the results of the metadata output query during the validation. The adapter does the actual parsing of the output query only when the results of the column validation are successful. After the extraction is complete, validate the results—make sure that the extraction query has extracted data for all the output columns. Data Extraction Using Report Scripts.
Data Extraction Using Calculation Scripts. Data can be extracted by parsing the reports generated by report scripts. The report scripts can exist on the client computer as well as server, where Oracle Data Integrator is running on the client computer and Essbase is running on the server. The column validation is not performed when extracting data using report scripts.
So, the output columns of a report script is directly mapped to the corresponding connected column in the source model. However, before you begin data extract using report scripts, you must complete these tasks:. Suppress all formatting in the report script. The number of columns produced by a report script must be greater than or equal to the connected columns from the source model. You can specify the MDX query to extract data from an Essbase application.
However, before you begin data extract using MDX queries, you must complete these tasks:. For Type 1 data extraction, all the names of data columns must be valid members of a single standard dimension. For Type 1 data extraction, it is recommended that the data dimension exists in the lower level axis, that is, axis 0 of columns. If it is not specified in the lowest level axis then the memory consumption would be high. If columns are connected with the associated attribute dimension from the source model, then, the same attribute dimension must be selected in the MDX query.
Calculation scripts provide a faster option to extract data from an Essbase application. However, before you extract data using the calculation scripts, take note of these restrictions:. If used Match the DataExportColHeader setting to the data column dimension in case of multiple data columns extraction. The Oracle Data Integrator Agent, which is used to extract data, must be running on the same machine as the Essbase server.
You can extract data for selected dimension members that exist in Essbase. You must set up the Essbase application before you can extract data from it. Optional Specify the calculation script that you want to run before extracting data from the Essbase cube. The first record first two records in case of calculation script contains the meta information of the extracted data.
Specify a fully qualified file location where the data is extracted through the calculation script.. For example, if the text delimiter is set as ' " ' double quote , then all the columns in the error records file are delimited by double quotes. Set this option to No, in order to retain temporary objects tables, files, and scripts after integration.
To extract members from selected dimensions in an Essbase application, you must set up the Essbase application and load metadata into it before you can extract members from a dimension. Before extracting members from a dimension, ensure that the dimension exists in the Essbase database.
No records are extracted if the top member does not exist in the dimension. Enable this option to select members from the dimension hierarchy for extraction.
You can specify these selection criteria:. Enable this option to provide the member name for applying the specified filter criteria. If no member is specified, then the filter criteria is applied on the root dimension member. Specify the text delimiter to be used for the data column in the error records file. Previous Next JavaScript must be enabled to correctly display this content. Integration Process You can use Oracle Data Integrator Adapter for Essbase to perform these data integration tasks on an Essbase application: Load metadata and data Extract metadata and data Using the adapter to load or extract metadata or data involves the following tasks: Setting up an environment: defining data servers and schemas.
System Requirements and Certifications Before performing any installation you should read the system requirements and certification documentation to ensure that your environment meets the minimum installation requirements for the products you are installing. This section details only the fields required or specific for defining a Hyperion Essbase data server: In the Definition tab: Name: Enter a name for the data server definition.
Server Data Server : Enter the Essbase server name. Note: The Test button does not work for an Essbase data server connection. Reverse-engineer an Essbase Model Reverse-engineering an Essbase application creates an Oracle Data Integrator model that includes a datastore for each dimension in the application and a datastore for data. Separate the required data column members with, Comma.
Designing a Mapping After reverse-engineering an Essbase application as a model, you can use the datastores in this model in these ways: Targets of mappings for loading data and metadata into the application Sources of mappings for extracting metadata and data from the application.
Note: The metadata datastore can also be modified by adding or deleting columns to match the dimension build rule that will be used to perform the metadata load. Specify a fully qualified path name without blank spaces for the MAXL script file. You can also create a custom target to match a load rule.
Note: The data datastore can also be modified by adding or delete columns to match the data load rule that will be used to perform the data load. Specify a fully qualified file name if the rules file is not present on the Essbase server. A value of 0 indicates to Essbase to use a self-determined, default load buffer size. Enable this option to set the Commit Interval for the records in the Essbase cube. Provide a valid extraction query, which fetches all the data to fill the output columns.
If no value is specified for this option, then space " " is considered as column delimiter. This option is useful for debugging. RKM Hyperion Essbase. Integrates data into Essbase applications. Integrates metadata into Essbase applications. Loads data from an Essbase application to any SQL compliant database used as a staging area.
Loads metadata from an Essbase application to any SQL compliant database used as a staging area. No Default Yes. Blank Default. Optional Specify a rule separator in the rules file. Restructure database after loading metadata in the Essbasecube. Specify a file name to log events of the IKM process.
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