[CAFR-Contacts-News] Free Datamart & Hyperion Basic Training

ROSS Kathryn * SCD SARS kathryn.ross at state.or.us
Tue Mar 22 15:20:54 PDT 2011


Datamart & Hyperion Basic Training

 

Did you miss the initial training for "Datamart and Hyperion: Back to
Basics" class? Well, it is not too late. SARS is offering two additional
classes this month. 

 

The classes are currently set for April 20, 2011, from 8am to 12 noon
and from 12:30 to 4:30pm, at the Vet's computer lab. These classes are
very popular and seating is limited. The class is currently free to
State of Oregon employees. 

 

Objectives 

Learn the basics about:

*         The Datamart, Datamart table information, the Repository, and
how to set up an OCE

*         Hyperion - how to build and run queries, manipulate queries
and results

*         Hyperion tables, joins, filters, formatting, and sorting

 

This training course includes up-to-date information on the latest
Brio/Hyperion application called "Hyperion Interactive Reporting
Studio."

 

Prerequisites: 

*         The training manual for this class must be printed prior to
attending.
http://egov.oregon.gov/DAS/SCD/SARS/datamart.shtml#Datamart_Training
<http://egov.oregon.gov/DAS/SCD/SARS/datamart.shtml#Datamart_Training> 

*         Attendees must have current Datamart Security access with a
valid password, prior to attending this class.

 

Please visit iLearnOregon to sign up for this training:
https://ilearn.oregon.gov <https://ilearn.oregon.gov> 

 

Registration for this event will be coordinated through iLearnOregon
using the link provided above. You will need an active iLearnOregon
account to complete the registration process.  If you do not already
have an iLearnOregon account, you can find information on how to create
an account on the main login page for iLearnOregon. Once you have
logged-in you will find a link for "How to Register For A Course" in the
left navigation panel under "iLearnOregon Help Center."  
 

Thanks,

 

Aaron Wallace

Sr. Datamart Business Analyst

State Controller's Division

 

Data Classification: Level 1 - Published

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