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Subject

Detail

Release Version

1.3.2

Pilot Release Date

7/920/18

Production Release Date

7/26/18

Time

4:00PM - 7:00PM PST

Type

Minor Release


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Below is a summary of the features, enhancements and bug fixes included in the MyPath version 1.3.2 release.  


Ticket Number
Ticket Name
Description
SSP-2743Deploy Full Needs and Interests-based rulesetA default ruleset is being deployed for testing in response to the Needs and Interests page on CCCApply. No changes will be made to existing college accounts.
SSP-2916Update Apply Portlet to Redirect to Chancellor's Office accountA new tool is being added to MyPath that will allow incoming/pre-application prospective students who are viewing the Chancellor's Office MyPath account to begin the Apply workflow by selecting a college in MyPath. This change will not be turned on by default and any changes affecting the application will be discussed with the CCCApply team.
SSP-2917Create rule for users that have applied, to mark default Apply advisor cards completeA new rule is available to colleges. Now, if they have an Apply to College card, that card can be automatically marked complete if the student has just submitted an application. This is useful for colleges who wish to use CCC MyPath both before and after CCCApply.
SSP-2937Add front end to Drools EditorA new developer tool for creating rules. 
SSP-2987Send Advisor Card completion statistics to the DWInfrastructure to support a new Report Center report, allowing MyPath colleges to view advisor card completion statistics for their students.
SSP-2988Enhance advisor card school report to return data for all schoolsSupporting work for new advisor card completion report.
SSP-2989Create LAMBDA and cloud watch events to gather report dataSupporting work for new advisor card completion report.
SSP-2990Setup Lambda, Kinesis, and DW staging area (S3) for data pushSupporting work for new advisor card completion report.
SSP-3080Improve performance of EMR Cluster processingInfrastructure improvements to improve the performance of the recommendation engine.


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