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Data Nav Overview
Data Nav Overview








Alert
titleCCSQ D&A Portal is LIVE!
typeInfo

CCSQ Data and Analytics training and resources are now available in the CCSQ D&A Portal.  Contents of this Confluence space will be archived in the upcoming weeks. 


About

The CCSQ

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idHCQIS Data & Analytics
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titleNews & Announcements
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titleTraining & Onboarding

Training & Onboarding

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titleData Resources

Data Resources

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titleAnalytics & Tools

Analytics & Tools

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titleCollaboration

Collaboration

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titleAbout
The CCQS

Data & Analytics space is the place to find resources related to data and analytics to support the CCSQ mission to improve outcomes, beneficiary experience of care, and population health and reduce health care costs.

To support this mission, the

HCQIS

CCSQ Data and Analytics

modernization

effort applies the agile development approach to make information timely, accessible, and secure. The CCSQ

HCQIS

Amazon Web Services (AWS) environment is composed of the Centralized Data Repository (CDR) and the CCSQ

Analytics Platform (CAP

analytic tools (SAS Viya, Databricks and QuickSight). The CDR consists of single, well-defined, and high-quality versions of all the data entities within the CCSQ organizational ecosystem. The

CAP provides

analytics tools provide high-performance, in-memory analytics in an open, cloud-enabled, run-time environment. 

The information is organized under four main categories: Training & Onboarding, Data Resources, Analytics & Tools, and Collaboration, as shown in the top navigation bar.

More information regarding the CDR is found under Data Sources. More information regarding the CAP is found under Analytics & Tools. The Community of Practice (CoP) includes regular Communications Calls, which provide a means for community-wide information sharing.

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titleSystem Maintenance
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titleAugust 21, 2020

CAP and CDR Maintenance Outage

The next maintenance event for CAP and CDR is scheduled for Friday, August 21st beginning at 8:00 pm EDT and will extend until the evening of Sunday, August 23. A communication will be sent out once maintenance is complete. 

Call to Action: Please note the two actions you should take before this maintenance event.  Log into SAS Viya and go to the Data Explorer section of SAS Studio. Make a note of all your existing favorites under “My Favorites” (i.e., favorites/shortcuts referencing workspace path, CASLIB, or home directories). This is a necessary step to follow because some of the favorites/shortcuts to workspace path, CASLIB, or home directories will not be migrated following the maintenance window. As a reminder, the favorites can be found here: 
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  • If you have not saved your tables, please make sure to do so. This is to ensure that your information will be saved throughout the maintenance process.

    Prior to the planned maintenance window, users should save any of the tables in their own CASLIB to Hive in order for the information to be saved. You can save your existing CASLIB data loaded into memory using the following code. You’ll need to update the code to reference your CASLIB name and table. You will need to save each table individually. After the maintenance window, you will need to load your tables back into memory in order to continue working with them. As a reminder, whenever there is maintenance on the environment, you will need to make sure all of your code and table changes are saved 

  •  * Save CAS in-memory table to Hive; 

    PROC CASUTIL; 

              SAVE REPLACE                                           

              INCASLIB="mylib" CASDATA="mytable" 

              OUTCASLIB="mylib" CASOUT="mytable"; 

    RUN; 

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    titleAugust 14, 2020

    SAS Viya Maintenance Outage

    The next maintenance event for SAS Viya to implement security improvements is scheduled for Friday, August 14, beginning at 8:00 pm EDT. A communication will be sent out once maintenance is complete.

    Call to Action: If you have not saved your tables, please make sure to do so. This is to ensure that your information will be saved throughout the maintenance process.

    Prior to the planned maintenance window, users should save any of the tables in their own CASLIB to Hive in order for the information to be saved. You can save your existing CASLIB data loaded into memory using the following code. You’ll need to update the code to reference your CASLIB name and table. You will need to save each table individually. After the maintenance window, you will need to load your tables back into memory in order to continue working with them. 

    As a reminder, whenever there is maintenance on the environment, you will need to make sure all of your code and table changes are saved. 

    * Save CAS in-memory table to Hive; 

    PROC CASUTIL; 

    SAVE REPLACE

    INCASLIB="mylib" CASDATA="mytable"

    OUTCASLIB="mylib" CASOUT="mytable"; 

    RUN; 
    Tabs Page
    titleJuly 31, 2020

    CAP and CDR Maintenance Outage

    The next maintenance event for CAP and CDR is scheduled for Friday, July 31st beginning at 8:00 pm EDT and will extend until the evening of Sunday, August 2. A communication will be sent out once maintenance is complete. 

    Call to Action: Please note the two actions you should take before this maintenance event.  
    1. Users will likely need to configure their personal preferences again when they login after maintenance is complete. Please review and make note of your current preferences today from the application settings. Your user settings are found in the drop-down menu at the top right of the Viya application in your browser.

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    2. If you have not saved your tables, please make sure to do so. This is to ensure that your information will be saved throughout the maintenance process.
      Prior to the planned maintenance window, users should save any of the tables in their own CASLIB to Hive in order for the information to be saved. You can save your existing CASLIB data loaded into memory using the following code. You’ll need to update the code to reference your CASLIB name and table. You will need to save each table individually. After the maintenance window, you will need to load your tables back into memory in order to continue working with them. As a reminder, whenever there is maintenance on the environment, you will need to make sure all of your code and table changes are saved. 

     * Save CAS in-memory table to Hive; 

    PROC CASUTIL; 

              SAVE REPLACE                                           

              INCASLIB="mylib" CASDATA="mytable" 

              OUTCASLIB="mylib" CASOUT="mytable"; 

    RUN; 

    Tabs Page
    titleJuly 24, 2020

    CAP and CDR Monthly Maintenance

    Monthly maintenance for CAP and CDR is scheduled for tonight, July 24, beginning at 8:00 pm EDT. A communication will be sent out once maintenance is complete.

    Call to Action

    If you have not saved your tables, please make sure to do so. This is to ensure that your information will be saved throughout the maintenance process.
    Prior to the planned maintenance window, users should save any of the tables in their own CASLIB to Hive in order for the information to be saved.You can save your existing CASLIB data loaded into memory using the following code. You’ll need to update the code to reference your CASLIB name and table. You will need to save each table individually. After the maintenance window, you will need to load your tables back into memory in order to continue working with them.
    * Save CAS in-memory table to Hive;

    PROC CASUTIL;

    SAVE REPLACE
    INCASLIB="mylib" CASDATA="mytable"
    OUTCASLIB="mylib" CASOUT="mytable";

    RUN;
    As a reminder, whenever there is maintenance on the environment, you will need to make sure all of your code and table changes are saved. Horizontal Navigation Bar Page
    titleRelease Notes
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    The SAS Viya environment is currently not available. The Data and Analytics Modernization team is currently investigating and will restore the environment as soon as possible. A communication will be sent out once the environment is available for use. We apologize for the inconvenience this creates.

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    Email HCQIS_Data@hcqis.org

    Data or application access issues, contact the Service Center at qnetsupport@hcqis.org or call 1-866-288-8914 (TRS: 711)

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    This Quicklook Infographic provides a handy reference to the data and analytics modernization effort.

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