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<Back to Communications Hub

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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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placeholderSearch CCSQ Data & Analytics site
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idHCQIS Data & Analytics
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titleNews & Announcements
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titleCollaboration

Collaboration

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titleAnalytics & Tools

Analytics & Tools

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titleTraining & Onboarding

Training & Onboarding

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titleData Resources

Data Resources

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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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Below is the list of the monthly scheduled production maintenance OS patching events for the CAP and CDR environment. All events will begin at 8:00 pm ET and end approximately at 11:00pm ET. A communication will be sent out once maintenance is complete. 

Call to Action:

Before a maintenance event, ensure to save your tables. This is to ensure that your information will be saved throughout the maintenance process. Any long running jobs would also need to be restarted after the event.

Maintenance Dates:

  • January 21, 2022
  • February 18, 2022
  • March 18, 2022
  • April 22, 2022
  • May 20, 2022
  • June 24, 2022
  • July 22, 2022
  • August 19, 2022
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This Quicklook Infographic provides a handy reference to the data and analytics modernization effort.

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