https://community.qlik.com/t5/Member-Articles/QTC-Version-Management-with-GitHub/ta-p/2538873 <BLOCKQUOTE class="quote"> <P>Organizations face rising pressure to deliver analytics-ready data rapidly, reliably, and at scale. While platforms like <STRONG>Qlik Talend Cloud (QTC)</STRONG> and <STRONG>GitHub</STRONG> offer powerful capabilities for Continuous Integration and Continuous Delivery (CI/CD), tools alone are not enough. High-performing data teams require the right <STRONG>project management discipline</STRONG>, <STRONG>data architecture</STRONG>, and <STRONG>team structure</STRONG> to ensure predictable, high-quality outcomes as complexity grows.</P> <P>This document outlines best practices for preparing an organization, configuring GitHub, and structuring QTC environments to enable efficient, governed, and scalable data delivery. It also provides a detailed walkthrough of a multi-team Medallion-architecture project implemented across two Sprints.</P> <P><STRONG>&nbsp;</STRONG><STRONG>Key Benefits of a Well-Designed CI/CD Framework</STRONG></P> <UL> <LI>Faster, more reliable delivery of analytics features</LI> <LI>Improved data quality through structured governance</LI> <LI>Higher team productivity and reduced rework</LI> <LI>Clean, high-quality data that accelerates AI and analytics adoption</LI> </UL> </BLOCKQUOTE> Wed, 10 Dec 2025 20:58:51 GMT JesseFountain 2025-12-10T20:58:51Z https://community.qlik.com/t5/Member-Articles/QTC-Version-Management-with-GitHub/ta-p/2538873 <BLOCKQUOTE class="quote"> <P>Organizations face rising pressure to deliver analytics-ready data rapidly, reliably, and at scale. While platforms like <STRONG>Qlik Talend Cloud (QTC)</STRONG> and <STRONG>GitHub</STRONG> offer powerful capabilities for Continuous Integration and Continuous Delivery (CI/CD), tools alone are not enough. High-performing data teams require the right <STRONG>project management discipline</STRONG>, <STRONG>data architecture</STRONG>, and <STRONG>team structure</STRONG> to ensure predictable, high-quality outcomes as complexity grows.</P> <P>This document outlines best practices for preparing an organization, configuring GitHub, and structuring QTC environments to enable efficient, governed, and scalable data delivery. It also provides a detailed walkthrough of a multi-team Medallion-architecture project implemented across two Sprints.</P> <P><STRONG>&nbsp;</STRONG><STRONG>Key Benefits of a Well-Designed CI/CD Framework</STRONG></P> <UL> <LI>Faster, more reliable delivery of analytics features</LI> <LI>Improved data quality through structured governance</LI> <LI>Higher team productivity and reduced rework</LI> <LI>Clean, high-quality data that accelerates AI and analytics adoption</LI> </UL> </BLOCKQUOTE> Wed, 10 Dec 2025 20:58:51 GMT https://community.qlik.com/t5/Member-Articles/QTC-Version-Management-with-GitHub/ta-p/2538873 JesseFountain 2025-12-10T20:58:51Z