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Lights On Data Show
George Firican
172 episodes
1 week ago
Each episode puts the lights on various data topics with renowned industry experts. We cover the following topics in a fun and informative interview format: data science, data analytics, machine learning, artificial intelligence, data visualization, data storytelling, data governance, data management, data quality, data strategy, and much more.
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How To
Education
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All content for Lights On Data Show is the property of George Firican and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Each episode puts the lights on various data topics with renowned industry experts. We cover the following topics in a fun and informative interview format: data science, data analytics, machine learning, artificial intelligence, data visualization, data storytelling, data governance, data management, data quality, data strategy, and much more.
Show more...
How To
Education
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Data Lineage Best Practices: Interview with Caitlyn Truong
Lights On Data Show
20 minutes 58 seconds
7 months ago
Data Lineage Best Practices: Interview with Caitlyn Truong

In this episode of the Light On Data Show, host George Firican dives into the critical yet often overlooked aspect of data management: data lineage. Special guest Caitlyn Truong, co-founder and CEO of Zengines, shares her expertise from over 20 years in financial services, telecommunications, and energy. Caitlyn discusses the importance of data lineage for operational efficiency and regulatory compliance, offering best practices and the 5 steps for organizations to successfully implement data lineage. Tune in to discover how to best track data lineage, navigate legacy systems, and leverage tools to overcome challenges and achieve success.

Lights On Data Show
Each episode puts the lights on various data topics with renowned industry experts. We cover the following topics in a fun and informative interview format: data science, data analytics, machine learning, artificial intelligence, data visualization, data storytelling, data governance, data management, data quality, data strategy, and much more.