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In this episode I recap attending the dbt Coalesce conference. I talk more about the themes from the keynote, the sessions, the vendors that were present and my conversations with attendees around their successes, challenges and what they are excited about for the future. If you weren't able to attend listen in to get more key insights from being there firsthand. To learn more about dbt visit https://www.getdbt.com/.
In this episode I sat down with Madison Schott author of the newsletter Learn Analytics Engineering. We discussed what an analytics engineer is and how it fits in the data and analytics team. We talked about the qualities that make analytics engineers valuable to a business and what the future looks like in the space. If you would like to explore more content on the topic of learning analytics engineering you can subscribe to her newsletter at https://learnanalyticsengineering.substack.com/
Do your end users point out mistakes to you in your dashboards? Do you find it hard to test and maintain the BI layer? In this episode I sat down with Bruno Masek from Wiiisdom to discuss the rise of analytics ops and how to efficiently test and certify your dashboards within your analytics stack. We dug into how to bring the last mile of your analytics chain under dev ops practices to build more trust from your users. You can learn more about Wiiisdom at https://wiiisdom.com/.
In this episode I sat down with Tableau hall of fame visionary Andy Kriebel to discuss the role of an analyst, how it is evolving and how it provides value to a business. We dug into the best ways to learn Tableau and how generative AI is shaping the future of an analyst. If you are looking at up-skilling in Tableau, you can learn more about the Tableau training program at https://nextleveltableau.com/.
In this episode I sat down with Hugo Lu to discuss how Orchestra is unlocking value in the orchestration and visibility of data pipelines for data teams. We talk more about how orchestra brings value by automating your orchestration, monitoring, and metadata collection. You can learn more about it https://www.getorchestra.io/
In this episode I sat down with Barr Moses and Mike Ebbers to discuss how Monte Carlo is unlocking value with data observability. If you are new to the concept of data observability and want to learn more, click the link to an article I wrote about what data observability is at https://bit.ly/4fvZGE3. We talk more about how Monte Carlo can help data teams deliver their data with greater trust and confidence by helping data teams proactively identify anomalies in their data pipelines. To learn more visit https://www.montecarlodata.com/
In this episode I sat down with Sarah Levy to discuss how Euno is unlocking value in the curation and governance of data models for analytics teams. We talk more about how to achieve flexibility with letting analysts create new content while also bringing in a robust governance framework to give you confidence behind your modeling layer. You can learn more about it https://euno.ai/.
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