Catalog & Cocktails: The Honest, No-BS Data Podcast

In this episode, Tim, Juan, and Sanjeev Mohan, former Gartner analyst and principal at SanjMo, explore how metadata acts as a proverbial travel guide for your data and analytics journey. This Takeaway episode will feature the summary of the upcoming show.

Why do some data-driven decisions seem to go so disastrously wrong? Ironically, the answer to this question likely isn’t found in the data at all, but rather our subconscious. In a time when companies have never been more data rich, it’s often our inherent information biases that doom critical analytics and data science work. Is it possible to take the bias out of data work? That’s the question we ponder in this episode featuring Ciaran Dynes, chief product officer at Matillion. This episode will also cover: What responsibilities companies and people have to curb information bias How hypothesis testing and experimentation can improve data work What’s the most egregious example of information bias in the wild?

Is it possible to take the bias out of data work? That’s the question Tim and Juan ponder in this episode featuring Ciaran Dynes, chief product officer at Matillion. This Takeaway episode will feature the summary of the upcoming show.

What does it take to build a successful data & analytics business? An entrepreneurial spirit, a problem-solving mindset, a sense of adventure, and the strength to get started. We are live from the data.world All Hands and joined by Brett Hurt, CEO and co-founder of data.world, author, and serial entrepreneur. Brett will share what it’s like to fundraise and scale a data company in this challenging economic climate, who inspires him and why, and how he sees the data and analytics landscape evolving. This episode will also feature: How to hire and retain great people What we can all learn from failure Recommendations for wines under $20

In this episode, Tim, Juan, and Brett discuss what it’s like to fundraise and scale a data company in this challenging economic climate, who inspires him and why, and how he sees the data and analytics landscape evolving. This Takeaway episode will feature the summary of the upcoming episode.

Some of the greatest breakthroughs throughout human history can be attributed to the biotech field, from life-saving vaccines to advances in supply chains. So it’s no surprise that biotech is also a fast-mover when it comes to innovative socio-technical paradigms like data mesh. In this episode, Tim, Juan, and Omar Khawaja, Global Head of BI at Roche, break down the good, the bad, and the ugly of the company's data mesh journey. This episode will also feature: How to identify potential use cases and pick the one to prioritize How to think about ownership when data and tools are widely distributed You’ll be at Snowflake Summit in Las Vegas next month. So will we. What’s the best buffet food?

Some of the greatest breakthroughs throughout human history can be attributed to the biotech field, from life-saving vaccines to advances in supply chains. So it’s no surprise that biotech is also a fast-mover when it comes to innovative socio-technical paradigms like data mesh. In this episode, Tim, Juan, and Omar Khawaja, Global Head of BI at Roche, break down the good, the bad, and the ugly of the company's data mesh journey. This episode will also feature: How to identify potential use cases and pick the one to prioritize How to think about ownership when data and tools are widely distributed You’ll be at Snowflake Summit in Las Vegas next month. So will we. What’s the best buffet food?

Everyone has an opinion on the modern data stack. What’s in it? What’s out? What’s the cool new buzzy technology? Unfortunately, it’s often the most important question that people fail to ask: How are your tools delivering value? In this episode, Tim, Juan, and Sarah Krasnik get back to first principles and remind us why everyone was excited about the modern data stack to begin with. This episode will also feature: How to think about “minimum viable data stack” vs. modern data stack Criteria for evaluating the minimum viability of data tools You once compared data self-service to shopping for frozen yogurt. Defend your most controversial frozen yogurt take.

In this episode, Tim, Juan, and Sarah Krasnik get back to first principles and remind us why everyone was excited about the modern data stack to begin with. This Takeaway episode will feature the summary of the upcoming episode.

How do the most successful companies stitch together data governance, understanding, access, and use to create active and engaged data cultures? The answer, as usual, can be found in the knowledge graph. And what better place to talk nodes and edges than the Knowledge Graph Conference in New York City? In this episode, Tim and Juan are joined by conference chair, Francois Scharffe, to discuss how knowledge graphs are driving the automated enterprise. This episode will also feature: How to apply knowledge graphs to address critical business problems What automation looks like when powered by a knowledge graph What kind of graph is the New York Subway system?