Data Quality Management For The Whole Team Wi...

SummaryIn this episode Christopher Doidge talks about his Agile Ledger Architecture (ALA) approach to data warehousing and how it aims to reduce data debt while shortening the path from raw data to trustworthy business insight. Christopher explained that ALA is not a replacement ...  Show more

SummaryIn this episode Soham Mazumdar, co-founder and CEO of Wisdom.ai, talks about what “context” really means in data engineering and AI systems. He explores why context has become such an overloaded term, spanning everything from semantic layers and data catalogs to tribal kno ...  Show more

Data contracts are redefining data quality and governance, and Chad Sanderson, CEO of Gable.ai, joins host Jon Krohn to explain how they can transform your data strategy. He breaks down what data contracts are, how they shift data quality checks closer to production, and why they ...  Show more

Whether you prefer the term data-driven, or data-informed, or data-dazzled, it doesn't matter—today's tech cannot survive without high quality data sets AND the tools to use them effectively. But we also can't afford to think about data as the responsibility of ...

Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us ...  Show more

It's easy to get sucked into the "technology" side of things when it comes to improving the effectiveness and scaling up data teams, but, much to Tim's dismay, shoring up the people, process, and culture is often just as (if not more) critical. So, sure, we can talk about the mod ...  Show more