How To Bring Agile Practices To Your Data Pro...

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

What if you could build and test your product before the full design is complete, and actually start to learn something about it? What if your integration was not just about managing a bunch of interfaces around suppliers but also about managing your technical risks so that you c ...  Show more

Organizations use their data to make better decisions and build innovative experiences for their customers. With the exponential growth in data, and the rapid pace of innovation in machine learning (ML), there is a growing need to build modern data applications that are agile and ...  Show more

Everyone working in application development deals with the problems addressed by design systems. In this Episode, we discuss with Wade Harkins about the benefits of Design Systems, how to implement them with your team, some of the unexpected hurdles that can arise along the way, ...  Show more

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