Lessons Learned From The Pipeline Data Engine...

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

Over the past 5 years, I’ve taught 1000’s about data analytics.

What have I learned as a teacher?

Where have I seen the most success?

What’s the biggest secret to people who succeed?

In this episode, I’ll share it all :)

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Join Avery Smith and Jordan Temple in this episode of the Data Career Podcast.

Jordan shares his insights on breaking into the data industry with a non-technical background, leveraging skills in Power BI and the power of a solid online presence.

Tune in now to ga ...

In this episode, Avery & Rho discuss challenges faced while applying for a data career job and how to overcome them.

In the episode, Rho shares critical insights into the importance of effectively presenting your skills, the significance of your resume, networking, ...

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. Data is at the heart of AI. It should be no surprise then that proper data management is crucial for AI projects. This podcast is an excerpt from our Cognilyt ...  Show more