Discovering Data

Slow or inadequate data infrastructure can seriously hinder the progress of data science projects, making it a constant battle to balance the need for speed with accuracy and quality. Today I learn the challenges data science teams face and how to overcome the obstacles of data infrastructure from Ville Tuulos, author of "Effective Data Science Infrastructure."You can follow Ville

AI is emerging as a powerful tool for data scientists and businesses. But how can we leverage this technology to its fullest potential? Join me as I learn from Tobias Zwingmann, author of AI-Powered Business Intelligence.You can follow Tobias on LinkedIn.Episode pagehttps://www.discoveringdata.com/podcast/episode-058Book GiveawayDo you want to win a copy of "AI-Powered Business Int

A great data leader is a provocateur. They "provoke" the organization with their ideas and demonstrating success. Join me as I learn from Tom Redman the Data Doc.You can follow Tom on LinkedIn.Episode pagehttps://www.discoveringdata.com/podcast/episode-057Membership Waiting Listhttps://airtable.com/shrGDK9R143gXZD0XFor GuestsDo you enjoy educating an audience? Do you want to help d

Learn how to extract business value from text from the father of the data warehouse: Bill Inmon.You can follow Bill on LinkedIn.Episode pagehttps://www.discoveringdata.com/podcast/episode-056Join the Discovering Data community!Do you want to turn data into business outcomes and get promoted? Discovering Data just launched a new Discord server to connect you with people like you. Di

Analytics requires a real involved effort across the entire organization. So what does it take to build team that not only understands your organization's data but the analytic and business requirements as well? Today I learn from John Thompson, best selling author, analytics innovator, and data thought leader.Episode pagehttps://www.discoveringdata.com/podcast/episode-055Join the

What is semantic modeling? How and when do you need it? Can you automate it? Today I speak with Panos Alexopoulos author of the book "Semantic Modeling for Data - Avoiding Pitfalls and Breaking Dilemmas" published by O'Reilly.You can follow Panos on LinkedIn.Episode pagehttps://www.discoveringdata.com/podcast/episode-054Join the Discovering Data community!The mission of Discovering

When was the last time a data engineer got invited into a strategy meeting and asked, "Hey, I value your opinion. Can you come and sit with the CEO?" Today, we map the habits you need to develop for maximum business impact and promotion.You can follow the panelists on their LinkedIn:Tobias ZwingmannVishal RamrakhyaniSwati VishwanathanEpisode pagehttps://www.discoveringdata.com/podc

Can a system help us build better products? Today I learn everything about DataOps from Christopher Bergh, CEO and Head Chef at DataKitchen.You can follow Chris on LinkedIn.Episode pagehttps://www.discoveringdata.com/podcast/episode-053Events coming up - Data Teams SummitThe Data Teams Summit is coming up on January 25. It's an online live event of peer-to-peer sessions. I'll be ho

Today we look back to look forward:🗓️ 1 Year🎙️ 2 Podcasts👨‍💻 50 Data Leaders💡7 LessonsWhat are the biggest lessons in data management for next year? This is our first Live-Show ever, a collaboration between Discovering Data and Data Management Association Norway (DAMA) a LIVE podcast co-hosted by myself and Winfried Adalbert Etzel. This is what we’ll cover to

The Modern Data Stack is getting too complex and costly to maintain. What are some of the worse anti-patterns in the MDS? What are the drivers and incentives that prevent us from scaling? Join me as I follow the white rabbit with Lauren Balik.You can follow Lauren on LinkedIn.Episode pagehttp://www.discoveringdata.com/podcast/episode-052Join the Discovering Data community!The missi