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Discovering Data

Discovering Data

61 episodes — Page 2 of 2

S1 Ep 11Solo: The journey so far and what is next

This started as an experiment with a 20 dollar microphone and a small desk on wheels, wrapped around blankets in my small apartment. This is a short summary of the journey so far, and what's coming next.Learn more at https://www.discoveringdata.com

May 12, 202128 min

S1 Ep 10Scott Taylor: Telling Your Data Story

If we want to deliver value at scale, we need our systems to know what our people know, and we need to be able to trust it. ML and AI are pointless if we don’t establish the truth first, which means data management should be a strategic imperative for any organization. Yet data management is perceived as one of the most boring topics in data and most initiatives fail. Why is it? To make sense of this today I speak with Scott Taylor - The Data Whisperer! You can follow Scott on LinkedIn and if you want a 20% discount use the code “data whisperer” on Technicspub.Learn more at https://www.discoveringdata.com

Apr 20, 202158 min

S1 Ep 9Gilbert Eijkelenboom: PeoplePeople skills for analytical thinkers

Most of our decisions are made emotionally. This means that self-awareness is crucial to tell compelling stories and build trust! Today I speak with Gilbert Eijkelenboom about soft skills and the role that they play in data teams. I hope that as we find more effective ways to use data, we will also learn to create deeper and more meaningful connections between human beings.Learn more at https://www.discoveringdata.com

Mar 30, 202156 min

S1 Ep 8Jonathan Bricks: DBT a bridge between analysts and engineers

Today I speak with Jonathan Brooks about building a modern data warehouse. We speak about the case for a declarative SQL-based layer, the principles of analytics engineering, and Data Built Tool (DBT). We also compare this to legacy data platforms to understand how tech is changing the way we think about data. You can follow Jonathan on LinkedIn.Learn more at https://www.discoveringdata.com

Mar 9, 20211h 13m

Ep 7Nadja Jury: Built to last, mindset and strategy for new data teams

Today I speak with Nadja Jury about navigating uncertainty in new data teams. Nadja's journey in data starts with the customer support team. She soon realized that implicit and contradicting assumptions degenerate into fragmented and unreliable data. In a quest to change this, she spearheaded a new way of working which gave her an opportunity to lead the data team at Education Perfect. You can follow Nadja on LinkedIn.Learn more at https://www.discoveringdata.com

Feb 16, 20211h 8m

Ep 6Rebecca Lodin: The courage to be data driven

Today I speak with Rebecca Lodin about the impact of data in manufacturing and project management, the similarity between a production plant and a data warehouse, how cloud-based technologies lower technical and financial barriers, how this highlights the role that psychological safety plays in supporting a data-driven culture, and other topics.Learn more at https://www.discoveringdata.com

Jan 27, 202149 min

S1 Ep 5Luiza Menezes: The invisible work to deliver useful insights

Today I speak with Luiza Menezes about data catalogs and being confident about the business meaning behind a piece of data. The lack of a solid data foundation erodes data trust and leads to inefficiencies and frustrations.Learn more at https://www.discoveringdata.com

Jan 6, 202146 min

S1 Ep 4Francesco Scoto: The mindset of a business analyst

Data access is one of the most frustrating parts of analytics. Teams often underestimate the cost of moving data around, and requests from business analysts are often perceived as a tax on engineering time. Today I dive into this topic with my former colleague and senior business analyst Francesco Scoto.Learn more at https://www.discoveringdata.com

Dec 9, 202049 min

S1 Ep 3Humberto Shiromoto: Doing science with data

What is data science? Today I speak with Humberto Stein Shiromoto about Data Engineering, DataOps vs DevOps, the data mining lifecycle and the CRISP model, hypothesis testing, the Dunning Kruger effect, and more.Learn more at https://www.discoveringdata.com

Nov 18, 202046 min

S1 Ep 2Steven Pollack: What's wrong in data science?

Today I speak with Stephen Pollak about his path to data science and the fundamental problems that frustrate practitioners. We often underestimate data access and data quality, and this leads to data scientists doing the job of engineers or architects.Learn more at https://www.discoveringdata.com

Oct 28, 202042 min

S1 Ep 1Start Here

This is a journey to bridge the gap between data users and data practitioners. The goal is to help organizations understand the value of data and information and manage it well so that they can build resilience and thrive.Learn more at https://www.discoveringdata.com

Oct 20, 202013 min