In this episode we speak with Chad Sanderson head of data and early stage startup advisor focused on data innovation @ Convoy and uncover their… Read More »Implementing Amundsen @ Convoy with Chad Sanderson
Your data team should not just be keeping the lights on, but should be building and creating data products to support the business. In this… Read More »The Importance of Treating Your Data Initiatives as Products with Murali Bhogavalli
In this episode of Building The Backend we hear from Prukalpa Sankar – Co-founder of Atlan, where we talk all about data quality/governance, common issues… Read More »The Keys to Good Data Quality With Prukalpa Sankar from Atlan
Gleb Mezhanskiy is the CEO & Co-founder of Datafold – a data observability platform that helps companies reduce their data quality incidents and grow through… Read More »How To Effectively Reduce Data Quality Incidents 10x with Datafold
Why Do Organizations Struggle To Have Good Data Quality? Large organizations are often using many tools to get their data from source to destination, and… Read More »How To Achieve Better Observability and Control Over Your Data Pipelines with Josh Benamram
In this episode, we speak with Lior Gavish, the co-founder of Monte Carlo to explore all things data quality. Monte Carlo is a data lineage and observability tool that lowers your data downtime.
In this episode, we speak with Christina Stathopoulos who works at Google as an Analytical Lead with Waze, a crowdsourced mobile navigation app. She is also an adjunct professor at IE Business School and guest lecturer at ISDI where she teaches analytics courses in the MBA programs. In this episode we will discuss the current landscape of data, challenges organizations face when becoming data driven, and top reasons AI projects fail.
In today’s episode, we will speak with Susan Walsh and learn why organizations struggle with creating and maintaining high-quality data and the steps she takes to resolve data issues. Susan Walsh has nearly a decade of experience fixing your data and founded the classification guru. Susan is a specialist in data classification and data cleansing. She is passionate about helping you find the value in cleaning your dirty data and raises awareness of the consequences of ignoring issues through our blog, webinars, and speaking engagements.
In today’s episode, we will speak with Jesse Anderson and learn how to run successful big data projects and how to resource your teams. Jesse is a big data expert at Big Data Institute, who’s worked with startups to Fortune 100 companies. He has taught over 30,000 people the skills to become data engineers and is published in prestigious publications such as The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired.
In today’s episode, you hear from Laura Madsen with 20+ years in data and analytics, authoring books on data governance and healthcare analytics, and co-founded Minneapolis-based consulting firm Via Gurus.