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#64 Creating Trust in Data with Data Observabilty

#64 Creating Trust in Data with Data Observabilty

FromDataFramed


#64 Creating Trust in Data with Data Observabilty

FromDataFramed

ratings:
Length:
43 minutes
Released:
Jun 14, 2021
Format:
Podcast episode

Description

In this episode of DataFramed, Adel speaks with Barr Moses, CEO, and co-founder of Monte Carlo on the importance of data quality and how data observability creates trust in data throughout the organization. Throughout the episode, Barr talks about her background, the state of data-driven organizations and what it means to be data-driven, the data maturity of organizations, the importance of data quality, what data observability is, and why we’ll hear about it more often in the future. She also covers the state of data infrastructure, data meshes, and more. Relevant links from the interview:Connect with Barr on LinkedInLearn more about data meshesCheck out the Monte Carlo blogDataCamp's Guide to Organizational Data Maturity
Released:
Jun 14, 2021
Format:
Podcast episode

Titles in the series (100)

Data science is one of the fastest growing industries and has been called the ‘Sexiest job of the 21st Century’. But what exactly is data science? In this podcast, brought to you by DataCamp, Hugo Bowne-Anderson approaches the question by exploring what problems data science can solve rather than defining what data science is. From automated medical diagnosis and self-driving cars to recommendation systems and climate change, come on a journey with experts from industry and academia to explore the industry that will change the course of the 21st century.