Making Your Data Observable and Customer-Led Growth a Reality

Sam Ramji and Barr Moses discuss the lack of an equivalent to DevOps for data engineers on the Open Source Data podcast. Moses, co-founder of data observability platform Monte Carlo, aims to provide data teams with the same insights as software engineers have had for years. She highlights the value of open source communities in addressing challenges like data trust, discoverability, and ownership. The concept of data observability is built on five pillars: freshness, distribution, schema, relationships, and lineage. Monte Carlo's platform helps data teams ensure their data is reliable and complete, enabling them to work as efficiently as software development teams running DevOps. Moses emphasizes the importance of customer-led growth in product development and shares her experience co-founding Monte Carlo with Lior Gavish. She encourages new graduates to find a strong fit between their passions and problem-solving abilities, emphasizing that life is too short for anything else.