Root Cause Analysis for Your Data Lake
From null values and duplicate rows, to modeling errors and schema changes, data pipelines can break for millions of reasons. And once “data downtime” happens, we need to know what caused it so that we can fix it – fast.It’s one thing to talk about root cause analysis in concept, but what does it look like in practice? In this talk, we pull back the curtain on how some of the best data teams are tackling data downtime across their data lake by walking through how to root cause a real-life incident across three main channels: your code, your operational environment, and the data itself.
Speakers
Barr Moses
Barr Moses is CEO and Co-founder of Monte Carlo, a data/analytics startup backed by Accel and other top Silicon Valley investors. Previously, she was VP Customer Operations at Gainsight (a enterprise customer data platform) where she helped scale the company 10x in revenue and, among other functions, built the data/analytics team. Prior to that, she was a management consultant at Bain & Company and a research assistant at the Statistics Department at Stanford. She also served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science.
Lior Gavish
Lior Gavish is CTO and Co-Founder of Monte Carlo, a data reliability company backed by Accel, Redpoint Ventures, GGV, and other top Silicon Valley investors. Prior to Monte Carlo, Lior co-founded cybersecurity startup Sookasa, which was acquired by Barracuda in 2016. At Barracuda, Lior was SVP of Engineering, launching award-winning ML products for fraud prevention. Lior holds an MBA from Stanford and an MSC in Computer Science from Tel-Aviv University.
