Building Checkpoints in your DataOps
Behind every successful insight (BI analytics or ML model) is a reliable data pipeline! These pipelines are planned, implemented, deployed, and monitored in an ongoing fashion referred to as the DataOps infinity loop (similar to CI/CD for traditional software). This talk covers battle scars in managing DataOps at scale, and how building checkpoints in the DataOps loop can reduce missed SLAs, cost outages, escalation from data users, and most importantly avoid data pipeline surprises!
Sandeep Uttamchandani, CDO & VP of Engineering @ Unravel
Dr. Sandeep Uttamchandani is the Chief Data Officer and VP of Engineering at Unravel Data Systems. Most recently he was at Intuit, where he ran the data platform team powering analytics and ML for Intuit's financial accounting, payroll, and payments products. He has co-founded a startup using AI for security and held engineering leadership roles at VMware and IBM for 15+ years. Sandeep holds more than 40 patents and is a frequent speaker and prolific writer. Sandeep holds a Ph.D and a Master's in Computer Science from the University of Illinois at Urbana-Champaign.