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.

What is DataOps Unleashed?

DataOps Unleashed is the official DataOps community.

We came together on March 17 as the emergence of DataOps, CloudOps, AIOps, MLOps, and other professionals, who gathered virtually to share the latest trends and best practices for running, managing, and monitoring data pipelines and data-intensive analytics workloads.

Sessions included talks by DataOps professionals at leading organizations, detailing how they’re establishing data predictability, increasing reliability, and reducing costs.

Join us in Winter 2022 for the next DataOps Unleashed!

What is the cost to watch the virtual sessions?

DataOps Unleashed is always free and open for all to attend and view on-demand.

Join us for sessions on:

  • Data pipelines
  • Data orchestration
  • Metadata
  • Data quality
  • Data governance
  • Data science platforms
  • AIOps and MLOps
  • CloudOps
  • Migrations
  • Observability
  • Optimization
  • Operations

Who comes to DataOps Unleashed?

DataOps professionals and experts including data administrators, data architects, data engineers, data analysts, AI/ML professionals, and data technology leadership.

If you'd like to speak at DataOps Unleashed, send a note to

New to DataOps?

DataOps is a holistic approach to the creation, deployment, monitoring, management, and optimization of data-driven applications. It describes the culture and rules of engagement that allow data teams to deliver and maintain high-quality, on-time data products, often powered by AI and machine learning, in an agile and cost-effective way.

DataOps defines how data teams work and also affects data consumers and those whose work causes new data to be created and used within the organization. Their work enables the entire organization to access data efficiently for data-driven decision-making and for the creation and delivery of data-driven applications.

Organizations with well-developed DataOps strategies, governance, and processes can expedite the delivery of data-driven workflows and results faster and better than others.


Sign up below to join us in 2022 at the next DataOps Unleashed

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