Main Stage Sessions 1

  • Opening Keynote: Unleashing DataOps (25 minutes)

    DataOps innovator Kunal Agarwal, CEO of Unravel Data, describes how companies large and small are using DataOps to make their technology stacks hum, get more done at a lower cost, and improve both customer experience and the bottom line.

    March 24, 2021
  • A Journey to the Cloud for Adobe’s Corporate Data Platform (24 minutes) (CS)

    Kevin Davis shares the catalysts that started Adobe on their journey in moving petabytes of data to the cloud, the processes being employed to ensure key customer challenges are addressed in the new environment, and other tools and strategies that are helping along the way.

    March 24, 2021

Main Stage Sessions 2

  • The Evolution of a Data Platform (32 minutes) (CS)

    James Fielder, Senior Data Engineer at Cox Automotive, shows how a small data team manages DataOps for his organization’s global footprint, highlighting their use of Databricks on Microsoft Azure.

    March 24, 2021

Breakout Sessions 2

  • DataOps for the New Data Stack (28 minutes)

    This talk demystifies the new data stack that thousands of companies are deploying to convert data into insights continuously and with high agility. Session presented by Shivnath Babu, Co-Founder and CTO at Unravel Data.

    March 24, 2021

Main Stage Sessions 3

  • Best Practices for Optimizing Your Big Data Costs With Amazon EMR (32 minutes) (CS)

    Angelo Carvalho, Principal Solutions Architect at AWS, reviews best practices and new features that enable you to cut operating costs and create efficiencies when processing vast amounts of data using Amazon EMR.

    March 24, 2021
  • The State of DataOps (33 minutes)

    What is DataOps? A methodology for building pipelines? A set of development and execution tools? Or a process for continuous improvement? This session helps us better understand our DataOps efforts as they evolve.

    March 24, 2021

Breakout Sessions 3

  • Building Checkpoints in Your DataOps (32 minutes)

    This talk, from Sandeep Uttamchandani, author of The Self-Service Data Roadmap, describes how building checkpoints into the DataOps loop can reduce missed SLAs, cost outages, and escalations from data users, while avoiding data pipeline surprises.

    March 24, 2021

Main Stage Sessions 4