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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

Breakout Sessions 1

  • Dataops Principles and Practices (25 minutes)

    Vijay Kiran, Head of Data Engineering at Soda Data, describes how the practice of DataOps is fundamental to monitoring and managing pipelines to provide trusted data to the business, transforming how data analytics works.

    March 24, 2021
  • Data Quality in DataOps (28 minutes)

    Abe Gong, Co-Founder & CEO at Superconductive, shares examples, patterns, and emerging best practices for data quality from the community emerging around the Great Expectations open source framework.

    March 24, 2021
  • Observability of Apache Airflow (30 minutes)

    Ry Walker, Founder & CTO at Astronomer, shows how to use Apache Airflow to contribute to observability in the modern data stack, and charts a course for where we can take observability going forward.

    March 24, 2021
  • DataOps Automation and Orchestration with Fivetran, Dbt, and the Modern Data Stack (24 minutes)

    Creating repeatable and standardized processes for data pipelines. Nick Acosta, Developer Advocate at Fivetran, shows how to use a DataOps approach with Fivetran and the rest of the modern data stack.

    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
  • A Modern Data Estate Is the Key to Data-LED Digital Transformation (38 minutes)

    If your organization is ready to embrace the cloud but unsure of how to take the first steps, this session provides the inspiration, insights, and strategies to help you succeed. Priya Vijayarajendran, VP Data & AI at Microsoft, presents.

    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
  • Driving Dataops Culture With LinkedIn Datahub (29 minutes)

    Driving DataOps Culture with LinkedIn DataHub, a DataOps framework that has been open-sourced, and is now being integrated and upgraded. Presented by Shirshanka Das, Co-Founder & CTO at Acryl Data.

    March 24, 2021
  • How to Find a Misbehaving Model (32 minutes)

    Models can give you unmatched competitive advantage - or introduce setbacks that erode trust with your customers. Tristan Spaulding, Senior Director of Product Management at DataRobot, shows how to find and fix problems.

    March 24, 2021
  • ELT-G: Locating Governance in the Modern Data Stack (30 minutes)

    Stephen Bailey, Director of Applied Data Science at Immuta, provides a framework for thinking about data governance in an ELT landscape and introduces policy-based access controls.

    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
  • Creating a Data-Driven Cultue (28 minutes)

    We bring together Gartner VP Sanjeev Mohan, Equifax executive Kumar Menon, Ceridian CDO David Lloyd, and AlphaCredit CDO Paloma González Martínez to discuss how to minimize problems and maximize opportunities around data.

    March 24, 2021
  • DataOps.live and Snowflake Going Stellar with OneWeb (the Global Satellite Network Provider) (29 minutes) (CS)

    David Bath of OneWeb, along with Justin Mullen and Guy Adams of DataOps.live, show how to take Snowflake into near-Earth orbit, solving DataOps problems locally, in Antarctica, and in near-total vacuum.

    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
  • Apache Superset for Data Engineers (31 minutes)

    Superset is the leading open source data exploration and visualization platform. In this talk, we present Superset, with a focus on advanced topics that are most relevant to data engineers.

    March 24, 2021
  • Things You May Not Know About Apache Kafka but Should (31 minutes)

    Patrick Druley, Senior Solution Engineer at Confluent, presents some of the common misconceptions, best practices, and little-known facts about Apache Kafka, to help you get the most out of this vital streaming platform.

    March 24, 2021
  • Universal Data Authorization for Your Data Platform: What Is It and Why Now? (30 minutes)

    In this session, Okera describes what Universal Data Authorization is, and how adding it to your modern technology stack brings clarity and appropriate control across your entire data platform.

    March 24, 2021

Main Stage Sessions 4