DataOps Unleashed is the first-ever event for the global DataOps community.
We came together on Wednesday, March 17th, 2021 for DataOps Unleashed – a gathering of DataOps, CloudOps, AIOps, MLOps, and data-oriented DevOps professionals, including all data team members and their management, up to the CDO level. We shared the latest trends and best practices for running, managing, and monitoring data pipelines and data-intensive analytics workloads.
The event was a tremendous success, with thousands of registrants, presentations by many leaders in DataOps, and lively discussion as to how we are all working together to make data-driven applications and analytics work better.
Sessions included talks by DataOps professionals at leading organizations, detailing how they’re establishing data predictability, increasing reliability, and reducing costs. Most sessions are 30 minutes or less in length.
Key: (CS) = case study
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Hear from 84.51°, a division of retail giant Kroger, as they share how they used Unravel Data, Yarn, Impala, and a DataOps approach to solve challenges associated with small files and fix big data pipelines.
Senior engineers Chinmay Sagade and Srinivasa Gajula show how Mastercard used Unravel Data to create an application monitoring system for detecting harmful workloads and meeting SLAs around resiliency and latency.
Wayne Eckerson of Eckerson Group convenes Unravel Data’s Kunal Agarwal, Astronomer's Ry Walker, DataKitchen's Christopher Bergh, Immuta's Matthew Carrol, and Starburst's Justin Borgman to discuss DataOps.