A journey to the cloud for Adobe's corporate data platform
Adobe has just embarked on a multi-year journey to transition their on-premise Hadoop data platform to the cloud. With thousands of users, petabytes of data, and millions of monthly job executions, transitioning to the cloud will be a tremendously challenging task. Join Kevin Davis as he shares the catalysts that started Adobe on this journey, 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. If your organization is contemplating a move to the cloud, this session will provide key insights into the early stages of Adobe’s transition that will help you plan your initiative.
Devin Davis, Application Engineering Manager @ Adobe
Kevin Davis is an Application Engineering Manager in Adobe’s IT organization, based in Lehi, Utah. His team builds innovative analytics and big data solutions focused on improving customer engagement and retention. Kevin is leading the effort to migrate hundreds of workloads and thousands of data assets to the new cloud data platform.
What is the cost to attend and watch the virtual sessions?
DataOps Unleashed is always free and open for all to attend.
Unleashed 2022 was held live, virtually on February 2nd, 2022.
What is DataOps Unleashed?
DataOps Unleashed is the official DataOps peer-to-peer community.
It's a time for everyone, from DataOps, CloudOps, AIOps, MLOps, to other technology professionals, to gather virtually to share the latest trends and best practices for running, managing, and monitoring data pipelines and data-intensive analytics workloads.
Sessions include talks by DataOps professionals at leading organizations, detailing how they’re establishing data predictability, increasing reliability, and reducing costs.
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.
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.
Join us for sessions on:
- Data pipelines
- Data orchestration
- Data team composition
- Data architecture
- Data quality
- Data governance
- Data observability
- Data operations
- Data optimization
- Data cost governance
- Data migrations
- Data modernization
Want to speak at the next session?
Send us a note to firstname.lastname@example.org or submit a talk proposal here: dataopsunleashed.com/cfp