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?
Data Team Summit is always free and open for all to attend.
When is Data Teams Summit 2024?
Data Teams Summit 2024 will take place on January 24, 2024.
What is Data Teams Summit?
Data Teams Summit is an annual peer-to-peer day of empowerment for data teams that reflects our focus on the teams and individuals running, managing, and monitoring data pipelines.
Data Teams Summit is a full-day virtual conference, led by real-world data practitioners and leaders at future-forward organizations about how they're establishing predictability, increasing reliability, and creating economic efficiencies with their data.
Who comes to the Data Teams Summit?
Data professionals and experts including data engineers, administrators, architects, analysts, AI/ML professionals, and relevant data technology leadership.
Join us for sessions on:
- Data teams and the way they work together
- Data pipelines & applications
- Data observability
- Data quality, management & data governance
- Technology that allows teams to move faster and more efficiently
- Data modernization & architecture