Data privacy experts Peter Lancos and Sonal Rattan of eXate, join Chris Bergh of DataKitchen to discuss the what, why, and how of DataSecOps.
DataOps thought leader, Lars Albertsson, shares his DataOps experience at Spotify, including what worked, what didn’t, and key lessons learned along the way.
ModelOps orchestrates your entire ML pipeline for seamless integration of all the heterogeneous data centers, tools, infrastructure, and workflows required for successful model development, deployment, and production.
Laura Madsen, Author of Disrupting Data Governance, joins us to discuss how DataGovOps can be used to create a data governance program for the modern organization that supports, rather than stifles, the usage of data
How do you govern Self-Service Analytics without stifling innovation? Watch this webinar to learn how Self-Service DataOps Sandboxes give you the ability to balance agility with control.
Orchestration of your environment pipelines enables you to seamlessly spin-up and manage repeatable workspaces that underpin your Production and Development pipelines. Include everything your team needs, such as servers, software, and test data, to work quickly and securely.
We share why and how to orchestrate your Development pipelines in order to quickly and confidently enhance and extend new analytics into your production systems.
Rajesh Gill, Associate Director of Commercial Insights, discusses how Celgene used DataOps to build a huge success with the Otezla brand.
Harvinder Atwal, author Practical DataOps and Group Data Director at MoneySuperMarket, discusses how DataOps aligns the people, processes, and technology of the analytics organization with the rest of the company’s goals.
In this joint webinar with Tamr, we use real-life examples to introduce DataOps and its key benefits, as well as provide guidance for overcoming DataOps challenges.