We discuss the core capabilities required for a successful DataOps program and how a DataOps platform complements the tools provided by cloud vendors, ensuring that you get the most out of your cloud investment.

Cynozure’s James Lupton joins us to discuss how DataOps is a critical element of any data strategy, especially if your goal is to deliver high-quality data products at pace.

Jesse Anderson of the Big Data Institute talks about how to organize your data team for DataOps success.

In this webinar, we outline a concrete and actionable six-step program for bringing DataOps to your organization.

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.