Adopting the DataOps Methodology is helping agile teams deliver data and analytics faster and more manageable in modern data infrastructure and ecosystems. DataOps is critical for companies to become resilient with data and analytics delivery in a volatile and uncertain global business environment. Going beyond DevOps for continuous deployments, DataOps leverages principles from other disciplines to evolve data engineering and management.

Companies need data and analytics more than ever to be agile and competitive in today’s fast-changing environment. DataOps can be an enterprise-wide initiative or an independent agile delivery team working to improve how they deliver data analytics for their customer. Gaining traction takes time and ongoing support.

This seminar will cover:

The challenges in current data environments and IT
What DataOps is and how it differs from other approaches
Which principles and technologies to focus on initially
How to adopt DataOps to speed analytics development and delivery
How to continuously engineer, deploy, and operationalize data pipelines with automation and monitoring
Setting expectations and planning for DataOps maturity.