Today's enterprises need a faster way to get to business insights. That means broader access to high-value analytics data to support a wide array of use cases. Moving data repositories to the cloud is a natural step. Companies need to create a modern, scalable infrastructure for that data. At the same time, controls must be in place to safeguard data privacy and comply with regulatory requirements.
In this webinar, Zaloni will share its experience and best practices for creating flexible, responsive, and cost-effective data lakes for advanced analytics that leverage Amazon Web Services (AWS). Zaloni’s reference solution architecture for a data lake on AWS is governed, scalable, and incorporates the self-service Zaloni Data Platform (ZDP).
Join our webinar to learn
- Create a flexible and responsive data platform at minimal operational cost.
- Use a self-service data catalog to identify enterprise-wide actionable insights.
- Empower your users to immediately discover and provision the data they need.
Who should attend
Data engineers, data scientists, data analysts, data architects, database administrators, business analysts, and data and analytics managers are encouraged to attend this webinar.
Ryan Peterson - Solution Architect, Amazon Web Services
Scott Gidley - VP of Product, Zaloni
Date Tuesday, October 30, 2018
Time 10:00 AM PST | 1:00 PM EST