Often when companies commit to migrating to the public cloud for their data and analytics systems, they underestimate the effort and complexity involved. This causes costly delays and missed expectations while falling short of the incremental steps necessary that take advantage of cloud services. A complete data and analytics strategy begins with close alignment with business initiatives for impact and then prioritizes components in the cloud architecture roadmap along with proficiency development.
It is important for architecture teams to understand that their modernization strategy will deliver increased business value only through an optimized cloud ecosystem. To achieve this potential, the roadmap must prioritize and interweave the adoption of cloud-native architecture and automation, a modern data architecture, and enterprise-scale data engineering and self-service data analytics.
Watch the video or download the slides. In this WEBINAR you will learn:
- Best practices for critical modernization and cloud architecture for AWS, Azure, Google Cloud, and Snowflake.
- How to create an architecture roadmap to align business and analytic capabilities.
- Prioritizing activities for a successful cloud Migration.
- Lessons learned from customer implementations and experiences.