In today's competitive environment, it is more important than ever for organizations to adapt to changing conditions. The desire to become more flexible and agile is driving how enterprises approach data and analytics.
Although some organizations are satisfied with the traditional warehouse that deals primarily with structured data and reporting, the vast majority of organizations TDWI surveys recognize the importance of modernizing their warehouse and analytics environment so they can scale to meet dynamic data and analytics needs.
Modernizing the warehouse can be done in many ways. Some organizations augment their existing data warehouse with newer platforms (optimized mostly for analytics) in a tightly integrated, multiplatform architecture. Others replatform their environment by migrating the warehouse data (wholly or in part) to new data platforms. We see a growing trend towards selecting data warehouse platforms that are purpose-built and optimized for cloud-native operation.
This TDWI Checklist Report examines best practices for the modern data warehouse and the modern analytics stack.
