Succeeding With Analytics in the Cloud

Cloud adoption is growing exponentially, and it is a key enabler to every digital transformation. As organizations move to the cloud for agility, scalability, and flexibility, they are adopting cloud-native, intelligent, and automated solutions and multi-cloud platforms. Over 80% of workloads are expected to be run in the cloud this year 1 and the same number are expected to move between clouds.2

At the same time, organizations moving to the cloud are consolidating and modernizing their traditional on-premises data warehouses and data lakes to take advantage of cost savings and operational efficiencies of the cloud. Cloud and analytics modernization go hand-in-hand. A recent study by Deloitte 3 found that 65% of C-level respondents see data modernization as a driver for cloud migration.

To support their cloud analytics initiatives, organizations are adopting cloud data warehouses, data lakes, and lakehouses (which combine the benefits of cloud data warehouses and data lakes into one data platform). But common data management mistakes can hinder organizations on their journey to analytics modernization and ROI. This is also true for organizations starting new data warehouses and data lakes in the cloud, whether for the first time or for new departments.

The good news is that proven, cloud-native and automated cloud data management strategies for modernizing analytics in the cloud are available to accelerate your journey and finally realize the expected ROI from your investments. Let this eBook serve as your guide to modernizing analytics in the cloud.