Mastering Data Integration for Cloud Migration

A guide to strategies for effective data integration for successful cloud migration.

According to Gartner, an estimated 85% of organizations are expected to adopt a cloud-first strategy by 2025, driven primarily by the need for data modernization. Data integration plays a crucial role in cloud migration by ensuring that data from various sources is consolidated, consistent, and accessible as it moves to the cloud.

Data integration can be complex, but the right tools can facilitate the critical details of moving data. Tools can manage everything from data extraction to transformation and loading for seamless transfer and ensure formats are standardized, de-duplicated, and consistent so data in the cloud is reliable. For organizations that need real-time or near-real-time access, data integration tools can continuously synch data between on-premises and cloud systems and minimize downtime.

Once data is in the cloud, it becomes more accessible and manageable, allowing for a unified view that is essential to trustworthy analytics and business intelligence. Integration tools also help maintain data quality and compliance by offering features for monitoring and managing data. Automation through these tools reduces the risk of errors and lowers costs by optimizing cloud storage and processing.