How to manage data integration with hybrid cloud

The text discusses the importance of bi-directional data movement and low latency in effectively integrating data between on-premises systems and the cloud for real-time analysis. It highlights that as more organizations adopt cloud technologies, they often use them for analytical purposes due to their scalability and cost-effectiveness. The text also emphasizes the need for thorough testing during cloud migrations of operational systems to ensure similar or better performance than existing on-premises systems. Additionally, it provides best practices for ensuring a smooth data integration process that delivers high performance, security, and availability across all heterogeneous data sources. These include learning the impact on operations, considering bi-directional data movement, and prioritizing low latency during migration. The text also mentions how change data capture technology can enable near real-time updates to analytical environments by reading changes from a database transaction log.