Hybrid Cloud Architecture Data Management Guide

This guide outlines the architecture considerations for managing data in hybrid cloud environments. It begins by addressing the importance of security, compliance, and business requirements in data access. The document describes two common hybrid models for data management. The first model involves replicating data from on-premise environments to cloud storage, such as Amazon S3 or Azure Blob Storage, allowing for cloud-based processing. However, this model presents challenges such as data storage costs and inconsistencies. The second model emphasizes accessing on-premise datasets directly while processing occurs in the cloud, utilizing tools like Apache Spark or Hive. This approach avoids data duplication and maintains centralized metadata and security management, ensuring consistent governance. The guide emphasizes that this model is particularly effective for burst workloads, as it allows organizations to leverage existing applications without significant redesign efforts.