The concepts and architectures of a data warehouse, data lake, and data streaming are complementary to solving business problems. Storing data at rest for reporting and analytics requires different capabilities and SLAs than continuously processing data in motion for real-time workloads. Many open-source frameworks, commercial products, and SaaS cloud services exist. Unfortunately, the underlying technologies are often misunderstood, overused for monolithic and inflexible architectures, and pitched for wrong use cases by vendors. Let’s explore this dilemma in this article and learn how to build a modern data stack with cloud-native technologies.

Data Warehouse Modernization

Many people talk about data warehouse modernization when they move to a cloud-native data warehouse. What does data warehouse modernization mean? Why do people move away from their on-premise data warehouse? What are the benefits?

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