Architectural Patterns for Integrating Data Lakes into Data Warehouse Architectures

摘要

Data Warehouses are an established approach for analyzing data. But with the advent of big data the approach hits its limits due to lack of agility, flexibility and system complexity. To overcome these limits, the idea of data lakes has been proposed. The data lake is not a replacement for data warehouses. Moreover, both solutions have their application areas. So it is necessary to integrate both approaches into a common architecture. This paper describes and compares both approaches, shows different ways of integrating data lakes into data warehouse architectures.