"Good" hardware is integral for a data warehouse and its software to function efficiently, and the architect of the warehouse must be "hardware aware". As each hardware and software technology advances, so do data warehouses with the advent of, for example, new nonvolatile memory (NVM) and high-speed networks for base support. This article focuses on the need to develop and adopt new management and analysis methods.
Conclusion
The new hardware and its constructed environment will deeply influence the architecture of the entire computing system and change the previous assumptions of the upper-layer software. While providing higher physical performance, software architectures and related technologies for data management and analysis are also required to sense and adapt to the new hardware features. The new hardware environment has made the trade-off between data management and analytics system design space more complex, posing multidimensional research challenges. In the future, there is an urgent need to break the oldness of the traditional data management and analysis software. It is also necessary to manage and analyze the core system functions based on the characteristics of hardware environments and explore and research new data processing modes, architectures, and technologies from the bottom up.