Please explain further

Technology choices As we look back and think about how to design the next generation of data warehouses with the concept of a workload-driven architecture, there are several technologies that have come into being in the last decade, and these technologies are critical to consider for the new architecture. A key aspect to remember is the concept of data warehousing is not changing but the deployment and the architecture of the data warehouse will evolve from being tightly coupled into the database and its infrastructure to being distributed across different layers of infrastructure and data architecture. The goal of building the workload-driven architecture is to leverage all the technology improvements into the flexibility and scalability of the data warehouse and Big Data processing, thereby creating a coexistence platform leveraging all current-state and future-state investments to better ROI. Another viewpoint to think about is that by design Big Data processing is built around procedural processing (more akin to programming language-driven processing), which can take advantage of multicore CPU and SSD or DRAM technologies to the fullest extent, as opposed to the RDBMS architecture where large cycles of processing and memory are left underutilized.