Big data architecture is rapidly evolving due to the recent dramatic growth of information. People search for useful information and at the same time generate more information. Efficiently retrieving information and effectively managing it becomes a big challenge. We need a comprehensive, high-performance architecture to support big data.

This paper investigates the evolution of big data architecture in terms of big data governance and a data ingestion strategy. Furthermore, it lists the challenges of big data, including security and privacy, usability, high performance, information management, and business models. The authors provide a solution to those challenges with big data business intelligence management (BDBIM).

In the end, Mohammad et al. conclude that the environment of an organization affects how the end results will be produced. They also mention the central concept of big data architecture: “data is either streaming in or some [extract, transform, and load, ETL] processes are in progress with an organizational environment with which they have some sort of relationship.” Overall, the paper points out the problems in the current architecture and the trend of big data architecture. I agree that this area still needs more effort from the research community.