
The research looks at the concepts associated with data warehousing. These include; cloud computing and big data analytics. By analyzing the growth of these technologies, it is possible to tell the trend in which data will take in the coming future. A lot of data is in use at the moment in very large packets and volumes. The technologies that are associated with data use are associated with data use are immense and greatly spread across all computing gadgets in use. Cell phones, microcomputers, and other computing gadgets all take advantage of data warehousing technology. The research presents a case for the proliferated use of big data technologies across the world. Data use, and data users are separated using the concept of ‘abstraction.’ As users continue to use big data analytics and warehousing more often, they are less aware of the dangers and concerns in the use and reliance of virtual computing facilities. The study seeks to establish the influence of current technologies on data warehousing and how they lead to the growth of data storage units across the globe. The survey on data warehousing trends is focused on software technologies that highly rely on the data warehousing facilities. Social media is acknowledged as one of the leading factors behind the growth of data warehousing facilities.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
