Big Data Usage
Tilman Becker · 2016
Big data usage covers the business goals that need access to data, its analyses, and integration into business decision-making. This chapter gives an overview of the applications of big data, focusing on decision support through big data in different sectors. Big data usage is a wide field that is addressed in this chapter by viewing data usage from various perspectives, including the underlying technology stacks, trends in various sectors, the impact on business models, and requirements on human–computer interaction. The chapter explores data usage tools, query and scripting languages, execution engines, APIs, programming models, different technology stacks, and some of the trade-offs involved are discussed. The chapter presents general aspects of decision support, followed by a discussion of specific access to analysis results through visualization and new explorative interfaces. Emerging trends and future requirements are presented with special emphasis on Industry 4.0 and the emerging need for smart data and smart services. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.