Exploring Strategies to Transition to Big Data Technologies from Data Warehousing Technologies

Due to innovation and technological improvements, organizations can now capture and store massive amounts of data from various sources and domains. This increase in data volume resulted in traditional tools used for processing, storing, and analyzing big data becoming increasingly inefficient. Grounded in the Extended Technology Acceptance Model (TAM2), this qualitative multiple case study explored the strategies data managers use to transition from data warehousing to big data technologies. Participants included data managers from organizations based in Munich, Germany. Four major themes emerged. Organizations can use these findings to implement best practices for successful big data implementations as well as improve products and services offered.

Recommended Citation

Fortem, M. J. (2020, October 1-2). Exploring strategies to transition to big data technologies from data warehousing technologies [Poster presentation]. Walden University Research Conference 2020 (online). https://scholarworks.waldenu.edu/researchconference/2020/posters/10/