Abstract
The study was aimed at examining big data management in three telecommunication companies. The case of Big Data management was studied using a qualitative research approach with the primary method of open-ended interview. Websites and documents were examined for developing company profile. Observations augmented data collection from other sources. Companies have widespread operations with substantial stakes. Big Data was managed by using diverse systems such as Cloudera Data Hub (CDH) and SaaS. For data security, these companies made different arrangements. Three companies used big data systems for diverse functions and applications. These companies needed to develop competent professionals for data management, security, and other applications. It was a study of its own kind conducted in this context. Companies in different sectors may benefit from these findings and suggestions. This study may have wider implications for regional organizations. These are credible findings for these companies in managing big data. Other companies may also benefit from these findings. Key words: Big data, telecommunication companies, data security, big data management.
Highlights
Telecommunication companies need to deal with Big Data
Big Data must be secured by setting policies and regulations
Big Data is managed in view of the specificities of each enterprise
Summary
Telecommunication companies need to deal with Big Data. Big Data is a combination of structured and unstructured data that need advanced statistical and instructional methods. ''Big Data combines information from diverse sources to create knowledge, make better predictions and tailor services‟‟ (Martin, 2015: 11).Big Data must be secured by setting policies and regulations. Telecommunication companies need to deal with Big Data. Big Data is a combination of structured and unstructured data that need advanced statistical and instructional methods. Big Data must be secured by setting policies and regulations. There is a relationship between Big Data and privacy and security issues including collection, storing, sharing and accessibility (Kshetri, 2014). The challenge of preventing advanced threats must be solved using Big Data analysis. Both data security and data privacy are needed for telecommunication companies and organizations. Big Data security saves organizational data from being misused and stolen by hackers or competitors. Most companies use security policies to protect their Big Data analyses
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
