Weitere Kapitel dieses Buchs durch Wischen aufrufen
The volume of data is growing exponentially. By 2020, about 1.7 MB of new information will be created every second for every human being on the planet. There will also be about 6 billion smartphone users and over 50 billion smart connected devices in the world. The traditional data analysis techniques will not be scalable to match the storage and processing capabilities of such high volume of data. Moreover, it becomes important to analyse these data at real-time speed. Distributed computing and platforms, such as Hadoop, will play a vital role to process these data at real-time speed to provide users with real-time reports to help users to make critical decisions. Telecommunication industry will be one of the first industries that will need to handle big data. Most of the users are connected all the time creating multiple sessions per user as well as communicating with multiple devices creating the complex high volume of data that need to be analysed. This paper will highlight the conceptual design of a real-time business intelligence model that provides insights into the telecommunication industry.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
IDC, The Digital Universe of Opportunities: Rich Data and the Increasing the value of Internet of Things, (2014), https://www.emc.com/leadership/digital-universe/ 2014 iview/executive-summary.htm, accessed on March 26, 2017.
Konstantinos Slavakis et al, Modelling and Optimization for Big Data Analytics, IEEE Signal Processing Magazine, September 2014, (2014).
Ari, Big data and advanced analytics in telecom: A multi-dollar billion revenue opportunity, www.heavyreading.com, (2013).
Lena. T. Ibrahin et al, Online Traffic Measurement and Analysis in Big Data: Comparative Research Review, American Journal of Applied Science, (2016), 13(4): 420.431.
Jacques Bughin, Reaping the benefits of big data in telecom, Journal of big data, Bughin J Big Data (2016) 3:14.
IDG. IDG enterprise big data research. 2014. Available at http://www.idgenterprise.com/report/big-data, accessed on March 30, 2017.
Guoshuai Zhao et al, Service Ratings Prediction by Exploring Social Mobile Users’ Geographical Locations, IEEE Transactions on Big Data, Volume 3, Issue 1, (2017), pp 67–78.
Konstantin Shvachko, Hairong Kuang, Sanjay Radia and Robert Chansler, The Hadoop file distributed systems, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), (2010).
Jitendra Bhatia and Preet Gandhi, Apache Spark: The Ultimate Panacea for the Big Data Era, http://opensourceforu.com/2017/01/apache-spark-the-ultimate-panacea-for-the-big-data-era/, (2017), accessed on March 29, 2017.
Huawei Support, BRAS Access Configuration, Huawei Support Documentation, http://support.huawei.com/enterprise/docinforeader.action?contentId=DOC1000079702&partNo=10072, access on April 15, 2017.
- Real-Time Business Analytical Model Using Big Data Strategies for Telecommunication Industry
- Springer Singapore
Neuer Inhalt/© ITandMEDIA