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AI Influence on big data
Traditional machine learning algorithms and systems were developed with the assumption that data will fit in memory however in the realm...
Data in motion: IBM's Big data analytics case study
The case study for data in-motion is picked from IBM’s big data and analytics hub and located at below URL titled as “Real-time analysis...
Big data visualization tools
There are lots of great visualization tools available for big data, some of those are: 1. Tableau 2. Microstrategy 3. Alteryx...
Big Data Analytics: Telecommunications Industry use Case
With the proliferation of always connected data hungry devices ranging from smart phones, tablets, connected cars, internet of things and...
Preprocessing of data
Background Quality of business intelligence extracted from a data set by employing data mining techniques using any framework does not...
Big Data Analytics in Society
Availability of processing power and storage space at a decreasing cost with intelligent software tools to parse big data set has spread...
Data Analytics Lifecycle
The life cycle of data analytics is broken into six major phases as discovery, data preparation, model planning, model execution,...
Medical Diagnostics using Big Data Analytics
Sowmya and Sravanthi (2017) define big data as the one which is huge and can not be efficiently processed using traditional data...
NoSQL - CouchDB and MongoDB
Big data is the primary driver behind NoSQL databases, which require storage of large volume with little or no structure, rapid...
International Law impacting big data analytics in healthcare
Big data analysis on health care data promises improved care for patients, even improved outcomes for patients and lower the cost of...
NoSQL for Health Informatics Data Analytics
Health care information system usually consists of patient’s data related to clinical and medical activities (Yu, Kollipara, Penmetsa &...
Big Data Analytics Framework
Sowmya and Sravanthi (2017) define big data as the one which is huge and cannot be efficiently processed using traditional data...
Cloud Computing in Healthcare
Cloud computing in health care industry is propelled by requirements to cut operational cost and improve the quality of care (Raza,...
Data Audit for Health Informatics
Yeagley (2015) defines audits as periodic validation of the IT security implementation of an enterprise by a certification authority....
Data in Motion
Big data analysis can be applied to gain useful insights from data in-rest as well as data in-motion (INAP, 2019). Data in-rest is...
Data broker in Healthcare
Leetaru (2018) outlined that even if someone is not using social media but their mere use of pharmacy for a refill result in sharing...
Big Data Framework
Network Architecture On a high level, a framework of big data based analytical network architecture will be consisted of input data,...
Performance Issues of data generated by IoT
Atzori, Antonio and Morabito (2010) highlighted some of the high level issues related to the Internet of Things (IoT), which include...
Web 1.0
Miranda, Isaias and Costa (2014) define Web 1.0 as a content delivery platform where content was static and websites were mostly based on...
