Survey Big Data Analytics, Applications and Privacy Concerns

Background/Objectives: The sources of big data are social media, enterprise data, unstructured data, sensor and clickstream data. The objective is to integrate this variety of data at one platform for processing the big data and find privacy concerns. Methods: The privacy concerns are raised due to unauthorized data extraction, collection and sharing information about user. For integrating and processing of big data; different tools and techniques are available. Findings: General framework for privacy preserving is discussed. Advancements in the big data analytics methods have posed different challenges in front of user. Due to large volume and variety of big data many organizations cannot process the data and needs to outsource it. While sharing such data for processing; there is need to apply proper privacy preserving measures. Application/Improvements: Privacy preserving techniques have applications in electronic health record processing, government surveys, outsourcing enterprise data for processing.