Aryan Grover
Volume 3, Issue 1 2019
Page: 1-9
Background/Objectives: The sources of big data are social media, enterprise data, unstructured data, and sensor andclickstream data. The objective is to integrate this variety of data at one platform for processing the big data and findprivacy concerns. Methods: The privacy concerns are raised due to unauthorized data extraction, collection and sharinginformation 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 poseddifferent challenges in front of user. Due to large volume and variety of big data many organizations cannot process thedata and needs to outsource it. While sharing such data for processing; there is need to apply proper privacy preservingmeasures. Application/Improvements: Privacy preserving techniques have applications in electronic health recordprocessing, government surveys, outsourcing enterprise data for processing.
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