Big Data’s Purpose and How it Impacts Privacy Management
Big data is a term used to describe large amounts of data- organized, semi-organized, or unstructured- that can be mined for data and used in machine learning.
Big data is frequently portrayed by the 3Vs: the extraordinary volume of data, the wide variety of data types and the velocity at which the data must be handled. Those attributes were first distinguished by Gartner analyst Doug Laney in a report distributed in 2001.
More recently, a few different Vs have been added to portrayals of big data, including veracity, value, and variability. While big data doesn’t compare to a particular volume of data, the term is regularly used to depict terabytes, petabytes and even exabytes of data caught after some time.
Organizations utilize the big data collected in their frameworks to improve operations, provide better customer service, personalize advertising based on explicit customer preferences, and further profitability.
Big Data is also used by medical researchers to distinguish disease chance elements. Data coming from electronic health records, social networking, and other data sources can help identify infectious disease threats or outbreaks.
Why is BigData important to privacy?
- Many organizations have Big Data repositories that include personal data; these are subject to privacy regulations.
- Organizations may have many users across many geographies accessing Big Data repositories. Privacy practices, policies, and controls must account for this situation.
- To fulfill data subject rights, such as data access and the right to be forgotten, Big Data repositories must be included in the rights processing.
Here are additional resources to learn more about Big Data:
- NIST, “NIST Big Data Interoperability Framework: Volume 4, Security and Privacy”
- UK ICO, ‘Big data, artificial intelligence, machine learning and data protection’
You just learned about Big Data, now explore related terms like Data Mapping, Data Lineage and Personal Data.