Big Data’s Purpose & How It Impacts Privacy Management

SHARE THIS ARTICLE
Table of Contents

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.

Get more insights into data tokenization with The Ultimate Guide

Protecto
Join Our Newsletter
Stay Ahead in AI Data Privacy & Security
Snowflake Cortex AI Guidebook
Related Articles

Why Organizations Must Track & Map Data?

Discover why it’s important for organizations to track and map their data....

Leveraging AI Tokenization and Threat Detection for Data Security

Learn how data tokenization, tailored for AI, can become a game-changer for data security....

Understanding Data Protection Landscape – Key Roles In Data Privacy

Gain a deeper understanding of the data protection landscape with Protecto....

Download Playbook for Securing RAG on Snowflake Cortex AI

A Step-by-Step Guide to Mastering Enterprise-Grade RAG Security on Snowflake.