Basically veracity refers many types of sources and different types of data are in structured form or unstructured form which is used to stored data from source such as spreadsheets and databases. We received data in the form of emails, photo, audios and videos.
Scientists, IT business specialist more concern with big data veracity because the variety of unstructured data creates many problems like storage problem, not helpful in mining, analyzing data. Big data veracity accepts all challenges of unstructured data creates problems Solves.
All Limitations How much storage issue?
How to analyze data that helps in mining?
Find the abnormality in data? And noise in data that are store in database and clean dirty data from system or database and solved problem in meaningful form
Big data basically board terms used for dataset (large and complex traditional data) challenges of big data veracity are capturing, analysis , sharing ,transfer, search, information privacy and visualization.
Working of big data veracity is accepting the challenges that find abnormality in data
if we can normalized data in efficient form because big data contains repeating groups that makes duplication creates DML anomaly if we normalized than automatically removed dirty data and clean the dirty data on system that are in unstructured form .
if we remove dirty data than easily apply mining on system that make decision able or analyze able meaning help to solve and take decision on missing values that provides abnormality in data make the availability
This is the huge challenges to find high quality data from vast collection of data and make data availability or discovery.
The drawback of challenges of big data is who told you that data you analyzed is complete or not? good or not? that make to take a bad decisions if you base on data(bad data) because we don't know data is complete or good we analyzed future aspects that big data plays intelligent role to avoid to take bad decisions.
Growing and huge volume of data available for analyzing data in just one challenge in future provide no difficulty to find analyzed data is complete or good and verify and understandable very easily.
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