Notice: Undefined offset: 0 in /home/dbslmic1/public_html/wp-content/plugins/schema/includes/json/category.php on line 105

Notice: Trying to get property of non-object in /home/dbslmic1/public_html/wp-content/plugins/schema/includes/json/category.php on line 105

Big Data

Big Data is also data but with a huge size. It is a term used to describe a collection of data that is huge in size and yet growing exponentially with time. In short such data is so large and complex that none of the traditional data management tools are able to store it or process it efficiently.

It is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.

Big data was originally associated with three key concepts: volume, variety, and velocity. When we handle big data, we may not sample but simply observe and track what happens. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value.


No posts to display

ARE YOU READY? GET IT NOW!
Thank you for visiting!
Subscribe for Our NewsLetter and receive Weekly Tech Whitepapers to your Inbox!!
Our email is sent once every month and your details will NEVER be shared or sold to a 3rd party.
Subscribe to Newsletter
Our email is sent once every week and your details will NEVER be shared or sold to a 3rd party.