Big Data: Characteristics, Challenges, Techniques, and Benefits for Organizations

Big data

Table of Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
What is big data and mention its characteristics.........................................................................3
The challenge faced in big data application and technique used for big data application..........4
Benefits of big data in an organisation with an example............................................................5
CONCLUSION................................................................................................................................6
Poster................................................................................................................................................7
REFERENCES................................................................................................................................8

INTRODUCTION
Big data is collection of variety of information from different source, the data is so
voluminous that it cannot be handled by traditional system. In this report it is to be discussed
what exactly big data is and its characteristics. Challenges used in using big data analytics and
the technique available to analysis big data. Further, benefits of big data technology for business,
and how to it should applied for benefits of firm.
MAIN BODY
What is big data and mention its characteristics
Big data is data that is considered as a voluminous data containing structured and
unstructured data collected by organisation. For taking out information the data is mined and
used for forecasting and advanced data analytics. Big data as the name suggests is huge
collection of data that is sourced from various origins and sources. This data is handled by
advanced technology, the complexity and variability does not allow traditional system to work
on data. System that process and store big data have become a common component of data
management. Big data analysis includes capturing data, storing, analysis search, sharing,
transferring, querying, visualization data source. Big data has following characteristics:
 Volume: The size of the data collected and stored is enormous. The volume of the data
decides its reliability and potential. When the data is in huge number it is useful for
getting new insights about the event. The size of bid data is larger than terabytes and
petabytes. Big data is collected from numerous resources such as blogs, website, social
sites and other ways hence it is generally unstructured.
 Variety: The data is often in semi structure and structured format, there are in numerical,
non-numerical. Unstructured data is more free form and more complex to be quantified.
The data is so complex and diversified that a conventional technique would not be able to
read such data.
 Velocity: Data is received fast and therefore quickly worked upon The velocity at which
data is processed and collected to meet the need of company. Internet and computer
science operates on real time basis requires real time data.