Page 124 - Contributed Paper Session (CPS) - Volume 6

CPS1847 Shariful I.
by the data at times, thus hampering the process of being able to
handle and manage the data effectively
5. Veracity- The quality of the data being captured can vary greatly.
Accuracy of analysis depends on the veracity of the source data.
6. Complexity- Data management can become a very complex process,
especially when large volumes of data come from multiple sources.
These data need to linked, connected and correlation in order to be
able to grasp the information that is supposed to be conveyed by these
data. This situation, is therefore, termed as ‘complexity’ of Big Data.

3. Result of Big Data
Big Data applications designed to efficiently and easily collect, archive,
display, transform, and process large sets of structured and unstructured data.
Cloud-based strategies to provide access to data no matter where it resides
inside or outside the organization. Analytics suites that contain automated
capabilities, an open architecture, and a standards-based framework
necessary to support activity-based intelligence. Dynamic capabilities that
enable data integration from across the enterprise without the need for a
lengthy process and costly rigid data warehouse integration. The ability to
analyse big data provides unique opportunities for your organization as well.
It shall be able to expand the kind of analysis can do. Instead of being limited
to sampling large data sets, we can now use much more detailed and complete
data for analysis. However, analyzing big data can also be challenging.
Changing algorithms and technology, even for basic data analysis, often has
to be addressed with big data.

4. Discussion and Conclusion
4.1 Big Data analytical tools
Analyzing Big Data can be very cumbersome and challenging. There is no
particular software that can be used for the analysis. Different enterprises use
different tools for Big Data analysis: However, the tool to use depends on the
type of the data one needs to analyze. The choice of tools can also affect the
quality of data one needs to analyze. The choice of tools can also affect the
quality of data which can have a significant impact on analysis. Data can be
analyzed both structural and unstructured data (Big Data) by different tools.
Some tools are open wares while others are commercial and very expensive.

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