CHALLENGES AND ISSUES IN BIG DATA

  • M.Meena Krithika Assistant Professor, Department of CS, NGMC, Pollachi,
  • K.Kannika Parameswari Assistant Professor, Department of CS, NGMC, Pollachi
  • K. Gayathri Assistant Professor, Department of CS, NGMC, Pollachi,
Keywords: Big Data, Challenges in Big Data,, Issues in Big Data.

Abstract

The espouse of data-driven determination
making is being conceived broadly, and
there is enlarging excitement for the idea of
"Big Data". While the espouse of Big Data
is genuine, there is parallel gap within its
potentiality and its attainment.
Heterogeneity, complexity, timeliness,
progress, and recession problems with Big
Data prevent proceeding at all stages of the
pipeline that can produce value from data.
The obstacle starts instantly during data
appropriation, when the data obligate us to
make determination currently in an ad hoc
manner. Most of the data is not related in
structured format.
The assessment of data blow up when it can
be combined with another data, thus data
adherence is a greater creator of evaluation.
Since many data is instantaneously
originated in digital format today and we
have the scope and denounce to persuade the
creation to propitiate subsequently and to
automatically link previously completed
data. Data analysis, association, gathering
and modeling are other basic challenges.
Data analysis is a open bottleneck in several
applications, both due to requirement of
scalability of the domestic algorithms and
due to the complication of the data that
needs to be resolved.
The many unique challenges and
opportunities comparable with Big Data
involve rethinking several outlooks of these
data management stages, while maintaining
other beneficial aspects. We conclude that
particular investment in Big Data will lead
to a new wave of fundamental technological
growth that will be embodied in the next
origination of Big data management and
analysis platform.
We conclude that these research issues are
not only instant, but also have the ability to
create large economic value in the economy
for years to come. However, they are also
difficult and requiring us to rethink data
analysis systems in crucial ways. A
dominant investment in Big data, efficiently
directed, can flow not only in major
scientific advances, but also lay the footing
for the next origination of advances in
medicine, science, and business.

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Author Biographies

M.Meena Krithika, Assistant Professor, Department of CS, NGMC, Pollachi,

Assistant Professor, Department of CS, NGMC, Pollachi,

K.Kannika Parameswari, Assistant Professor, Department of CS, NGMC, Pollachi

Assistant Professor, Department of CS, NGMC, Pollachi

K. Gayathri, Assistant Professor, Department of CS, NGMC, Pollachi,

Assistant Professor, Department of CS, NGMC, Pollachi,

Published
2016-12-31
How to Cite
Krithika, M., Parameswari, K., & Gayathri, K. (2016). CHALLENGES AND ISSUES IN BIG DATA. IJRDO -Journal of Computer Science Engineering, 2(12), 37-41. https://doi.org/10.53555/cse.v2i12.858