What are some Real-Life Challenges of Big Data? | JanBask Training

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Real-Life Challenges of Big Data

Learning Objectives
 Acceptance of big data
 Confusing variety of big data technologies
 Big data on-premises vs. in-cloud costs
 Complexity of managing data quality
 Data from diverse sources
 Unreliable data
 Dangerous big data security issues
 Recruiting and retaining big data talent
 Troubles of upscaling
 Conclusion

What is Big Data
Big data - refers to the big clusters of data that is
generated every day by millions of people all across
the globe. It has provided many benefits to the
companies who use it as a tool to understand their
data and take conscious business decisions based on
it. It is an evolving field and has got some real
challenges too.

#1: Insufficient understanding and acceptance of big data
#2: Confusing variety of big data technologies
#3: Expenses – Big data on-premises vs. in-cloud costs
#4: Complexity of managing data quality
#5: Dangerous big data security issues
#6: Recruiting and retaining big data talent
#7: Troubles of upscaling

Challenge #1
Insufficient understanding and acceptance of big data
 Organizations neglect to know even the very basics of
Big Data Advantage
 Clear comprehension
 Organizations may burn through bunches of time and
assets on things

Challenge #2
Confusing variety of big data technologies
 Do you need Spark or would the paces of Hadoop
MapReduce be sufficient?
 Is it better to store information in Cassandra or HBase?
 Finding appropriate responses can be precarious.

Challenge #3
Expenses - Big data on-premises vs. in-cloud costs
 You'll need to mind the expenses of new equipment,
new contracts, power, etc.
 you'll have to pay for the advancement, arrangement,
setup, and support of new programming.
 If you settle on a cloud-based huge information
arrangement, regardless you'll have to contact staff (as
above) and pay for cloud administrations

Challenge #4
Data from diverse sources - At some point or another, you'll keep running into the issue of data integration, since the data you
have to investigate originates from assorted sources in a wide range of configurations.
 E.g. web-based business organizations need to break down information from site logs
 call-focuses, contenders' site 'sweeps' and online life.
 Information configurations will contrast
Unreliable data - No one is concealing the fact that big data isn't 100% exact. And with everything taken into account, it isn't so
damaging either. The fact remains is that you never know when is it exactly and when it is with faults. It is likely to contain wrong
data and duplicate copy of itself.
 big data isn't 100% exact
 contain logical inconsistencies too
 It's far-fetched that information of a very second-rate quality can bring any helpful bits of knowledge to your business.

Challenge #5
Dangerous big data security issues
 Security difficulties of big data is seriously a huge issue
that merits an entire other article committed to this
theme.
 Big data selection tasks put security off till later stages
 The multiple times big data security just gets thrown
away.

Challenge #6
Recruiting and retaining big data talent
 Big Data Salary (Annual)
 big data analyst: $135,000 and $196,000
 data scientist’s: $116,000 to $163, $ 500
 business intelligence analysts: $118,000 to $138,750
 Manageability Deficiencies
 Many are expanding their financial limits and their enrolment and maintenance endeavors
 they are offering all the more training chances to their present staff and for the individuals
 numerous associations are looking for innovation

Challenge #7
Troubles of upscaling
 The most common component of big data is its
dramatic capacity to develop
 Your solution's structure might be thoroughly
considered and acclimated to upscaling with no
additional endeavors.
 The genuine issue isn't the real procedure of
presenting new handling and storage limits.

Conclusion
 Understanding those challenges give an upper hand
 Study these challenges well and see that you do not fall prey to any
one of them
 Experience the technology, tool, or process

Thank you
Happy learning

What are some Real-Life Challenges of Big Data? | JanBask Training

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