How Blockchain Can Overcome Big Data Challenges - PowerPoint PPT Presentation

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How Blockchain Can Overcome Big Data Challenges

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Inorder to understand the impact of blockchain in big data, We just have to understand the challenges of big data. Just like every other industry, big data is also facing some technical challenges and looking for a better solution that could pave the way for it. Big data is already in the top of the superior level technologies list, so in order to enhance such technology and driving it in a smooth manner, there must be a another superior level technology. So, while finding a way to resolve the challenges in big data industry there is no way, only blockchain has found to be the pain killer for the risks in data science – PowerPoint PPT presentation

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Date added: 25 June 2019
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Title: How Blockchain Can Overcome Big Data Challenges


1
Blockchain Use Cases
  • In Big Data

2
Big Data In Blockchain
  • We all must have to understand both the
    technologies are dealing with data. Blockchain is
    in terms of ensuring the data storage, privacy
    and hence to increase the data integrity, where
    as the big data deals with data in terms of
    ensuring the data quantity, variety ,velocity in
    order to bring better predictions.
  • So simply we can say like this,
  • Big Data Ensures Data Quantity
  • Blockchain Ensures the Data Quality
  • Quantity and Quality are very important when the
    handling of data is large hence risky. So, the
    only place where these two technologies can meet
    each other is, if there is a need of ensuring
    both data quality and data quantity.

3
Big Data Challenges and How Blockchain Could
Resolve the Challenges ?
Inorder to understand the impact of blockchain in
big data, We just have to understand the
challenges of big data. Just like every other
industry, big data is also facing some technical
challenges and looking for a better solution that
could pave the way for it. Big data is already in
the top of the superior level technologies list,
so in order to enhance such technology and
driving it in a smooth manner, there must be a
another superior level technology. So, while
finding a way to resolve the challenges in big
data industry there is no way, only blockchain
has found to be the pain killer for the risks in
data science.
4
Big Data Challenges
Security Challenge Datas are highly insecure
when they stored in a centralized server,so there
is a big chance for data hacks to occur while we
handing large amount of data in central cloud
servers. Handling The Quantity The word big
data is enough to explain this, as day passes,
the floating of data attains an exponential
growth everywhere. This becomes the risk for
enterprises to handle data in one single or in
multiple servers. Identifying the Malicious
Data As the datas are in heavy in volume, it
is very time consumptive to segmentize the dirty
data and filter out the real data. This is like
finding a black paper in a dark room.
5
Big Data Challenges
Understanding The Type of Data Big data is a
collection of structured and unstructured data.
In just 10 years we have gone through a massive
digital growth. People are using smart devices,
website and applications, hence this results in
inefficiency of identifying what kind of data is,
and segmenting it into a certain data
panel. Cost Management Businesses have to
invest a separate amount in order to setup a data
warehouse and proceed data acquisition, ETL, data
validation, data modeling, data visualization and
etc. Whenever the data floating increases it
increases the cost of data Management.
6
Big Data Challenges
Innovation of New kind Of Data analytics Tools
and Softwares As datas are getting varied in
volume,velocity, and variety, big data scientist
have to adopt with a big data tool that could be
apt for handing a certain kind of data sets.
Check out the top 20 big data tools
2019. Meeting the Time frame? Data have to be
handled on time, because every second the world
is generating billions of data in terabytes. So
if we missed out a milli second the data will be
dumped in to existing data sets. According to big
data analytics it is a very risky from the
beginning, data analyst have to analyze data on
time to bring better predictions.
7
Blockchain Use Cases In Big Data
  • Blockchain generated big data, which is secured,
    and cant be hacked as it is tightened with
    network architecture. ? Blockchain based big
    data, is become more valuable as it can easily
    differentiate structured and unstructured data.
  • Blockchain ensures Data integrity and hence trust
  • Ensures data security
  • Increases Computational power in predictive
    analytics
  • Real Time Data Analysis Become possible
  • Provides access to data sharing

8
Real life example of Big data with Blockchain?
  • Storj
  • Filecoin
  • Omnilytics
  • Datum
  • Rublix
  • Provenance

9
Blockchain in Big Data Future Statistics
?According to infoworld, The worth of blockchain
ledger could be nearly 20 of toal big data
market in 2030, and will cultivate a massive 100
billion as annual revenue. Refer infoworld
10
Originally published Article How Big Data Can Be
Used With Blockchain?
www.bibrainia.com
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