How Blockchain Can Be Used In Big Data Analytics

Blockchain Use Cases
In Big Data

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,
1. Big Data Ensures Data Quantity
2. 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.

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.

Big Data Challenges
Security Challenge
Data’s 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 data’s 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.

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.

Big Data Challenges
Innovation of New kind Of Data analytics Tools and Softwares
As data’s 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.

Blockchain Use Cases In Big Data
Blockchain generated big data, which is secured, and can’t 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.
1. Blockchain ensures Data integrity and hence trust
2. Ensures data security
3. Increases Computational power in predictive analytics
4. Real Time Data Analysis Become possible
5. Provides access to data sharing

Real life example of Big data with
Blockchain
● Storj
● Filecoin
● Omnilytics
● Datum
● Rublix
● Provenance

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

Originally published Article
How Big Data Can Be
Used With Blockchain?
www.bibrainia.com

How Blockchain Can Be Used In Big Data Analytics

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