What is Big Data?
Big data refers to a massive size of data both structured, unstructured
and semi-structured, which is so large and complex, hence it is almost
impossible to store or process it within the traditional methods.
Structured Data: It is the traditional form of data storage
since these type of data contains rows and columns which makes it easy to search,
organise and analyse. SQL databases and Excel files can be given as examples of
structured data.
Unstructured Data: Opposed
to structured data, unstructured data do not have predefined fields or data
model. With the rising trend of social media; images, audio, video, text file types
of data started to dominate the data world.
There is no doubt that the lack of structure makes it difficult to
manage, however (Marr, 2019) “ The
recent proliferation of artificial intelligence and machine learning algorithms
made it easier to process.”.
Semi-Structured Data:
It is another type of data between structured and unstructured since it has nonrigid
unstructured characteristics which give to data analysts the ability to read it.
Even the concept of big data was coined in the 90s, a great
number of the businesses now appreciate the value of data which might be captured
and analyzed with the purpose of revealing the relationships between the variables
and the trends.
Big data might be used for strategic business decision
makings after the analysis processes with an emphasis on cost reductions, time
reductions, optimisation, and deep learning. As Wayne Thompson, SAS Product
Manager, said “Deep learning craves big data because big data is necessary to isolate
hidden patterns and to find answers without over-fitting the data. With deep
learning, the more good quality data you have, the better the results.”
Big data enable businesses to use advanced analyses methods
like text & predictive analytics, data mining, machine learning and natural
language processing in the manner of getting deep insights to make the optimal
and time-efficient decisions.
References
Sas.com. (2020). Big
Data: What it is and why it matters. [online] Available at:
https://www.sas.com/en_us/insights/big-data/what-is-big-data.html [Accessed 23
Jan. 2020].
Marr, B. (2019). What’s The Difference Between
Structured, Semi-Structured And Unstructured Data?. [online] Forbes.com. Available at:
https://www.forbes.com/sites/bernardmarr/2019/10/18/whats-the-difference-between-structured-semi-structured-and-unstructured-data/#c2b7bbd2b4d3
[Accessed 30 Jan. 2020].
Big Data to businesses nowadays is what oxygen is us to humans!! Thank you for enlightening us upon it!
ReplyDeleteYes it is true, indeed it is like oxygen for us
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ReplyDeleteI really liked how you highlighted deep learning technology's dependency on big data. Many futuristic technologies are dependent on deep learning and this positions big data as a very important factor in the success of other future technologies.
ReplyDeleteYes, deep learning is the crucial part
DeleteThe Big data topic is on demand and it's always pleasure to gain more information about it. Thank you.
ReplyDeleteInteresting and well written, Big Data has many topics to be studyed and this is a good start!
ReplyDeleteVery well written. Yes, deep learning is an important tool for Big Data analysis to extracts massive amounts of data without involvement of human.
ReplyDeleteThank you, yes deep learning is an excited tool for big data analysis
DeleteVery well written and informative.
ReplyDeleteWell written and very insightful. Keep up the good work!
ReplyDeleteRelevant definition of big data, very clear and well explained
ReplyDelete