As a part of this connected world through our devices,
the revolution of Big data is nowadays a big stake of our lives even though some
of us might not be aware of it.
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The term refers to a large amount of information
collected thanks to different tools.
A huge amount of data sets gathered together and available
to an organization characterized by its volume (mostly counted in more than one
petabyte), velocity, complexity/variability.
According to Forbes, 2.5 quintillion bytes of data created every day.
Regarding public data, it exists many data points such as social media, internet browsing, location, purchases and so on.
Big data can be analyzed by using two different
techniques:
- The Batch Processing: It is used when the organization
have been detaining a large amount of data for a short period of time and
proceed it at a certain to get results regarding a question or a situation (for
example when a bank wants to analyze all the transactions that have
been made during a day or more). This technique takes more time regarding the
amount of data proceeded.
- The Steam Processing: It is used when experts
want real-time results.
Once the data is collected, directly proceeded,
and results are generated.
It is used in some industries as a way to detect
frauds.
Data analysis experts can analyze and understand a population
behaviors, in order to readjust companies’ strategies, communication, and targeting.
The understanding of these data can result in what we
can call a “social mirror” of our society.
And not only big data is used in businesses and
advertising, but also in politics, sports, science... Almost every existing areas are concerned.
Which somehow, can be frightening.
Especially when you see cases such as Cambridge Analytica
and Facebook.
Everything we do or say - online, as far as we know - is
collected. EVERYTHING (almost).
Then, we can ask ourselves: Where all this is going to
end?
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Sources:
- Ippolito, P. (2020). Big Data Analysis: Spark and Hadoop. Medium.
Available at: https://towardsdatascience.com/big-data-analysis-spark-and-hadoop-a11ba591c057
- Looker. (2020). Big Data Definition. Available at: https://looker.com/definitions/big-data
- Vaseekaran, G. (2017). Big Data Battle : Batch Processing vs Stream Processing. Medium.
Available at: https://medium.com/@gowthamy/big-data-battle-batch-processing-vs-stream-processing-5d94600d8103
- Lohr, S. (2012). The Age of Big Data. Nytimes.com.
Available at: https://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.html
