As mentioned in our previous blog, there are five V’s
of big data and they are velocity, volume, variety, value and veracity. These
are the five significant characteristics of big data. Now, velocity can be
defined as an attribute of big data that refers to how quickly data is
generated and how fast that data moves or how fast the data is processed.
Velocity is a concept that affects the data flow in a company or an
organization which ultimately affects the best as well as the most important
business decisions.
During the last couple of years, the field of
analytics has seen unparalleled growth. With emerging technologies and the
constant developments in the field of digital marketing, social media has
become an integral part of our lives. For example, on average, about 900
million photos are uploaded on Facebook every day. In addition to that,
approximately 500 million tweets are posted on Twitter and 0.4 million hours of
video is uploaded on YouTube, every single day. Google has also reported that about
3.5 billion searches occur every day. To put it in simpler terms, a high amount
of data is being generated in this digital world in the size of terabytes and
petabytes, every passing second and all of this data needs to be processed in
time so that the company or organization can continue working efficiently. Now,
when we talk about data, we don’t only mean social media data but also medical
data, banking data, transaction data, E-commerce data, business data, etc. As
far as data processing is concerned, it specifically refers to the collection
and manipulation of data to produce accurate information. However, in order
to process the huge amount of data, several software, frameworks, tools and
database file systems are essential.
Furthermore, there are various types of data
processing such as:
· Batch
processing
Data is collected and processed in
batches. This method is used for large amounts of data, for example, the payroll
system.
· Real-time
processing
In this method, as soon as the input
is given, data is processed within no time. However, this method is used for
small amounts of data such as customer service systems.
· Online
processing
In this method, data is automatically
fed into the CPU as soon as it is made accessible. This method is used for the continuous
processing of data and the best example is bar code scanning.
· Multiprocessing
In this particular method, also known as parallel processing, data is
broken down into smaller frames and processed using two or more CPUs within a
single computer system. Multiprocessing is essential for weather forecasting.
· Time-sharing
As suggested by its name, in this
method, data and computer resources are allocated in time slots to several
users, simultaneously. Android, iOS and Chrome OS are just a few examples of
time-sharing.
With the implementation and execution of adequate
security algorithms and protocols, it can be guaranteed that the data and
processed information, both are kept safe while being stored securely without any
unauthorized access or change. Data processing has had quite a huge impact on
the healthcare industry. It is no mystery that the healthcare system in every
country needs to run smoothly and as efficiently as possible. Most of the data
included in this system are classified, confidential and time-sensitive, such as
medical records or insurance records. Medical institutions and hospitals in developing
countries such as India have started going digital, as far as the medical history
of patients is concerned. This has made the lives of patients as well as the
medical staff, so much easier since the retrieval of medical data is quicker which
ultimately helps save lives. Looking up raw data and selecting relevant
information for every different patient, each of them with their very own unique
set of problems, is not really practical anymore. If it wasn’t for data
processing, most of this information would have still been on paper, making it
uncomfortable and inconvenient, not only for patients but also for the companies
and hospitals. The time spent on finding and accessing the data is now put to better use, resulting in a competent system. The healthcare industry has been
completely transformed ever since the introduction of digitization. One must also consider the fact that this has proven to be a very
cost effective method as it results in the increment of the company or
organization’s overall performance while also ruling out unnecessary steps that
could thwart the entire method of data processing.
Nonetheless, every company and organization must
ensure that data management as well as data storage is not slower than data
production and that every outdated piece of information is eliminated. If not,
the flow of data processing will be severely disturbed, consequently causing a significant
damage.
Author: Sanjana Cyriac
Keywords: #bigdata #velocity #dataprocessing #health #healthcare #fitness #socialmedia #socialmediamarketig #digitalmarketing #marketing #agency #agencymarketing #seo #blog
References:
- SearchDataManagement. 2022. The 5 V's of Big Data. [online] Available at: <https://www.techtarget.com/searchdatamanagement/definition/5-Vs-of-big-data#:~:text=on%20the%20market.-,Velocity,the%20best%20business%20decisions%20possible.> [Accessed 26 March 2022].
- Blogs.sap.com. 2022. What is Big Data and Why do we need Hadoop for Big Data? | SAP Blogs. [online] Available at: <https://blogs.sap.com/2019/06/24/what-is-big-data-and-why-do-we-need-hadoop-for-big-data/> [Accessed 26 March 2022].
- Zadeh, A. H., Zolbanin, H. M. and Sharda, R. (2021) ‘Incorporating Big Data Tools for Social Media Analytics in a Business Analytics Course’, Journal of Information Systems Education, 32(3), pp. 176–198. Available at: https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,shib,cookie,url&db=lls&AN=153280327&site=eds-live (Accessed: 29 March 2022).
- Coforge Salesforce Business Unit. 2022. Understanding the 3 Vs of Big Data - Volume, Velocity and Variety - Coforge Salesforce Business Unit. [online] Available at: <https://www.coforge.com/salesforce/blog/data-analytics/understanding-the-3-vs-of-big-data-volume-velocity-and-variety/> [Accessed 29 March 2022].
- Aravinth, S. S. et al. (2022) ‘Study and Analysis of Various Big Data Analytics Tools for Data Processing’, Grenze International Journal of Engineering & Technology (GIJET), 8(1), pp. 773–779. Available at: https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,shib,cookie,url&db=iih&AN=155858547&site=eds-live (Accessed: 29 March 2022).
- 2022. [online] Available at: <https://www.simplilearn.com/what-is-data-processing-article#:~:text=There%20are%20three%20main%20data,%2D%20manual%2C%20mechanical%20and%20electronic.> [Accessed 30 March 2022].
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Very well written and explained. Velocity is the pace of data flow in any organization or business. For every organization has IOTs, social media channels, computer and mobile data, this means that there is data coming from all these devices at different rate and the data getting collected on daily basis is also very large. Handling velocity of this real-time data can enable researchers and organizations make useful judgments that generate strategic competitive advantages and ROI. The point that said managing and storing data should not be slower than data production to avoid any sort of damage was really something to keep in mind.
ReplyDeleteFor many people, the five V's of big data is a new concept to learn about. Healthcare data makes up a sizable amount of the data that is transmitted around the globe. As the Internet of Things, medical gadgets, machine learning, computational linguistics, and other revolutionary data creation and processing techniques advance, the figures will continue to climb. This blog focuses on the Velocity portion of the concept and goes into every detail. Personally, I believe this is an extremely important topic that is frequently overlooked. It helped me realize how quickly data is generated in today's environment and how much of an impact it has on organizations. The figures cited in the Facebook, Youtube, and other internet instances are astounding. Many business owners who are new to this notion can benefit from this information. The various types and stages of data processing help to simplify the overall notion. Overall, it's a very helpful and educational blog.
ReplyDeleteIn the world of health and wellbeing, the concept of velocity is fascinating. It's also fascinating to see how it affects the industry and how it functions. It also provides the advantages, types, and results of your investigation. Cost savings, convenience of use, and the ability to treat those with low quality or in rural areas are just a few of the benefits. The UN group does not have access to a doctor or clinic in the area. The use of velocity has risen considerably in the last decade as a result of these considerations. In the United States, seventy-six percent of hospitals now use velocity to connect doctors and patients remotely, up from thirty-five percent a decade ago. Velocity has become even more critical during the coronavirus (COVID-19) epidemic.
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