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big data is not an individual concept that can
stand on itself it is a blend of old and new
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technologies big data is huge quantities of
complex data that has been created over ages
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and why complex data because some data
is structured and stored in traditional
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relational databases while a lot of it is
unstructured hello Learners welcome back to
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constant Learners I hope you're all doing well
and not stressing too much about studies work or
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just life we've already discussed big data and
a lot of Concepts surrounding it in the past
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let's take a quick revision to finally understand
what are the three main sources of Big Data let's
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start with the term Big Data big data as we know
that it is huge quantities of data right how huge
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in 90s even gigabyte was a lot of data right but
today a few terabytes or even petabytes is being
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generated and this is known as Big Data can you
believe that this much of data is being generated
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through multiple different sources why do we
need so much of data how is it generated how is
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it stored or managed what is the use of this data
these are some important questions that we need to
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look answers for and we will slowly and steadily
but to be precise this data assists organizations
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in acquiring significant knowledge right and what
is this knowledge used for it is used to deal with
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enormous volumes of varying information right
at the right speed why right speed because the
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data that was available yesterday is not exactly
going to be useful today right some of it may be
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but a lot of it might not be even relevant today
right at the perfect time because the gadgets or
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the devices that were used yesterday might not be
useful or relevant today so perfect time so that
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the companies or organizations can benefit from
them we also discussed the three Vs of Big Data
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volume that is how much data is being generated
velocity how fast that data is being processed
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variety the various types of data right but
big data could also be huge volumes of simple
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data or relatively smaller volumes of extremely
complex unstructured data so it's not necessary
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that data has to be in huge volumes and it has
to be coming at a very high speed and it has to
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be uh in various formats right it could also be
small quantities of very complex variable data or
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it could be huge quantities of very simple data
all right also this data needs to be accurate
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so that its analysis makes some sense we also
discussed three types of data that is structured
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unstructured and semi-structured data structured
data of course which can be stored in a particular
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format unstructured data which is in multiple
formats like text video numbers images statistics
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all of it coming together right and this kind of
data cannot be stored in a proper format so that
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is unstructured data and semi-structured data is
a combination of both structured and unstructured
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data I already have a video on my Channel about
this and thank you so much for the amazing
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response that you all have shown on that video now
today the data is being generated everywhere right
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from Google searches to WhatsApp
messages to Instagram or Facebook posts
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PDFs emails Bank transactions CCTV footages
Google Maps Twitter and so on I don't think
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we can even name all of them the data produced
in olden times was also huge like a lot of data
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was being produced at that time also but it wasn't
stored and analyzed in a usable way right mainly
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because the technology wasn't so advanced today
the data is coming from all directions and steps
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are being taken to store manage and analyze
this data correctly to make maximum use of it
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now let's head to uh the three main sources from
which we get the big data right where the big
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data is actually being generated first is machine
data then social data and the transactional data
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let's start with machine data machine data is
automatically generated data what automatically
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generated data like this may include data from
multiple sources like sensors like biometric
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or fingerprint sensors all right then security
logs or wearable medical devices even security
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devices they could be CCTV cameras proximity
sensors smoke detectors mobile phones computers
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etc all of these devices are generating data all
right so these are known as machine data okay now
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all of these devices help the organizations to
track employees as well as the consumer Behavior
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okay and companies can use this data for their own
benefit they can identify the needs and demands as
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well as the future scope of a certain product
while focusing on increasing the efficiency
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next is social data social data is of course from
the word itself you can understand the data that
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is generated through social media all right if
we consider YouTube itself videos posts likes
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comments where the video is being played age
gender of the viewer description then playlist
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all of this comes under social data and just like
YouTube Instagram Facebook Tik Tok Twitter Etc
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they are also generating so much of data and they
all come under the social data all right now there
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has always been advancement in these platforms
all right there have been updates we constantly
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get pop-ups right we need to update this app all
right so these updates increase the potential in
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gathering more and more information from the user
all right and this data plays a very crucial role
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in understanding the likes dislikes preferences
choices views of customers on certain topics or
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events because we can openly write anything or
display anything or portray anything or give our
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opinions about anything on social media right so
the organizations or companies can easily identify
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what people are looking for or what people are
accepting in their lives right and they can use
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this information to get qualitative as well as
quantitative data right they can get a lot of
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data right so when the data is huge of course
the management and processing will be difficult
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but the authenticity of the data increases all
right so it is also a fast way to communicate
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with a large audience if your business is in India
you can easily spread the word across the globe
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through social media because everyone around the
world is on social media and anyone can view your
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profile your products your business and and try to
get something out of it so it is also a very fast
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way to communicate with a larger audience and
expand the geographic area of businesses thus
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these days uh social media branding has become a
very important aspect in businesses right where
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professionals are hired to manage the social
media accounts so that was all about social data
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and third one is the transactional data now from
the name we can say that transactional data is the
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information gathered through online and offline
transactions while making purchases or maybe
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Investments now this includes so much of data like
location wherever let me swipe a card so when we
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swipe a card we get so much of information from
that location like where the card was swiped when
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um time what time it happened date amount
which product we have purchased uh what
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discounts or coupons have we used all of
this data comes under transactional data
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all right now transactional data is the key source
of business intelligence all right and can play
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a vital role in identifying the preferences of
the customer in terms of products and services
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that he or she might be using so we can identify
what people are looking for when we are buying
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something maybe a product or a service the
businesses can identify what we are actually
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investing our money and sign in right so it can be
very useful for the businesses all right thus we
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can conclude that if we have proper Technologies
required to cater the problems related to Big
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Data we can actually use it very wisely and solve
loads of business problems right while not just
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benefiting ourselves but also the world in general
that was all for this video If You benefited
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from it please give it a thumbs up subscribe to
the channel and thank you so much for watching
