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Big Data Analytics (CCS334) Unit-1
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0% found this document useful (0 votes)
416 views21 pagesBDA Unit 1-1
Big Data Analytics (CCS334) Unit-1
Uploaded by
kavitha desinguCopyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
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, UNITI
STANDING BIG DATA
on to big data - convergence of key trends ~ unstructured
data - industry examples of big data - web analytics — big data
applications— big data technologies — introduction to Hadoop ~ open
| source technologies — cloud and big data — mobile business intelligence
— Crowd sourcing analytics — inter and trans firewall analytics.
1.1 INTRODUCTION TO-BIG DATA
6 Big Data is a collection of data that is huge in volume, yet growing exponentially
with time. _
It is data with so large a size and complexity that none of the traditional data
management tools can store it or process it efficiently. Big data is also data but with a
huge size.
Big Data analytics is a process used to extract meaningful insights, such as hidden.
patterns. unknown correlations, market trenids, and customer preferences.
Big Data analytics provides various advantages—it can be used for better decision-
making, and preventing fraudulent activities, among other things.
1.1.1 Types of Bigdata
"There are three main types of big data:
e = Structured,
e Semi-structured, and
nstructured data.
= Structured data is highly organized and typically stored in
be easily analyzed using tfaditional data analysis t
5 tted ina specific way. Examples of structured data ‘Semi-srecured data is a mixture of stractred a
defined data model. Its generated ina variety of formats
to analyze using trations data analysis tools and techniques.
tuetured data nclede emails, social mediadaa, images, videos,
Big Data itslfiselsied to asize whichis enormous. Siz of data
Fracial role in Artermining value out of data
articular data can actually be considered as Big Data or
it upoa the volurie of data. Hence, ‘Volume’ is one
Dvhich needs to be corsidersd while dealing with Big Data
‘of Big Data is its variety. Variety refers to heterogeneous
nature of data both structured snd unstrctred,
ays, spreadsheets and databases wee the only sourees of
jest ofthe applications.
Form of emails, photos, videos, monitoring devices,
so being consdeted inthe anayssapplications. This
spas cern tes i sos, mining and
potential inthe data
Big Data Velocity deals with the speed at
Tike business processes, application logs,
sensors, Mobile devies, ete. The flow of datas
Variability
This refers to the inconssteney which can be shown
this hampering the process of Being able to handle
ffectively
1.13 Advantages of Bigdata
‘Big data has overal advantages fr businesses and'o
Improved decision-making: Big data provides or
to collect and analyze vast amounts of data from di
allows businesses to make more informed and data-driven
have acess to a wider range of informatfon.
Enhanced customer insight: Big data analytics can help