A perfect guide for beginners who want to start their career in Big Data.

1. A BEGINNERS GUIDE

2. Contents:
> Introduction
> What is Big Data?
> Big Data as a technology
> 5 V’s of Big Data
> Big Data Technology
> Benefits of Big Data
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3. Introduction
“Data is the new science, Big Data holds the answers”
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500 million tweets
are sent everyday
4 petabytes of data are
created on Facebook
4 terabytes of data are
created from each
connected car
65 billion messages
are sent on WhatsApp
5 billion searches are
made
294 billion emails
are sent

4. What is BIG DATA?
A Collection of large and complex datasets which are difficult to store
and process using the traditional database and data processing tools is
considered as big data. Big data is collected from traditional and digital
sources which, when refined properly can be used for research and
analysis.
Everything around us generates big data continuously. Social media
websites and digital sources are responsible for producing such huge
amount of data.
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5. Where does BIG DATA come
from?
Social data
comes from the Likes, Tweets &
Retweets, Comments, Video
Uploads, and general media that
are uploaded and shared via the
world’s favorite social media
platforms.
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Machine data
information which is generated by
industrial equipment, sensors
that are installed in machinery,
and even web logs which track
user behavior.
Transactional data
is generated from all the daily
transactions that take place both
online and offline. Invoices,
payment orders, storage records,
delivery receipts – all are
characterized as transactional
data
The bulk of big data generated comes from three primary sources: social
data, machine data and transactional data.

6. What are the different types
of BIG DATA?
>Data which has a defined format and is organized in a
predefined schema is called structured data
>Example - Data coming from traditional databases and
repositories like Mainframes, SQL server, Oracle, DB2,
Sybase, Access, Excel, Teradata, etc..
>Data which is unorganized and it is not easy to interpret
such data using traditional databases or data models
>Data coming from social media like Chatter, text analytics,
blogs, Tweets, comments, clicks, tags etc..
>Data is un-modelled and needs to be organized, although
there might be a schema.
>Data coming from emerging market data, e-commerce,
and other third party data like weather, currency
conversion, demographic, panel etc.
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Structured Data
Unstructured Data
Multi-Structured Data

7. What are the 5V’s of BIG
DATA?
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Characteristics
of BIG DATA
VOLUME
VALUE
VELOCITY
VERACITY
VARIETY

8. What is VOLUME in BIG
DATA?
It refers to the size of Big Data. Data can be considered Big Data or not is
based on the volume. The rapidly increasing volume data is due to
cloud-computing traffic, IoT, mobile traffic etc.
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9. What is VELOCITY in BIG
DATA?
It refers to the speed at which the data is getting accumulated. This is
mainly due to IoTs, mobile data, social media etc.
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10. What is VARIETY in BIG
DATA?
It refers to collecting data from multiple sources to understand a
problem and make smarter, more informed decisions. Clear,
uncomplicated access to an extensive variety of data is also the key to
creating platforms that boost innovation and efficiency.
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11. What is VERACITY in BIG
DATA?
It is the level of precision or honesty of data collection. With regards to
the veracity of big data, it’s not simply the nature of the data that is
significant, yet how dependable the processing, type, and source of the
data are.
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12. What is VALUE in BIG
DATA?
This is indeed the holy grail of Big Data and what we are all looking for.
One has to demonstrate value that can be extracted from big or small
data in order to justify the investments, whether on Big Data or on
traditional analytics, data warehouse or business intelligence tools.
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13. What is BIG DATA
TECHNOLOGY?
Big data technology is primarily designed to analyze, process and extract
information from a large data set and a huge set of extremely complex
structures. This is very difficult for traditional data processing software
to deal with. Big data technology is broadly integrated with many other
technologies such as deep learning, machine learning, artificial
intelligence (AI), and the Internet of Things (IoT), which are expanding
at scale. Combined with these technologies, big data technology focuses
on the analysis and processing of large amounts of real-time and batch-
related data.
We can categorize the leading big data technologies into the following
four sections:
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> Data Storage
> Data Mining
> Data Analytics
> Data Visualization

14. What are the types of BIG
DATA Technology?
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BIG DATA
TECHNOLOGIES
DATA STORAGE DATA MINING

15. What are the benefits of BIG
DATA?
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BENEFITS
Fraud
Detection
Increasing
Brand
Loyalty
Helps in
Decision
Making
Financial
Risk Analysis
Helps
predict
Future
Trends
Increases
Website
Optimization

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