A beginner's guide to Big data

1

• A beginners Guide

2
Contents

• Introduction
• What is Big Data?
• Big Data as a technology
• 5 Vs of Big Data
• Big Data Technology
• Benefits of Big Data

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Introduction

• Data is the new science, Big Data holds the
  answers

4 petabytes of data are created on Facebook
500 million tweets are sent everyday
4 terabytes of data are created from each
connected car
294 billion emails are sent
65 billion messages are sent on WhatsApp
5 billion searches are made
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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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Where does BIG DATA come from?
The bulk of big data generated comes from three
primary sources social data, machine data and
transactional data.

• Social data
• comes from the Likes, Tweets Retweets,
  Comments, Video Uploads, and general media that
  are uploaded and shared via the worlds favorite
  social media platforms.

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
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What are the different types of BIG DATA?
Structured Data
Unstructured Data
Multi-Structured Data
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What are the 5Vs of BIG DATA?
VALUE
VERACITY
VOLUME
Characteristics of BIG DATA
VELOCITY
VARIETY
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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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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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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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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, its 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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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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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

• Data Storage
• Data Mining

• Data Analytics
• Data Visualization

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What are the types of BIG DATA Technology?
DATA STORAGE
DATA MINING
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What are the benefits of BIG DATA?
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