In this Big Data presentation, we will be discussing the Big data growth over the last few years followed by the various big data applications. We will look into the various sectors where big data is used such as weather forecast, healthcare, media and entertainment, logistics, travel & tourism and finally in the government & law enforcement sector. We will be discussing how below industries are using Big Data presentation: 1. Weather forecast 2. Media and entertainment 3. Healthcare 4. Logistics 5. Travel n tourism 6. Government and law enforcement What is this Big Data Hadoop training course about? The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. What are the course objectives? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training

1. Big data growth
0
50
100
150
200
250
300
2015 2016 2017 2018 2019 2020 2021 2022
Revenue

2. Big data market size revenue forecast worldwide from 2011 -
2027
Growth of big data

3. Big data market size revenue forecast worldwide from 2011 -
2027
Growth of big data
0
20
40
60
80
100
120
2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027
RevenueinbillionUSdollars
Years Source - statista

4. Big data market size revenue forecast worldwide from 2011 -
2027
Growth of big data
0
20
40
60
80
100
120
2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027
RevenueinbillionUSdollars
Years
As you see, big data revenue has grown rapidly through the years and will continue to
Source - statista

5. Big data market size revenue forecast worldwide from 2011 -
2027
Growth of big data
0
20
40
60
80
100
120
2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027
RevenueinbillionUSdollars
Years Source - statista
As you see, big data revenue has grown rapidly through the years and will continue to
Numerous companies use big data in various
fields to boost their revenue. Let us look into a
few of such applications

6. Big data revenue growth through the years
0
50
100
150
200
250
300
2015 2016 2017 2018 2019 2020 2021 2022
RevenueinbillionUSdollars
Years
As you see, big data revenue has grown rapidly through the years
Growth of big data
Numerous companies use big data in various
fields to boost their revenue. Let us look into a
few of such applications
Weather forecast

7. Weather forecast
A sudden storm?
I’m not even
prepared!
Challenge

8. Weather forecast
A sudden storm?
I’m not even
prepared!
When the weather conditions are
predicted beforehand, it makes
things easier for us
Challenge
It is very inconvenient when the weather
changes suddenly. Imagine having storms,
hurricanes, floods without a warning.

9. Weather forecast
A sudden storm?
I’m not even
prepared!
When the weather conditions are
predicted beforehand, it makes
things easier for us
Challenge
It is very inconvenient when the weather
changes suddenly. Imagine having storms,
hurricanes, floods without a warning.
Solution

10. Weather forecast
A sudden storm?
I’m not even
prepared!
When the weather conditions are
predicted beforehand, it makes
things easier for us
Challenge Solution
The solution is to design a system which
predicts the weather conditions accurately.
Big data is used in designing such a
system
It is very inconvenient when the weather
changes suddenly. Imagine having storms,
hurricanes, floods without a warning.

11. Weather forecast
How does big data
help here?
When the weather conditions are
predicted beforehand, it makes
things easier for us

12. Weather forecast
How does big data
help here?
Big data allows us to gather a
massive amount of data, such as
previous weather reports, climate
change details, wind direction,
precipitation, and so on

13. Weather forecast
How does big data
help here?
When the weather conditions are
predicted beforehand, it makes
things easier for us
Big data allows us to gather a
massive amount of data, such as
previous weather reports, climate
change details, wind direction,
precipitation, and so on
All this data is then analyzed to
produce accurate predictions of the
probable rains or natural calamity

14. Weather forecast
How does big data
help here?
When the weather conditions are
predicted beforehand, it makes
things easier for us
Big data allows us to gather a
massive amount of data, such as
previous weather reports, climate
change details, wind direction,
precipitation, and so on
All this data is then analyzed to
produce accurate predictions of the
probable rains or natural calamity
A weather prediction engine is
used to predict the weather of
every region across the world for
any given time

15. Weather forecast
Predicting a landslide is very difficult with just
the basic warning signs

16. Weather forecast
Predicting a landslide is very difficult with just
the basic warning signs
The University of Melbourne developed an
advanced tool which predicts the boundary
where a landslide is likely to occur two
weeks before

17. Weather forecast
Predicting a landslide is very difficult with just
the basic warning signs
The predictions are made two weeks before
the landslide occurs. The tool works on big
data and applied mathematics

18. Big data revenue growth through the years
0
50
100
150
200
250
300
2015 2016 2017 2018 2019 2020 2021 2022
RevenueinbillionUSdollars
Years
As you see, big data revenue has grown rapidly through the years
Growth of big data
Numerous companies use big data in various
fields to boost their revenue. Let us look into a
few of such applications
Media and entertainment
Media and entertainment

19. Media and entertainment
Big data is widely
used in the media
and entertainment
industry

20. Media and entertainment
Big data is widely
used in the media
and entertainment
industry
Used for targeted advertisement
Customer sentiment
analysis
Recommendation engines
An insight into customer
churn analysis
Publishers are now able to gather more data about their
visitors, which in turn enables them to serve relevant
advertising

21. Media and entertainment
Big data is widely
used in the media
and entertainment
industry
Used for targeted advertisement
Customer sentiment
analysis
The media and entertainment companies know how their
customers feel by analyzing their emotions in posts,
messages, and conversations
Recommendation engines
An insight into customer
churn analysis

22. Media and entertainment
Big data is widely
used in the media
and entertainment
industry
Used for targeted advertisement
Customer sentiment
analysis
Recommendation engines
Recommendation engines can accurately predict what a
customer would like to watch next depending on their past
watch and the browse history
An insight into customer
churn analysis

23. Media and entertainment
Big data is widely
used in the media
and entertainment
industry
Used for targeted advertisement
Customer sentiment
analysis
Recommendation engines
An insight into customer
churn analysis
Analyzing the behavioral patterns of previously-churned
customers, a marketer can identify the warning signs from
current customers and prevent losing customers

24. Media and entertainment
Did you know that Starbucks app
uses big data?

25. Media and entertainment
17M users
Type of coffee they like and buy,
where and when they buy, etc.
generate
data
Did you know that Starbucks app
uses big data?

26. Media and entertainment
Did you know that Starbucks app
uses big data?
Data is analyzed and fed
into the app

27. Media and entertainment
Did you know that Starbucks app
uses big data?
Data is analyzed and fed
into the app
Based on the customer’s ordering history, the app suggests new products, sends
personalized offers such as a birthday discount and so on

28. Big data revenue growth through the years
0
50
100
150
200
250
300
2015 2016 2017 2018 2019 2020 2021 2022
RevenueinbillionUSdollars
Years
As you see, big data revenue has grown rapidly through the years
Growth of big data
Numerous companies use big data in various
fields to boost their revenue. Let us look into a
few of such applications
Healthcare

29. Healthcare
Big data insights
help in saving lives!
With the available big data, medical researches are done very
efficiently, and new treatments and medicines are discovered
Medical research
Personalized treatment
Health of the population
Cost reduction

30. Healthcare
Big data insights
help in saving lives!
Hyper-personal care is provided to each depending on their
past medical history
Medical research
Personalized treatment
Health of the population
Cost reduction

31. Healthcare
Big data insights
help in saving lives!
Readmissions account for a significant reason for increased
healthcare costs. If all the available data is analyzed well, accurate
insights regarding the patient’s health are obtained
Medical research
Personalized treatment
Cost reduction
Health of the population

32. Healthcare
Big data insights
help in saving lives!
Medical research
Personalized treatment
Cost reduction
Health of the population
Analyzing big data helps in identifying disease trends based on
geography and demographics

33. Healthcare
United health care uses big data to detect medical
fraud and identity threat

34. Healthcare
United health care uses big data to detect medical
fraud and identity threat
It predicts the likelihood of disease management
programs to succeed, depending on how
patients respond to it

35. Big data revenue growth through the years
0
50
100
150
200
250
300
2015 2016 2017 2018 2019 2020 2021 2022
RevenueinbillionUSdollars
Years
As you see, big data revenue has grown rapidly through the years
Growth of big data
Numerous companies use big data in various
fields to boost their revenue. Let us look into a
few of such applications
Logistics
Logistics

36. Logistics
Your package will
now reach you
faster!
Flexible routing
Capacity planning
Customer satisfaction
The sensors within the vehicles analyze the fastest route to reach
the destination. This dynamic routing plan will take into
consideration the weather, traffic, and orders
Smart warehousing

37. Logistics
Your package will
now reach you
faster!
Flexible routing
Capacity planning
Customer satisfaction
Here, predictive analytics is used to look into the availability of the
workforce. This prevents more than 1 truck heading in the same
direction and ensures more efficient operation
Smart warehousing

38. Logistics
Your package will
now reach you
faster!
Flexible routing
Capacity planning
Customer satisfaction
Using big data analytics and tracking sensors, warehouse robotics
is improved resulting in efficient resource allocation and reduced
cost
Smart warehousing

39. Logistics
Your package will
now reach you
faster!
Flexible routing
Capacity planning
Customer satisfaction
Semantic analysis and text processing helps to analyze
customer reactions which will eventually create an instant
feedback loop
Smart warehousing

40. Logistics
UPS is one of the biggest package shipping company in the
world. They use a wide variety of data every moment
Your package will
now reach you
faster!

41. Logistics
UPS is one of the biggest package shipping company in the
world. They use a wide variety of data every moment
They use big data to optimize routes dynamically. The system
can automatically change routes in real time. By doing so, UPS
can anticipate traffic jams, bad weather, and so on
Your package will
now reach you
faster!

42. Big data revenue growth through the years
0
50
100
150
200
250
300
2015 2016 2017 2018 2019 2020 2021 2022
RevenueinbillionUSdollars
Years
As you see, big data revenue has grown rapidly through the years
Growth of big data
Numerous companies use big data in various
fields to boost their revenue. Let us look into a
few of such applications
Travel and tourism
Travel and tourism

43. Travel and tourism
We have the best
packages!
Revenue management
Market research
Looking into past occupancy rates, room tariffs, school holidays,
peak seasons, the tourism industry can anticipate demand and
maximize the revenue
Personalized offers
Investment opportunities

44. Travel and tourism
Revenue management
Market research
Big data is used by companies to analyze information about their
competitors which gives an understanding of what other hotels are
offering their customers
Personalized offers
Investment opportunities
We have the best
packages!

45. Travel and tourism
Revenue management
Market research
Based on a tourists’ past travel history and likes, they can
receive personalized experiences that are focused on their
needs
Personalized offers
Investment opportunities
We have the best
packages!

46. Travel and tourism
Revenue management
Market research
Investment opportunities
Few countries use Big Data to examine tourism flows and
discover investment opportunities in their country. Investment in
such areas is profitable
Personalized offers
We have the best
packages!

47. Travel and tourism
We have the best
places to stay!

48. Travel and tourism
Airbnb is one of the best online homestay networks. To help
travelers around the world find the best properties, Airbnb
analyzes all the big data to produce this result
We have the best
places to stay!

49. Travel and tourism
Airbnb is one of the best online homestay networks. To help
travelers around the world find the best properties, Airbnb
analyzes all the big data to produce this result
It lists properties through customers preferences, keywords, and
pricing. By doing so, it delivers its customers with the best stay
We have the best
places to stay!

50. Big data revenue growth through the years
0
50
100
150
200
250
300
2015 2016 2017 2018 2019 2020 2021 2022
RevenueinbillionUSdollars
Years
As you see, big data revenue has grown rapidly through the years
Growth of big data
Numerous companies use big data in various
fields to boost their revenue. Let us look into a
few of such applications
Government and law
enforcement
Government and law
enforcement

51. Government and law enforcement
Lesser crime rates
and more
development!
Predictive policing
Tackling unemployment
Predictive policing uses big data to forecast criminal activity before
it happens based on the information given to them through big
data analysis
Poverty
Improving social and economic
policies

52. Government and law enforcement
Predictive policing
Tackling unemployment
By analyzing the number of students graduating every year and the
number of job openings, governments can have an idea of the
unemployment in the country
Poverty
Lesser crime rates
and more
development!
Improving social and economic
policies

53. Government and law enforcement
Predictive policing
Tackling unemployment
Governments use big data tools to discover areas which fall under
the poverty line and does the needful
Poverty
Lesser crime rates
and more
development!
Improving social and economic
policies

54. Government and law enforcement
Predictive policing
Improving social and economic
policies
By analyzing the data collected from public surveys,
governments can design efficient services and policies
which will benefit the citizens
Poverty
Lesser crime rates
and more
development!
Tackling unemployment

55. Government and law enforcement
New York police
department uses
big data analytics
The New York Police Department uses big data analytics to
protect its citizens

56. Government and law enforcement
New York police
department uses
big data analytics
The New York Police Department uses big data analytics to
protect its citizens
The department identifies crime trends, threats, and
prevent crimes by analyzing data such as certain emails,
fingerprints, and records from police investigations, and
other public databases