Apache Hadoop is an open-source software framework for distributed storage and processing of large datasets across clusters of computers. It allows for processing of structured, semi-structured, and unstructured data using simple programming models. Hadoop can handle failures at the application layer and provides highly available services across large clusters of computers that may be prone to failures. Case studies show Hadoop has been used for fraud detection in banking, analyzing customer spending, predicting weather patterns and climate changes, processing astronomical images, and more wherever high volumes of unstructured data are growing rapidly.

1. Hadoop Case Studies
In the real
world.
By @MobinRanjbar

2. What is Apache Hadoop?
The Apache Hadoop software library is a framework that allows for
the distributed processing of large data sets across clusters of
.computers using simple programming models It is designed to scale
,up from single servers to thousands of machines each ofering local
.computation and storage
- ,Rather than rely on hardware to deliver high availability the library
itself is designed to detect and handle failures at the application
, -layer so delivering a highly available service on top of a cluster of
, .computers each of which may be prone to failures
Source: http://hadoop.apache.com

3. Why Apache Hadoop?
● .It is distributed
● / - /It can handle structured semi structured unstructured
.data
● .It does not need expensive hardwares
● .It is open source
● .It has a variety of tools for machine learning and etc
● .And etc

4. Case Studies

5. Economy and Financial Systems
● .Fraud Detection in bank accounts
● Analysing customers data to know how are they spending
.money
● .Who is more eligible to get a loan based on their history
● Modern currencies like Bitcoin can take advantage of it in
.mining process

6. Communications
● - /Content centric Networking Named Data Networking
● .Analysing internet trafc in miliseconds

7. News and Media
● .News classifcation and recommendation systems
● What do people like to watch and read without asking them
( ).what they like based on their behaviour

8. Medical and Pharmacy
● ,Accurate medical prescription based on patients' lifestyle
.nutrition and genetic disorders
● .Analyzing and decreasing prescription drug side efects
● .Discovering cancers
● .Brain genome mapping and sequencing

9. Sales and Marketing
● .Analyzing customers behaviour Where do they look the
.most in a market store
● Finding the related products based on their previous
.purchases

10. Oil and Gas Exploration and Discovery
● , ,Weather soil and equipment data can be analyzed to predict the
success of drilling operations and make more intelligent
.decisions about drilling sites
● , ,Oilfeld managers need to analyze well data seismic data
industry news and potentially social media to evaluate potential
.oilfelds
● Processing seismic data that can be used to discover seismic
.trace signatures that were previously overlooked

11. Weather Forecasting
● .More accurate weather forecasting
● .Analysing and forecasting the risk of food
● .Discovering climate changes in the future

12. Geology
● .Forecasting the risk of earthquick based on aftershocks data
● .Analysing volcanoes' behaviour

13. Astronomy and Space
● - .Astronomical Hi Res Image Processing
● .Exploring new galaxies and planets
● .Analysing Meteorite impact models

14. Green and Renewable Energy
● : -GreenHadoop Leveraging Green Energy in Data Processing
.Frameworks
● Vestas utilized big data to maximize power generation and
.reduce energy costs
● Predicting the amount of solar energy that will be available in
.the near future

15. Crime and Urban Management
● .Accurate election result prediction
● .Preventing crime before it happens

16. And anywhere you can fnd high
volume of unstructured data with high
,rate of growth Apache Hadoop will
.change the game

17. THANK YOU
Presented by Mobin Ranjbar
:Twitter @MobinRanjbar
: . / /Linkedin linkedin com in mobinranjbar