SlideShare une entreprise Scribd logo
1  sur  37
www.edureka.co/big-data-and-hadoop
Hadoop, IoT and Analytics - The Three Musketeers
Slide 2Slide 2Slide 2 www.edureka.co/big-data-and-hadoop
Before I go ahead Let me know Why I should waste my one hour in this webinar.
What is the Future in Hadoop,IoT and Analytics
Slide 3Slide 3Slide 3 www.edureka.co/big-data-and-hadoop
In the year 2020, technical expertise will no longer be the
sole province of the IT department.
IT experts say that the most sought-after IT-related skills
will be those that involve the ability to mine overwhelming
amounts of data
Why you should waste your one hour in this webinar
Slide 4Slide 4Slide 4 www.edureka.co/big-data-and-hadoop
At the end of the session, you will be able to know :
 What is Hadoop
 What is IoT
 What is Analytics
 How Hadoop , IoT and Analytics can be used together
 Use Cases
Agenda
Slide 5Slide 5Slide 5 www.edureka.co/big-data-and-hadoop
First Thing First
What is Hadoop ?
Slide 6Slide 6Slide 6 www.edureka.co/big-data-and-hadoop
Multiple servers are connected
via Hadoop as if it were one large
computer
Hadoop is framework that powers a platform that stores and processes
“Big Data”
that is scalable and reliable and highly available
What is Hadoop
Slide 7Slide 7Slide 7 www.edureka.co/big-data-and-hadoop
Cluster Maintenance Storage Processing
Hadoop has 3 layers :
Different Layers
Slide 8Slide 8Slide 8 www.edureka.co/big-data-and-hadoop
Hadoop Vs Other N/W Storage Architecture
Hadoop differs from other distributed storage in the way that it is a network of several independent storage serves
Slide 9Slide 9Slide 9 www.edureka.co/big-data-and-hadoop
A typical Hadoop Cluster
Slide 10Slide 10Slide 10 www.edureka.co/big-data-and-hadoop
I am a bit confused with the term “Big Data”.
What is it??
Slide 11Slide 11Slide 11 www.edureka.co/big-data-and-hadoop
Big Data : A Hoax or Truth ??
Slide 12Slide 12Slide 12 www.edureka.co/big-data-and-hadoop
Big Data : A Hoax or Truth ??
Slide 13Slide 13Slide 13 www.edureka.co/big-data-and-hadoop
Slide 14Slide 14Slide 14 www.edureka.co/big-data-and-hadoop
Now I got it what is Big Data :
Big data is huge amount of data which is getting
harder to be stored in traditional Databases.
It is a combination of :
• Structured : Text, Excel files etc …
• Unstructured : Videos, Audios etc …
• Semi-Structured : Emails,Xml etc …
Big Data
Slide 15Slide 15Slide 15 www.edureka.co/big-data-and-hadoop
 It is:
– Unstructured
– Unprocessed
– Un-aggregated
– Un-filtered
– Repetitive
– Low quality
– And generally messy.
Oh, and there is a lot of it.
Big Data
Slide 16Slide 16Slide 16 www.edureka.co/big-data-and-hadoop
"Data are becoming the new raw material of business"
Chris Lynch
former President and CEO Vertica Systems
"The world is one big data problem"
-Andrew McAfee
Associate director of the Center for Digital Business
MIT Sloan School of Management
“In God we trust. All others must bring data.”
-W. Edwards Deming
statistician, professor, author, lecturer, and consultant
“Torture the data, and it will confess to anything”
- Ronald Coase
Economics, Nobel Prize Laureate
Opinions about Big Data
"Information is the oil of the 21st century, and analytics is the combustion engine"
- Peter Sondergaard,
Senior Vice President,
Gartner Research.
Slide 17Slide 17Slide 17 www.edureka.co/big-data-and-hadoop
Where does this Big Data comes from
One of the major sources of all types of data is Internet
Slide 18Slide 18Slide 18 www.edureka.co/big-data-and-hadoop
Almost 42% of the world’s population has access to the internet in January 2015
Data is growing with Internet
Slide 19Slide 19Slide 19 www.edureka.co/big-data-and-hadoop
Data Explosion with Internet Revolution
Slide 20Slide 20Slide 20 www.edureka.co/big-data-and-hadoop
No !!!
I just understood “Big Data”
Now what is this
“Internet of Things”
Slide 21Slide 21Slide 21 www.edureka.co/big-data-and-hadoop
Machine need no manual instructions and become
intelligent needing no manual intervention .
Just Imagine !!!
Slide 22Slide 22Slide 22 www.edureka.co/big-data-and-hadoop
That sounds Cool !!!
But
Is it a reality ??
Slide 23Slide 23Slide 23 www.edureka.co/big-data-and-hadoop
During 2008, the number of things connected to the internet surpassed the number of people on earth.
(CISCO)
By 2017, the IoT market will surpass the PC, tablet, and phone market combined.
(businessinsider)
82% of companies will have IoT applications implemented into their business in some way by 2017.
(businessinsider)
A recent finding from IDC predicts that the worldwide IoT market will grow to $7.1 trillion by 2020, compared to $1.9
trillion in 2013.
Gartner says there will be 26 billion connected devices by 2020. Cisco says there will be 50 billion, Intel says it will be
200 billion, and the IDC says 212 billion. In any case, these are all really big numbers.
94% of businesses see an ROI from M2M communication.
(CSGI)
The smart home industry was the leading industry in the IoT market in 2014 with $79.4 billion in revenue, followed by
smart cities at $59.2 billion and smart building/infrastructure at $25 billion. Those numbers are expected to increase
substantially by 2020.
(Pinterest)
Mind-Boggling IoT Statistics
Slide 24Slide 24Slide 24 www.edureka.co/big-data-and-hadoop
Technology Roadmap : IoT
Slide 25Slide 25Slide 25 www.edureka.co/big-data-and-hadoop
“Internet of Objects” “Machine-to-Machine Era”
Internet of Things refers to the concept that the Internet is no longer just a global network for people to
communicate with one another using computers, but it is also a platform for devices to communicate electronically
with the world around them.
------Center for Data and Innovation
The Internet of Things, also called The Internet of Objects, refers to a wireless network between objects, usually
the network will be wireless and self-configuring, such as household appliances.
------Wikipedia
“Internet of Everything”
Internet of Things (IoT)??
Slide 26Slide 26Slide 26 www.edureka.co/big-data-and-hadoop
An Era where Machines communicate with each other and are self configuring
Internet of Things (IoT)??
Slide 27Slide 27Slide 27 www.edureka.co/big-data-and-hadoop
RFID Sensor Smart Tech Nano Tech
To identify and
track the data
of things
To collect and
process the data
to detect the
changes in the
physical status of
things
To enhance the
power of the
network by
devolving
processing
capabilities to
different part of the
network.
To make the
smaller and
smaller things
have the ability to
connect and
interact.
Core Components
Slide 28Slide 28Slide 28 www.edureka.co/big-data-and-hadoop
Education
Food
Management
IoT
Applications
Retail
Logistics
Pharmaceuticals
Application
Slide 29Slide 29Slide 29 www.edureka.co/big-data-and-hadoop
There is too much of the data we may get from IoT.
We know we can keep them all in Hadoop But
What do we do with that ???
Slide 30Slide 30Slide 30 www.edureka.co/big-data-and-hadoop
We Dig the data and Analyze
We can have a network of connected devices where the real time events
and streams coming from the various devices are analyzed and as per the
outcome other connected devices adapt accordingly
Slide 31Slide 31Slide 31 www.edureka.co/big-data-and-hadoop
• Retail:
– Intelligent shopping
– Bar code in retail
– Electronic tags
– …
Application : Retail
Slide 32Slide 32Slide 32 www.edureka.co/big-data-and-hadoop
• Pharmaceuticals :
– Intelligent tags for drugs
– Drug usage tracking
– Pharma. Product websites
--> Enable the emergency treatment to be
given faster and more correct
Application : Pharmaceuticals
Slide 33Slide 33Slide 33 www.edureka.co/big-data-and-hadoop
• Food:
– Control geographical origin
– Food production management
– Nutrition calculations
 Prevent overproduction and shortage
 Control food quality, health and safety.
Application : Food chains
Slide 34Slide 34Slide 34 www.edureka.co/big-data-and-hadoop
Sites like Mint.com and LearnVest allow consumers to review their spending by category and see where their money went in
a given week, month or year.
User’s spending data is continuously monitored and analyzed to find a pattern which may help user in saving money and spending smartly
Application : Health
Slide 35Slide 35Slide 35 www.edureka.co/big-data-and-hadoop
The food diary platform MyFitnessPal gives people not only detail of how many calories they’ve consumed each day but also
breaks down protein, fat, and carbs.
These companies perform analytics on the huge data generated by the user’s mobile and they show the information extracted from customer’s raw data
Application : Health
Slide 36Slide 36Slide 36 www.edureka.co/big-data-and-hadoop
Career Mantra
Questions
Slide 37 www.edureka.co/big-data-and-hadoop

Contenu connexe

Tendances

Tendances (20)

Internet of Things B2B market study 2016
Internet of Things B2B market study 2016Internet of Things B2B market study 2016
Internet of Things B2B market study 2016
 
Key challenges facing the future of IoT
Key challenges facing the future of IoTKey challenges facing the future of IoT
Key challenges facing the future of IoT
 
Internet of things - 2020
Internet of things - 2020Internet of things - 2020
Internet of things - 2020
 
Research Issues, Challenges and Directions in IoT (Internet of Things)
 Research Issues, Challenges and Directions in IoT (Internet of Things) Research Issues, Challenges and Directions in IoT (Internet of Things)
Research Issues, Challenges and Directions in IoT (Internet of Things)
 
Exploring the Educational Potential of the Internet of Things (Internet of Th...
Exploring the Educational Potential of the Internet of Things (Internet of Th...Exploring the Educational Potential of the Internet of Things (Internet of Th...
Exploring the Educational Potential of the Internet of Things (Internet of Th...
 
Building the Social Internet of Things
Building the Social Internet of ThingsBuilding the Social Internet of Things
Building the Social Internet of Things
 
Society 5
Society 5Society 5
Society 5
 
IoT Technology: Why to Choose Internet of Things Services-Latest Technology u...
IoT Technology: Why to Choose Internet of Things Services-Latest Technology u...IoT Technology: Why to Choose Internet of Things Services-Latest Technology u...
IoT Technology: Why to Choose Internet of Things Services-Latest Technology u...
 
Machine Learning Applications to IoT
Machine Learning Applications to IoTMachine Learning Applications to IoT
Machine Learning Applications to IoT
 
Internet of Things and Data Analytics for Smart Cities and eHealth
Internet of Things and Data Analytics for Smart Cities and eHealthInternet of Things and Data Analytics for Smart Cities and eHealth
Internet of Things and Data Analytics for Smart Cities and eHealth
 
Latest trends in information technology
Latest trends in information technologyLatest trends in information technology
Latest trends in information technology
 
Internet of things - Introduction and Variations (Architecture)
Internet of things - Introduction and Variations (Architecture)Internet of things - Introduction and Variations (Architecture)
Internet of things - Introduction and Variations (Architecture)
 
Interplay of Big Data and IoT - StampedeCon 2016
Interplay of Big Data and IoT - StampedeCon 2016Interplay of Big Data and IoT - StampedeCon 2016
Interplay of Big Data and IoT - StampedeCon 2016
 
Business Transformation with IoT
Business Transformation with IoTBusiness Transformation with IoT
Business Transformation with IoT
 
How to Profit from IoT
How to Profit from IoTHow to Profit from IoT
How to Profit from IoT
 
IIoT : Old Wine in a New Bottle?
IIoT : Old Wine in a New Bottle?IIoT : Old Wine in a New Bottle?
IIoT : Old Wine in a New Bottle?
 
The Beginner's Guide to the Internet of Things
The Beginner's Guide to the Internet of ThingsThe Beginner's Guide to the Internet of Things
The Beginner's Guide to the Internet of Things
 
Internet of Things: state of the art
Internet of Things: state of the artInternet of Things: state of the art
Internet of Things: state of the art
 
Next Dimension IIoT Presentation
Next Dimension IIoT PresentationNext Dimension IIoT Presentation
Next Dimension IIoT Presentation
 
Defining the IoT Stack
Defining the IoT StackDefining the IoT Stack
Defining the IoT Stack
 

En vedette

En vedette (7)

IoT & Machine Learning
IoT & Machine LearningIoT & Machine Learning
IoT & Machine Learning
 
Machine Learning for the Sensored IoT
Machine Learning for the Sensored IoTMachine Learning for the Sensored IoT
Machine Learning for the Sensored IoT
 
Doing Online Research
Doing Online ResearchDoing Online Research
Doing Online Research
 
Machine Learning in the Real World
Machine Learning in the Real WorldMachine Learning in the Real World
Machine Learning in the Real World
 
Machine Learning and Internet of Things
Machine Learning and Internet of ThingsMachine Learning and Internet of Things
Machine Learning and Internet of Things
 
Deep Learning And Business Models (VNITC 2015-09-13)
Deep Learning And Business Models (VNITC 2015-09-13)Deep Learning And Business Models (VNITC 2015-09-13)
Deep Learning And Business Models (VNITC 2015-09-13)
 
Using Deep Learning to do Real-Time Scoring in Practical Applications
Using Deep Learning to do Real-Time Scoring in Practical ApplicationsUsing Deep Learning to do Real-Time Scoring in Practical Applications
Using Deep Learning to do Real-Time Scoring in Practical Applications
 

Similaire à Hadoop, Iot and Analytics- The Three Musketeers

Sean gately internet of things
Sean gately   internet of thingsSean gately   internet of things
Sean gately internet of things
ProductCamp SoCal
 
2015 elec manuf trends
2015 elec manuf trends2015 elec manuf trends
2015 elec manuf trends
Craig Richards
 

Similaire à Hadoop, Iot and Analytics- The Three Musketeers (20)

Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Sean gately internet of things
Sean gately   internet of thingsSean gately   internet of things
Sean gately internet of things
 
How it works- Data Science
How it works- Data ScienceHow it works- Data Science
How it works- Data Science
 
How the Internet of Things (IoT) Works for Business
How the Internet of Things (IoT) Works for BusinessHow the Internet of Things (IoT) Works for Business
How the Internet of Things (IoT) Works for Business
 
Opportunities with data science
Opportunities with data scienceOpportunities with data science
Opportunities with data science
 
Secular Technological Tailwinds
Secular Technological TailwindsSecular Technological Tailwinds
Secular Technological Tailwinds
 
The Golden Age of Wearables:
 Personal Networks, Smart Things & Intimate Know...
The Golden Age of Wearables:
 Personal Networks, Smart Things & Intimate Know...The Golden Age of Wearables:
 Personal Networks, Smart Things & Intimate Know...
The Golden Age of Wearables:
 Personal Networks, Smart Things & Intimate Know...
 
Big Data Tutorial For Beginners | What Is Big Data | Big Data Tutorial | Hado...
Big Data Tutorial For Beginners | What Is Big Data | Big Data Tutorial | Hado...Big Data Tutorial For Beginners | What Is Big Data | Big Data Tutorial | Hado...
Big Data Tutorial For Beginners | What Is Big Data | Big Data Tutorial | Hado...
 
IoT Asset Management
IoT Asset Management IoT Asset Management
IoT Asset Management
 
Perfect Information - How IoT empowers you to know anything, anytime, anywhere
Perfect Information - How IoT empowers you to know anything, anytime, anywherePerfect Information - How IoT empowers you to know anything, anytime, anywhere
Perfect Information - How IoT empowers you to know anything, anytime, anywhere
 
Keynote Sales Kickoff Interoute
Keynote Sales Kickoff InterouteKeynote Sales Kickoff Interoute
Keynote Sales Kickoff Interoute
 
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Centerp...
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Centerp...Big Data Applications & Analytics Motivation: Big Data and the Cloud; Centerp...
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Centerp...
 
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Center...
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Center...Big Data Applications & Analytics Motivation: Big Data and the Cloud; Center...
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Center...
 
Executive Summit for ISV & Application builders - January 2015
Executive Summit for ISV & Application builders - January 2015Executive Summit for ISV & Application builders - January 2015
Executive Summit for ISV & Application builders - January 2015
 
IoT: Entering an Era of Perfect Information
IoT: Entering an Era of Perfect InformationIoT: Entering an Era of Perfect Information
IoT: Entering an Era of Perfect Information
 
Modern data integration | Diyotta
Modern data integration | Diyotta Modern data integration | Diyotta
Modern data integration | Diyotta
 
Is Data Scientist the Sexiest Job of the 21st century?
Is Data Scientist the Sexiest Job of the 21st century?Is Data Scientist the Sexiest Job of the 21st century?
Is Data Scientist the Sexiest Job of the 21st century?
 
2015 elec manuf trends
2015 elec manuf trends2015 elec manuf trends
2015 elec manuf trends
 
Data mining with big data implementation
Data mining with big data implementationData mining with big data implementation
Data mining with big data implementation
 
GK NU CS 101 Session 1B (1).ppt
GK NU CS 101 Session 1B (1).pptGK NU CS 101 Session 1B (1).ppt
GK NU CS 101 Session 1B (1).ppt
 

Plus de Edureka!

Plus de Edureka! (20)

What to learn during the 21 days Lockdown | Edureka
What to learn during the 21 days Lockdown | EdurekaWhat to learn during the 21 days Lockdown | Edureka
What to learn during the 21 days Lockdown | Edureka
 
Top 10 Dying Programming Languages in 2020 | Edureka
Top 10 Dying Programming Languages in 2020 | EdurekaTop 10 Dying Programming Languages in 2020 | Edureka
Top 10 Dying Programming Languages in 2020 | Edureka
 
Top 5 Trending Business Intelligence Tools | Edureka
Top 5 Trending Business Intelligence Tools | EdurekaTop 5 Trending Business Intelligence Tools | Edureka
Top 5 Trending Business Intelligence Tools | Edureka
 
Tableau Tutorial for Data Science | Edureka
Tableau Tutorial for Data Science | EdurekaTableau Tutorial for Data Science | Edureka
Tableau Tutorial for Data Science | Edureka
 
Python Programming Tutorial | Edureka
Python Programming Tutorial | EdurekaPython Programming Tutorial | Edureka
Python Programming Tutorial | Edureka
 
Top 5 PMP Certifications | Edureka
Top 5 PMP Certifications | EdurekaTop 5 PMP Certifications | Edureka
Top 5 PMP Certifications | Edureka
 
Top Maven Interview Questions in 2020 | Edureka
Top Maven Interview Questions in 2020 | EdurekaTop Maven Interview Questions in 2020 | Edureka
Top Maven Interview Questions in 2020 | Edureka
 
Linux Mint Tutorial | Edureka
Linux Mint Tutorial | EdurekaLinux Mint Tutorial | Edureka
Linux Mint Tutorial | Edureka
 
How to Deploy Java Web App in AWS| Edureka
How to Deploy Java Web App in AWS| EdurekaHow to Deploy Java Web App in AWS| Edureka
How to Deploy Java Web App in AWS| Edureka
 
Importance of Digital Marketing | Edureka
Importance of Digital Marketing | EdurekaImportance of Digital Marketing | Edureka
Importance of Digital Marketing | Edureka
 
RPA in 2020 | Edureka
RPA in 2020 | EdurekaRPA in 2020 | Edureka
RPA in 2020 | Edureka
 
Email Notifications in Jenkins | Edureka
Email Notifications in Jenkins | EdurekaEmail Notifications in Jenkins | Edureka
Email Notifications in Jenkins | Edureka
 
EA Algorithm in Machine Learning | Edureka
EA Algorithm in Machine Learning | EdurekaEA Algorithm in Machine Learning | Edureka
EA Algorithm in Machine Learning | Edureka
 
Cognitive AI Tutorial | Edureka
Cognitive AI Tutorial | EdurekaCognitive AI Tutorial | Edureka
Cognitive AI Tutorial | Edureka
 
AWS Cloud Practitioner Tutorial | Edureka
AWS Cloud Practitioner Tutorial | EdurekaAWS Cloud Practitioner Tutorial | Edureka
AWS Cloud Practitioner Tutorial | Edureka
 
Blue Prism Top Interview Questions | Edureka
Blue Prism Top Interview Questions | EdurekaBlue Prism Top Interview Questions | Edureka
Blue Prism Top Interview Questions | Edureka
 
Big Data on AWS Tutorial | Edureka
Big Data on AWS Tutorial | Edureka Big Data on AWS Tutorial | Edureka
Big Data on AWS Tutorial | Edureka
 
A star algorithm | A* Algorithm in Artificial Intelligence | Edureka
A star algorithm | A* Algorithm in Artificial Intelligence | EdurekaA star algorithm | A* Algorithm in Artificial Intelligence | Edureka
A star algorithm | A* Algorithm in Artificial Intelligence | Edureka
 
Kubernetes Installation on Ubuntu | Edureka
Kubernetes Installation on Ubuntu | EdurekaKubernetes Installation on Ubuntu | Edureka
Kubernetes Installation on Ubuntu | Edureka
 
Introduction to DevOps | Edureka
Introduction to DevOps | EdurekaIntroduction to DevOps | Edureka
Introduction to DevOps | Edureka
 

Dernier

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 

Dernier (20)

2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 

Hadoop, Iot and Analytics- The Three Musketeers

  • 1. www.edureka.co/big-data-and-hadoop Hadoop, IoT and Analytics - The Three Musketeers
  • 2. Slide 2Slide 2Slide 2 www.edureka.co/big-data-and-hadoop Before I go ahead Let me know Why I should waste my one hour in this webinar. What is the Future in Hadoop,IoT and Analytics
  • 3. Slide 3Slide 3Slide 3 www.edureka.co/big-data-and-hadoop In the year 2020, technical expertise will no longer be the sole province of the IT department. IT experts say that the most sought-after IT-related skills will be those that involve the ability to mine overwhelming amounts of data Why you should waste your one hour in this webinar
  • 4. Slide 4Slide 4Slide 4 www.edureka.co/big-data-and-hadoop At the end of the session, you will be able to know :  What is Hadoop  What is IoT  What is Analytics  How Hadoop , IoT and Analytics can be used together  Use Cases Agenda
  • 5. Slide 5Slide 5Slide 5 www.edureka.co/big-data-and-hadoop First Thing First What is Hadoop ?
  • 6. Slide 6Slide 6Slide 6 www.edureka.co/big-data-and-hadoop Multiple servers are connected via Hadoop as if it were one large computer Hadoop is framework that powers a platform that stores and processes “Big Data” that is scalable and reliable and highly available What is Hadoop
  • 7. Slide 7Slide 7Slide 7 www.edureka.co/big-data-and-hadoop Cluster Maintenance Storage Processing Hadoop has 3 layers : Different Layers
  • 8. Slide 8Slide 8Slide 8 www.edureka.co/big-data-and-hadoop Hadoop Vs Other N/W Storage Architecture Hadoop differs from other distributed storage in the way that it is a network of several independent storage serves
  • 9. Slide 9Slide 9Slide 9 www.edureka.co/big-data-and-hadoop A typical Hadoop Cluster
  • 10. Slide 10Slide 10Slide 10 www.edureka.co/big-data-and-hadoop I am a bit confused with the term “Big Data”. What is it??
  • 11. Slide 11Slide 11Slide 11 www.edureka.co/big-data-and-hadoop Big Data : A Hoax or Truth ??
  • 12. Slide 12Slide 12Slide 12 www.edureka.co/big-data-and-hadoop Big Data : A Hoax or Truth ??
  • 13. Slide 13Slide 13Slide 13 www.edureka.co/big-data-and-hadoop
  • 14. Slide 14Slide 14Slide 14 www.edureka.co/big-data-and-hadoop Now I got it what is Big Data : Big data is huge amount of data which is getting harder to be stored in traditional Databases. It is a combination of : • Structured : Text, Excel files etc … • Unstructured : Videos, Audios etc … • Semi-Structured : Emails,Xml etc … Big Data
  • 15. Slide 15Slide 15Slide 15 www.edureka.co/big-data-and-hadoop  It is: – Unstructured – Unprocessed – Un-aggregated – Un-filtered – Repetitive – Low quality – And generally messy. Oh, and there is a lot of it. Big Data
  • 16. Slide 16Slide 16Slide 16 www.edureka.co/big-data-and-hadoop "Data are becoming the new raw material of business" Chris Lynch former President and CEO Vertica Systems "The world is one big data problem" -Andrew McAfee Associate director of the Center for Digital Business MIT Sloan School of Management “In God we trust. All others must bring data.” -W. Edwards Deming statistician, professor, author, lecturer, and consultant “Torture the data, and it will confess to anything” - Ronald Coase Economics, Nobel Prize Laureate Opinions about Big Data "Information is the oil of the 21st century, and analytics is the combustion engine" - Peter Sondergaard, Senior Vice President, Gartner Research.
  • 17. Slide 17Slide 17Slide 17 www.edureka.co/big-data-and-hadoop Where does this Big Data comes from One of the major sources of all types of data is Internet
  • 18. Slide 18Slide 18Slide 18 www.edureka.co/big-data-and-hadoop Almost 42% of the world’s population has access to the internet in January 2015 Data is growing with Internet
  • 19. Slide 19Slide 19Slide 19 www.edureka.co/big-data-and-hadoop Data Explosion with Internet Revolution
  • 20. Slide 20Slide 20Slide 20 www.edureka.co/big-data-and-hadoop No !!! I just understood “Big Data” Now what is this “Internet of Things”
  • 21. Slide 21Slide 21Slide 21 www.edureka.co/big-data-and-hadoop Machine need no manual instructions and become intelligent needing no manual intervention . Just Imagine !!!
  • 22. Slide 22Slide 22Slide 22 www.edureka.co/big-data-and-hadoop That sounds Cool !!! But Is it a reality ??
  • 23. Slide 23Slide 23Slide 23 www.edureka.co/big-data-and-hadoop During 2008, the number of things connected to the internet surpassed the number of people on earth. (CISCO) By 2017, the IoT market will surpass the PC, tablet, and phone market combined. (businessinsider) 82% of companies will have IoT applications implemented into their business in some way by 2017. (businessinsider) A recent finding from IDC predicts that the worldwide IoT market will grow to $7.1 trillion by 2020, compared to $1.9 trillion in 2013. Gartner says there will be 26 billion connected devices by 2020. Cisco says there will be 50 billion, Intel says it will be 200 billion, and the IDC says 212 billion. In any case, these are all really big numbers. 94% of businesses see an ROI from M2M communication. (CSGI) The smart home industry was the leading industry in the IoT market in 2014 with $79.4 billion in revenue, followed by smart cities at $59.2 billion and smart building/infrastructure at $25 billion. Those numbers are expected to increase substantially by 2020. (Pinterest) Mind-Boggling IoT Statistics
  • 24. Slide 24Slide 24Slide 24 www.edureka.co/big-data-and-hadoop Technology Roadmap : IoT
  • 25. Slide 25Slide 25Slide 25 www.edureka.co/big-data-and-hadoop “Internet of Objects” “Machine-to-Machine Era” Internet of Things refers to the concept that the Internet is no longer just a global network for people to communicate with one another using computers, but it is also a platform for devices to communicate electronically with the world around them. ------Center for Data and Innovation The Internet of Things, also called The Internet of Objects, refers to a wireless network between objects, usually the network will be wireless and self-configuring, such as household appliances. ------Wikipedia “Internet of Everything” Internet of Things (IoT)??
  • 26. Slide 26Slide 26Slide 26 www.edureka.co/big-data-and-hadoop An Era where Machines communicate with each other and are self configuring Internet of Things (IoT)??
  • 27. Slide 27Slide 27Slide 27 www.edureka.co/big-data-and-hadoop RFID Sensor Smart Tech Nano Tech To identify and track the data of things To collect and process the data to detect the changes in the physical status of things To enhance the power of the network by devolving processing capabilities to different part of the network. To make the smaller and smaller things have the ability to connect and interact. Core Components
  • 28. Slide 28Slide 28Slide 28 www.edureka.co/big-data-and-hadoop Education Food Management IoT Applications Retail Logistics Pharmaceuticals Application
  • 29. Slide 29Slide 29Slide 29 www.edureka.co/big-data-and-hadoop There is too much of the data we may get from IoT. We know we can keep them all in Hadoop But What do we do with that ???
  • 30. Slide 30Slide 30Slide 30 www.edureka.co/big-data-and-hadoop We Dig the data and Analyze We can have a network of connected devices where the real time events and streams coming from the various devices are analyzed and as per the outcome other connected devices adapt accordingly
  • 31. Slide 31Slide 31Slide 31 www.edureka.co/big-data-and-hadoop • Retail: – Intelligent shopping – Bar code in retail – Electronic tags – … Application : Retail
  • 32. Slide 32Slide 32Slide 32 www.edureka.co/big-data-and-hadoop • Pharmaceuticals : – Intelligent tags for drugs – Drug usage tracking – Pharma. Product websites --> Enable the emergency treatment to be given faster and more correct Application : Pharmaceuticals
  • 33. Slide 33Slide 33Slide 33 www.edureka.co/big-data-and-hadoop • Food: – Control geographical origin – Food production management – Nutrition calculations  Prevent overproduction and shortage  Control food quality, health and safety. Application : Food chains
  • 34. Slide 34Slide 34Slide 34 www.edureka.co/big-data-and-hadoop Sites like Mint.com and LearnVest allow consumers to review their spending by category and see where their money went in a given week, month or year. User’s spending data is continuously monitored and analyzed to find a pattern which may help user in saving money and spending smartly Application : Health
  • 35. Slide 35Slide 35Slide 35 www.edureka.co/big-data-and-hadoop The food diary platform MyFitnessPal gives people not only detail of how many calories they’ve consumed each day but also breaks down protein, fat, and carbs. These companies perform analytics on the huge data generated by the user’s mobile and they show the information extracted from customer’s raw data Application : Health
  • 36. Slide 36Slide 36Slide 36 www.edureka.co/big-data-and-hadoop Career Mantra

Notes de l'éditeur

  1. Analyzing large amounts of data is the top predicted skill required!
  2. Big data is not called big data because it fits well into a thumb-drive. It requires a lot of storage, partially because it’s a lot of data. Partially because it is unstructured, unprocessed, un-aggregated, repetitive and generally messy