2. Slide 2Slide 2Slide 2 www.edureka.co/big-data-and-hadoop
At the end of the session, you will be able to:
Understand Why Learn Hadoop?
Know Advantages of Hadoop & its Predictions for 2015
Discover Hadoop Career Path
Understand how Companies are using Hadoop?
Agenda
4. Slide 4Slide 4Slide 4 www.edureka.co/big-data-and-hadoop
Rise of Big Data
By 2020, IDC (International Data Corporation) predicts the number will have reached 40,000 EB, or 40 Zettabytes
(ZB)
The world’s information is doubling every two years. By 2020, there will be 5,200 GB of data for every person on
Earth.
0
1000
2000
3000
4000
5000
6000
7000
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Unstructured Data
Structured Data Un-structured Data
5. Slide 5Slide 5Slide 5 www.edureka.co/big-data-and-hadoop
Application of Big Data
Source: Twitter
6. Slide 6Slide 6Slide 6 www.edureka.co/big-data-and-hadoop
Application of Big Data
Amazon handles 15 million
customer click stream user
data per day to
recommend products.
Stock market generates about one
terabyte of new trade data per day
to perform stock trading analytics to
determine trends for optimal trades.
294 billion emails sent every
day. Services analyse this data
to find the spams.
Systems / Enterprises generate huge amount of data from Terabytes to Petabytes of information
7. Slide 7Slide 7Slide 7 www.edureka.co/big-data-and-hadoop
Can’t use Big Data without Hadoop
Current Scenario:
Unstructured Data is Exploding
Organizations take fact based decisions
The Bigger the data, accurate is the decision!
Conclusion:
The use of Big Data is essential
To Enable the use of Big Data one needs “Hadoop”
8. Slide 8Slide 8Slide 8 www.edureka.co/big-data-and-hadoop
Advantages of Hadoop & its Predictions
9. Slide 9Slide 9Slide 9 www.edureka.co/big-data-and-hadoop
Advantages of Hadoop
F Fast
F Flexible
S Scalable
CE Cost Effective
FT Fault Tolerant
F
CE
FT
S
F
10. Slide 10Slide 10Slide 10 www.edureka.co/big-data-and-hadoop
Feature Comparision
Structured Data Types Multi and Unstructured
Limited, No Data Processing Processing Processing coupled with Data
Standards & Structured Governance Loosely Structured
Required On Write Schema Required On Read
Reads are Fast Speed Writes are Fast
Software License Cost Support Only
Known Entity Resources Growing, Complexities, Wide
OLTP
Complex ACID Transactions
Operational Data Store
Best Fit Use Data Discovery
Processing Unstructured Data
Massive Storage/Processing
RDBMS HADOOP
11. Slide 11Slide 11Slide 11 www.edureka.co/big-data-and-hadoop
2015 Predictions for Hadoop!
Hadoop has been found not
guilty of being an over-
hyped open source platform!
Source: Forrester
Hadooponomics makes enterprise adoption mandatory
Enterprise
Adoption
The Hadoop skills shortage will disappear
Enterprise
Developers
Hadoop will become SQL enabled
SQL Featured
Hadoop
Integration with enterprise softwares – SAS, Teradata,
Talent etc.
Large Enterprise
Adoption
Hadoop Clusters in the cloud
Scalable Hadoop
Cluster
Beyond Analytics, it will become Application Platform
Expanding Horizon
More Hadoop Distributions will emerge by large
enterprise vendors like SAS, Oracle, IBM etc.
Increasing
Competition
15. Slide 15Slide 15Slide 15 www.edureka.co/big-data-and-hadoop
Major Companies Using Hadoop
16. Slide 16Slide 16Slide 16 www.edureka.co/big-data-and-hadoop
How Companies are using Hadoop?
17. Slide 17Slide 17Slide 17 www.edureka.co/big-data-and-hadoop
Common Big Data Customer Scenarios
Web and e-tailing
» Recommendation Engines
» Ad Targeting
» Search Quality
» Abuse and Click Fraud Detection
Telecommunications
» Customer Churn Prevention
» Network Performance Optimization
» Calling Data Record (CDR) Analysis
» Analysing Network to Predict Failure
http://wiki.apache.org/hadoop/PoweredBy
18. Slide 18Slide 18Slide 18 www.edureka.co/big-data-and-hadoop
Common Big Data Customer Scenarios
Government
» Fraud Detection and Cyber Security
» Welfare Schemes
» Justice
Healthcare and Life Sciences
» Health Information Exchange
» Gene Sequencing
» Serialization
» Healthcare Service Quality Improvements
» Drug Safety
http://wiki.apache.org/hadoop/PoweredBy
20. Slide 20Slide 20Slide 20 www.edureka.co/big-data-and-hadoop
The Big Question!
Is it the right time for me to learn Hadoop?
21. Slide 21Slide 21Slide 21 www.edureka.co/big-data-and-hadoop
The Big Question!
Is it the right time for me to learn Hadoop?
Answer – Yes, it’s Now or Never!
Reasons:
1. Hadoop has proved its worth
2. Large Enterprises are adopting Hadoop
3. Hadoop skill Shortage will disappear. Learn Before its too late
4. Handsome paid opportunities
23. Slide 23
Your feedback is important to us, be it a compliment, a suggestion or a complaint. It helps us to make
the course better!
Please spare few minutes to take the survey after the webinar.
www.edureka.co/big-data-and-hadoop
Survey
