Big data hadoop
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This document presents information about big data and Hadoop. It defines big data as data that exceeds storage and processing capabilities, and notes sources like social media and online shopping. It then discusses Hadoop, including that it is an open source framework for storing and processing large datasets across clusters of computers. Example applications of Hadoop mentioned are advertisement, searches, and security. Pros listed include analyzing big data cost effectively and at scale, while cons include not being suited for small data and requiring a high learning curve.
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Hadoop
In next 3-5 year this technology will play a major role because data is growing in uncontrolled way like data generated from intelligent systems,social networks ,mobile phones leads and in last 5 years that generation has doubled and this leads to big data .
big data has 3 characteristics calles 3v's that is
velocity of data.
variety of data
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Disclaimer :
The images, company, product and service names that are used in this presentation, are for illustration purposes only. All trademarks and registered trademarks are the property of their respective owners.
Data/Image collected from various sources from Internet.
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3. Hadoop and its Eco-system
4.Hadoop Architecture
5.Next Step on how to setup Hadoop
Introduction to Big Data and Hadoop
The document provides an introduction to big data and Hadoop. It discusses key concepts like the characteristics of big data, use cases across different industries, the Hadoop architecture and ecosystem, and learning paths for different roles working with big data. It also includes examples of big data deployments at companies like Facebook and Sears, and how Hadoop addresses limitations of traditional data warehousing approaches.
Introduction To Big Data & Hadoop
Are you confused by Big Data? Get in touch with this new "black gold" and familiarize yourself with undiscovered insights through our complimentary introductory lesson on Big Data and Hadoop!
Introduction to Cloud computing and Big Data-Hadoop
Cloud Computing Evolution
Why Cloud Computing needed?
Cloud Computing Models
Cloud Solutions
Cloud Jobs opportunities
Criteria for Big Data
Big Data challenges
Technologies to process Big Data- Hadoop
Hadoop History and Architecture
Hadoop Eco-System
Hadoop Real-time Use cases
Hadoop Job opportunities
Hadoop and SAP HANA integration
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Big data hadoop
- 1. BY- AKANSHA TYAGI ROLL NO.-4 BTECH(IT) 3RD YEAR
- 2. 2 BIG DATA – Data beyond storage &processing capacity (GB,TB,PB). SOURCES- Social networking,online shopping,airlines etc. -> “WE ARE BECOMING THE DATA AGENTS” -> “THE DATA IS GROWING EXPONENTIALLY” IBM’S DEFINITION- Big data has three traits- 1.Volume 2.Velocity
- 3. CONTENTS OF THE PRESENTATION-: •What is hadoop ? •History • Important concepts •Pros & Cons •Live examples where hadoop is being used •Future scope •Conclusion •References
- 4. 1. An open source framework overseen by apache foundation for storing and processing huge data sets with cluster of commodity hardwares. 2.Hadoop has the logo of an elephant. 3.MAIN APPLICATIONS OF HADOOP :-> :->ADVERSTISEMENT :->SEARCHES :->SECURITY 4. Designed to answer the question: “How to process big data with reasonable cost and time?” 5.HADOOP’S SLOGAN-”Write once ,read any no. of times,but don’t change the content of file”
- 7. WE LOVE INDIA WE PLAY TENNIS FILE CONTENT WE LOVE INDIA WE PLAY TENNIS WE 1 LOVE 1 INDIA 1 WE 1 PLAY 1 TENNIS 1 LOVE 1 INDIA 1 WE 2 TENNIS 1 PLAY 1 INPUT SPLITS MAP REDUCE
- 8. 8
- 10. PROS & CONS OF USING HADOOP-: +VE -> 1)ANALYSING BIG DATA( UNSTRUCTURED+ WIDELY DISTRIBUTED). 2)SUPPORTS MULTIPLE LANGUAGES FOR PROCESSING 3)SCALABILITY. 4)COST EFFECTIVE. 5)RESILIENT TO FAILURE. 6)FLEXIBLE 7)FAST -VE -> 1)NOT FIT FOR SMALL DATA. 2)REQIURES HIGH LEARNING CURVE. 3)DATA CAN’T BE MANIPULATED. 4)SECURITY CONCERNS.
- 11. LIVE EXAMPLES WHERE HADOOP IS BEING USED-> 1 .Amazon (100 nodes cluster ) 2 .eBay (532 node cluster ) 3 .Yahoo! Inc. (4500 node cluster ) 4 .Adobe (80 node system ) 5 .Facebook (two clusters 8000&3000 nodes) 6 .IIT Hyderabad (30 nose cluster ) 7 .Apple 8 .General Dynamics – IT 9 .EMC Corporation 10 .Northrop Grumman 11.Twitter
- 12. HADOOP: - THE FUTURE IS BRIGHT This is the age of hadoop & many people are looking forward to make a carrer in it. Plethora of jobs in the field of “HADOOP”. A HADOOP KNOWER CAN BE-> 1.Hadoop developers, 2.Database administrators, 3.Software testers, 4.Senior Hadoop developers, 5.Engineers and professionals with operating skills.
- 13. CONCLUSION-> :-> Huge amount of data can be stored & processed at cheap cost. :-> BIG-DATA and its SOLUTIONS is one of the burning issues in the present IT industry ,so working on it will surely make you more useful to that. :-> Looking at the forecast of BIG DATA market,it looks promising and the upward trend will continue progressing in the coming time. :-> Companies are also betting big on professionals that can play better roles in their competitive plans.
- 14. REFERENCES-> WEBSITES :-> 1.WWW.TECHTARGET.COM 2.WWW.HORTONWORKS.COM 3.WWW.INFOQ.COM 4.BOG.CLOUDERA.COM 5.WWW.IBM.COM 6.WWW.YOUTUBE.COM 7.WWW.SLIESHARE.COM BOOKS :-> 1.HADOOP-THE DEFINITIVE GUIDE 2.HADOOP-FOR PROFESSIONALS 3.PRO APACHE HADOOP