SlideShare a Scribd company logo
1 of 14
Guided by – Ms Dilu Mariya Joseph
Submitted by - Senchu Thomas
Reg No 400045
S5 MCA
Amal Jyothi College of Engineering
Kangirapally
Big Data: Issues, Challenges, Tools and Good Practices
Volume
• Data
quantity
Velocity
• Data Speed
Variability
• DataTypes
Variety
• Richness
Value
• Usefullness
Activity Data
Conversation Data
Photo and Video Image
Data
The Internet ofThings
Data
Large and growing
files
(Big data files)
Sensor Data
Big Data Analytics
big data
• Appropriate information
• Identification of hidden patterns, unknown correlations
• Competitive advantage
• Better business decisions: strategic and operational
• Effective marketing, customer satisfaction, increased revenue
• Technical Challenges
1) Fault Tolerance
2) Quality of Data
3) Heterogeneous Data
• Privacy and Security
• Data Access and Sharing of Information
• Skill Requirement
Hadoop: Hadoop is an open source project hosted by
Apache Software Foundation.
Hadoop mainly consists of :
􀁸 File System (The Hadoop File System)
􀁸 Programming Paradigm (Map Reduce)
HDFS is a File System designed for storing very large
files with streaming data access patterns, running on
clusters on commodity hardware.
MapReduce: MapReduce is the programming paradigm
allowing massive scalability.
The commercial impacts of the Big data have the
potential to generate significant productivity growth for
a number of vertical sectors.
They should also create healthy demand for talented
individuals who are capable to help organizations in
making sense of this growing volume of raw data.
Big Data presents opportunity to create unprecedented
business advantages and better service delivery.
• Katal A, Wazid M, & Goudar R. Big Data: Issues, Challenges, Tools
and Good Practices. IEEE, 404-409.
• Big Data for Business Managers - Bridging the gap between
Potential and Value
Anmol Rajpurohit- 2013 IEEE International Conference on Big Data
• Big Data: A Review -Seref SAGIROGLU and Duygu SINANC
• Big Data: Issues and Challenges Moving Forward-Stephen
Kaisler,Frank Armour,J. Alberto Espinosa,William Money,George
Big data

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Big data

  • 1. Guided by – Ms Dilu Mariya Joseph Submitted by - Senchu Thomas Reg No 400045 S5 MCA Amal Jyothi College of Engineering Kangirapally Big Data: Issues, Challenges, Tools and Good Practices
  • 2.
  • 3.
  • 4.
  • 5. Volume • Data quantity Velocity • Data Speed Variability • DataTypes Variety • Richness Value • Usefullness
  • 6. Activity Data Conversation Data Photo and Video Image Data The Internet ofThings Data Large and growing files (Big data files) Sensor Data
  • 7. Big Data Analytics big data • Appropriate information • Identification of hidden patterns, unknown correlations • Competitive advantage • Better business decisions: strategic and operational • Effective marketing, customer satisfaction, increased revenue
  • 8.
  • 9.
  • 10. • Technical Challenges 1) Fault Tolerance 2) Quality of Data 3) Heterogeneous Data • Privacy and Security • Data Access and Sharing of Information • Skill Requirement
  • 11. Hadoop: Hadoop is an open source project hosted by Apache Software Foundation. Hadoop mainly consists of : 􀁸 File System (The Hadoop File System) 􀁸 Programming Paradigm (Map Reduce) HDFS is a File System designed for storing very large files with streaming data access patterns, running on clusters on commodity hardware. MapReduce: MapReduce is the programming paradigm allowing massive scalability.
  • 12. The commercial impacts of the Big data have the potential to generate significant productivity growth for a number of vertical sectors. They should also create healthy demand for talented individuals who are capable to help organizations in making sense of this growing volume of raw data. Big Data presents opportunity to create unprecedented business advantages and better service delivery.
  • 13. • Katal A, Wazid M, & Goudar R. Big Data: Issues, Challenges, Tools and Good Practices. IEEE, 404-409. • Big Data for Business Managers - Bridging the gap between Potential and Value Anmol Rajpurohit- 2013 IEEE International Conference on Big Data • Big Data: A Review -Seref SAGIROGLU and Duygu SINANC • Big Data: Issues and Challenges Moving Forward-Stephen Kaisler,Frank Armour,J. Alberto Espinosa,William Money,George

Editor's Notes

  1. Acco.to IBM