This seminar presentation discusses the challenges of big data. It defines big data as extremely large and complex data sets that cannot be processed by traditional data processing software. The presentation outlines issues with big data like high data volume, velocity, and variety. It also discusses challenges in areas such as privacy and security, data access and sharing, analytics, human resources, and technical fault tolerance and scalability. Solutions proposed include using specialized software frameworks and new technologies.

1. Course name : Seminar(IT331)
Course co-ordinator : Prof. Zankhana Shah
Presented By : Ravi Vaniya (15IT036)
Sanat Dhobi (15IT027)

2. From Magnetic drive to Genomic drive

3. Challenges of Big Data

4. Synopsis
 Introduction
 Issues
 Challenges

5. Introduction
 What is big data ?
Big data is a term for data sets that are so large or complex that
traditional data processing application software is inadequate to deal
with them.
 Problem for existing DBMS…
 Solutions..
1. Use software/framework
2. Some new technology

6. Issues
1. Data Volume
2. Data Velocity
3. Data Variety
4. Data Value
5. Data Complexity
Example : Google map

8. Challenges
 Privacy and security
 Data access and sharing of information
 Analytical challenges
 Human resource and manpower
 Technical – Fault tolerance , Scalability , Quality of data

9. References ...
 Official website : University of Washington
 Official website : Microsoft Inc.
 https://en.wikipedia.org/wiki/Big_data
 For images : Google images
 https://www.slideshare.net/HarshMishra3/harsh-big-data-seminar-
report