Big data is a collection of data that is huge in volume and growing exponentially over time. It is data that cannot be stored or processed efficiently using traditional data management tools. Some examples of big data applications include social media, banking, communications, education, manufacturing, government, and retail. Big data has several key characteristics and organizations use it to make real-time data driven decisions to improve outcomes. However, it also presents challenges related to talent, incompatible tools, and correlation errors.

1. BIG DATA AND ITS CHARACTERISTICS
Submitted to :-
Dr. Shyam S. Gupta
Associate Professor
Department of Computer
Science and Engineering
Submitted By :-
1. Aviral Tiwari (0905CS191060)
2. Bharat Rathore (095CS191062)
3. Keerti Sahu (0905CS191094)
4. Khushi Raj (0905CS191098)

2. INDEX
 INTRODUCTION
 Application / Example
 Characteristics
 Why does the problem exist
 Merit and Demerit
 Need
 References

3. INTRODUCTION
 The quantities, characters, or symbols on which operations are
performed by a computer, which may be stored and transmitted in the
form of electrical signals and recorded on magnetic, optical, or
mechanical recording media is data.
 Big Data is a collection of data that is huge in volume, yet growing
exponentially with time. It is a data with so large size and complexity
that none of traditional data management tools can store it or process
it efficiently. Big data is also a data but with huge size.

4. Application/Example
 Social Media
 Banking and Securities
 Communications, Media and Entertainment
 Education
 Manufacturing and Natural Resources
 Government
 Retail and Wholesale trade

5. Characteristics
These are following characteristics of Big data

6. Why does the problem exist
 Big data problems have brought many changes in the way data is
processed and managed over time.
 Today, data is not just posing challenge in terms of volume but also in
terms of its high speed generation.
 The data quality and validity varies from source to source, and thus
are difficult to process.

7. Merits and Demerits
 Merits
 Cost Savings
 Time Reductions
 Understand the market conditions
 Increased productivity
 Demerits
 Need for talented
 Incompatible tools
 Correlation Errors

8. NEED
 Organizations are using big data analytics software, technologies and
systems to make real-time data-driven decisions in various fields for
improved outcomes that are business-related.
 Insurance, banks, health care providers, the government’s social
security networks, nuclear physics, traffic management and literally
any field all use Big Data analytics in the process of data analytics
types used for staying ahead of competitors, modelling, designing
newer processes and products, effective marketing, customer
personalization, generation of new revenue options, improved
operational efficiency and more

9. REFERENCES
• https://en.wikipedia.org
• https://www.geeksforgeeks.org
• https://www.w3schools.com

10. THANKYOU