Big Data

What is BIG DATA?

1. 1 PRESENTATION BY: ROSHAN SHAJI

2. Big Data may well be the Next Big Thing in the IT world. Big data burst upon the scene in the first decade of the 21st century. The first organizations to embrace it were online and startup firms. Firms like Google, eBay, LinkedIn, and Facebook were built around big data from the beginning. 2

3. Huge amount of data. Consists of large datasets that cannot be managed effectively by the common database management systems. With the evolution of Big Data ,large amount of data can be stored ,accessed and analyzed to generate useful information. Widely used for storing and managing big data BIG DATA 3

4. Think the following; Every second there are around 8,22 tweets on Twitter Every minute , nearly 510 comments are posted 293,00 status are updated and 136,00 photos are uploaded on Facebook. Every hour Walmart a global discount departmental store chain ,handles more than 1 million customer transactions. Everyday, consumers make around 11.5 million payments by using PayPal. What is big data? 4

5. Transportation Education Travel Government Healthcare Telecom Consumer Goods Industry Aviation industry 5 Applications of Big Data

6. Who’s Generating Big Data Social media and networks (all of us are generating data) Scientific instruments (collecting all sorts of data) Mobile devices (tracking all objects all the time) Sensor technology and networks (measuring all kinds of data) 6

7. IBM defined Big Data in 3 terms Volume Velocity Variety Big Data 7

8. 8

9. It becomes difficult for computer systems to manage Big Data because of the immense speed and volume at which it is generated. So Big Data is stored in distributed architectural file system. 9

10. Growth of Big Data is needed: Increase of storage capacities Increase of processing power Availability of data-different data types Why big data 10

11. 11 Big Data Is a new data challenge that requires leveraging existing systems differently. Is classified in terms of 4Vs Volume Variety Velocity veracity Is usually unstructured and qualitative in nature.

12. 12 Today, technology is facing issues related to huge volume, leading to new storage and processing solution.

13. 13 Concepts of Big Data Analysis Distributed system Data science AI Data storage Parallel processing Data Mining

14. Is arranging the available data in a manner so that it becomes easy to study ,analyze and derive conclusion from it. It is done by information processing system . The process of structuring data requires the understanding of various types of data available today. 14 Structuring BigData

15. Helps to collect accurate data Takes timely and more informed strategic decisions Target the right set of audience and customers Increase benefits Reduce wastage and costs. Improves business processes 15 Advantages of Big Data analytics

16. 16