Big data
- 1. PADMANAVA COLLEGE OF ENGINEERING
- 2. BIG DATAPresented By: Name-ANJALI NISHET Reg.No-1101216157 6th semester Name-HEENA HASSAN Reg.No-1101216159 6th semester The Next Frontier for innovation
- 3. OUTLINES….. • INTRODUCTION • TYPES OF DATA • CHARACTERISTICS • SECTORS BENIFITED • ADVANTAGES • DISADVANTAGES • CHALLENGES OF BIG DATA • CONCLUSION • REFRENCES
- 4. INTRODUCTION *Big data is a collection of data sets which is so large and complex that it is difficult to handle using DBMS tools. *The rate of data generation has increased exponentially by increasing use of data intensive technologies. *Processing or analyzing the huge amount of data is a challenging task. * Big Data is large volume of Data in structured or unstructured form.
- 5. TYPES OF DATA 1. STRUCTURED DATA- These data is organized in a highly mechanized and manageable way. eg Data of organisation which fits into databases. 2.UNSTRUCTURED DATA- These data is raw and unorganized. It varies in its content and can change from entry to entry. eg Videos, images, social media etc.
- 6. Data Evolution ….. 10% are structured and 90% are unstructured like emails, videos, facebook posts, website clicks etc. BIG Data Structured and Unstructured Data Web Logs WEB Sensor/ RFID/ Devices Sentiment, UGC, Speech to Text, SMS/MMS, Mobile Web, HD Audio/Video Offer History A/B Testing Dynamic Pricing Segmentation CRM Offer Details Support Contacts Structured Data Purchase Detail ERP Purchase Record Payment Record Source: Hortonworks.com
- 7. CHARACTERISTICS OF BIG DATA
- 8. BIG DATA IN VARIOUS SECTORS 1. BIG DATA IN GOVERNMENT * Indian Railways * Govt. Project * Welfare Dept. 2. BIG DATA IN BANKING * Risk modelling. * Prevents financial frauds & money laundering 3. BIG DATA IN TELECOMMUNICATION * Call Detail Record (CDR) analysis. * Network performance and optimization. * Mobile User Location analysis.
- 9. BIG DATA IN VARIOUS SECTORS 4. BIG DATA IN MARKETING * Re-development of products * Maintaining CRM * Creation of new ideas 5. BIG DATA IN HEALTH & LIFE SCIENCES * Health Insurance fraud detection. * Patient care quality and program analysis * Drug discovery and development analysis
- 10. ADVANTAGES OF BIG DATA * Understanding and Targeting Customers * Understanding and Optimizing Business Process * Improving Science and Research * Improving Healthcare and Public Health * Financial Trading * Improving Sports Performance * Improving Security and Law Enforcement
- 11. DISADVANTAGES OF BIG DATA • Big data violates the privacy principle. • Data can be used for manipulating customers. • Big data may increase social stratification. • Big data is not useful in short run. • Faces difficulties in parsing and interpreting. • Big data is difficult to handle.
- 12. CHALLENGES IN BIG DATA *Privacy and Security *Data Access and Sharing of Information *Analytical Challenges *Human Resources and Manpower *Technical Challenges 12
- 13. *CONCLUSION *The commercial impacts of the Big data have the potential to generate significant productivity growth for a number of vertical sectors. *Big Data presents opportunity to create unprecedented business advantages and better service delivery. *All the challenges and issues are needed to be handle effectively and in a efficient manner. * Growing talent and building teams to make analytic-based decisions is the key to realize the value of Big Data.
- 14. *REFRENCES….. www.google.com www.wikipedia.com http://research.microsoft.com http://www.howstuffworks.com