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Big data Seminar/Presentation

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Big data Seminar/Presentation

  1. 1. BIG DATA PRESENTATION BY: Xxxxx xxxxx C.S.E https://www.slideshare.net/Kirtimaan01
  2. 2. WHAT IS BIG DATA
  3. 3. Big Data describe datasets that grow so large that they become awkward to work with using on-hand database management tools
  4. 4. More than 30 billion pieces of content (web links, news, stories, blog post, notes, photo albums, etc.) get shared each month on Facebook
  5. 5. Twitter users are, in total, tweeting an average of 55 million tweet a day, also including links etc.
  6. 6. But there is even much more : cameras, sensors, RFID logs, geolocation, GPS and so on
  7. 7. There are several perspectives at Big Data
  8. 8. Data Storage and Archiving
  9. 9. Data Preparation
  10. 10. Data Analytics & Analysis
  11. 11. Real-time event And Stream Processing
  12. 12. Data Visualization
  13. 13. Where does Big Data come from ?
  14. 14. “Uncontrolled” human activities in the world wide web, or Web 2.0
  15. 15. Every human leaves a vast number of data marks on the web every day: Intentionally, accidently and unknowingly
  16. 16. Why is Big Data Important?
  17. 17. ➢ Cost Savings ➢ Time Reduction ➢ New Product Development ➢ Understand the market condition ➢ Control Online Reputation
  18. 18. Cost Savings : Some tools of Big Data like Hadoop and Cloud-Based Analytics can bring cost advantages to business when large amounts of data are to be stored and these tools also help in identifying more efficient ways of doing business.
  19. 19. Time Reductions :The high speed of tools like Hadoop and in-memory analytics can easily identify new sources of data which helps businesses analysing data immediately and make quick decisions based on the learnings.
  20. 20. New Product Development : By knowing the trends of customer needs and satisfaction through analytics you can create products according to the wants of customers.
  21. 21. Understand the market conditions : By analysing big data you can get a better understanding of current market conditions.
  22. 22. Control online reputation: Big data tools can do sentiment analysis. Therefore, you can get feedback about who is saying what about your company.
  23. 23. Major Challenges are the 4 v’s of Big Data
  24. 24. Volume Big Data observes and tracks what happens from various sources which include business transactions, social media and information from machine-to-machine or sensor data. This creates large volumes of data. Velocity The data streams in high speed and must be dealt with timely. The processing of data that is, analysis of streamed data to produce near or real time results is also fast. Variety Data comes in all formats that may be structured, numeric in the traditional database or the unstructured text documents, video, audio, email, stock ticker data. Veracity Big Data Veracity refers to the biases, noise and abnormality in data. Is the data that is being stored, and mined meaningful to the problem being analyzed.
  25. 25. Conclusion: Big Data-A Competitive Advantage for Business
  26. 26. The use of Big Data is becoming common these days by the companies to outperform their peers. In most industries, existing competitors and new entrants alike will use the strategies resulting from the analysed data to compete, innovate and capture value.
  27. 27. Big Data helps the organizations to create new growth opportunities and entirely new categories of companies that can combine and analyse industry data. These companies have ample information about the products and services, buyers and suppliers, consumer preferences that can be captured and analysed.
  28. 28. It also understands and optimizes business processes. Retailers can easily optimize their stock based on predictive models generated from the social media data, web search trends and weather forecasts.
  29. 29. Thank You.

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