![Big Data is the ocean of information we swim in every day vast
sources of data flowing from our computers, mobile devices, and
machine sensors. Big Data is being generated by everything around
us at all times. Every digital process and social media exchange
produces it, while systems, sensors, and mobile devices transmit it.
New sources of data come from a variety of machines, such as
website interactions, search engine optimizations, and social
business sites by using click-stream data. These changing business
requirements demand that the right information be available at the
right time.[1]
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Big data
- 1. …Big Data... 14404- FANSUPKAR TANIYA 14418- RAIS ZOYA
- 2. Big Data is the ocean of information we swim in every day vast sources of data flowing from our computers, mobile devices, and machine sensors. Big Data is being generated by everything around us at all times. Every digital process and social media exchange produces it, while systems, sensors, and mobile devices transmit it. New sources of data come from a variety of machines, such as website interactions, search engine optimizations, and social business sites by using click-stream data. These changing business requirements demand that the right information be available at the right time.[1] What is Big Data?
- 3. Big Data Versus Small Data Small Data • Usually designed to answer a specific question or serve a particular goal. • Typically, small data is contained within one institution, often on one computer, sometimes in one file. • In many cases, the data user prepares her own data, for her own purposes. Big Data • Usually designed with a goal in mind, but the goal is flexible and the questions posed are protean. • Typically spread throughout electronic space, typically spread through multiple Internet servers, located anywhere on earth. • The data comes from many differ sources, and it is prepared by many people.
- 4. Small Data • Ordinarily contains highly structured data. The data domain is restricted to a single discipline or sub discipline. • Typically, the data is measured using one experimental protocol, and the data can be represented using one set of standard units. Big Data • Must be capable of absorbing unstructured data (e.g., such as free-text documents, images, motion pictures, sound recordings, physical objects). • Many different types of data are delivered in many different electronic formats by different people.[2]
- 5. Let’s look at Big Data in a different way.
- 6. Byte Byte : one grain of rice
- 7. Kilobyte Byte : one grain of rice Kilobyte : cup of rice
- 8. Megabyte Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice
- 9. Gigabyte Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks
- 10. Terabyte Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships
- 11. Petabyte Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan
- 12. One ByteExabyte Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states
- 13. Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Zettabyte
- 14. Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Yottabyte : A EARTH SIZE RICE BALL! Yottabyte
- 15. HobbyistByte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Yottabyte : A EARTH SIZE RICE BALL!
- 16. Desktop HobbyistByte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Yottabyte : A EARTH SIZE RICE BALL!
- 17. Desktop Hobbyist Internet Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Yottabyte : A EARTH SIZE RICE BALL!
- 18. Desktop Hobbyist Internet Big Data Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Yottabyte : A EARTH SIZE RICE BALL!
- 19. Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Yottabyte : A EARTH SIZE RICE BALL!
- 20. Desktop Hobbyist The Future?[3] Internet Big Data Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Yottabyte : A EARTH SIZE RICE BALL!
- 21. Volume... 100 terabytes of data are uploaded daily to Facebook ; Akamai analyses 75 million events a day to target online ads; Walmart handles 1 million customer transactions every single hour. 90% of all data ever created was generated in the past 2 years. Scale is certainly a part of what makes Big Data big. The internet-mobile revolution, bringing with it a torrent of social media updates, sensor data from devices and an explosion of e- commerce, means that every industry is swamped with data- which can be incredibly valuable, if you know how to use it. 3vs of Big Data
- 22. Velocity… In 1999, Wal-Mart’s data warehouse stored 1,000 terabytes (1,000,000 gigabytes) of data. In 2012, it had access to over 2.5 petabytes (2,500,000 gigabytes) of data. Every minute of every day, we upload 100 hours of video on Youtube, send over 200 million emails and send 300,000 tweets. ‘Velocity’ refers to the increasing speed at which this data is created, and the increasing speed at which the data can be processed, stored and analysed by relational databases. The possibilities of processing data in real-time is an area of particular interest, which allows companies to do things like display personalised ads on the web pages you visit, based on your recent search, viewing and purchase history.
- 23. Variety… Gone are the days when a company’s data could be neatly slotted into a table and analysed. 90% of data generated is ‘unstructured’, coming in all shapes and forms- from geo-spatial data, to tweets which can be analysed for content and sentiment, to visual data such as photos and videos. The ‘3 V’s’ certainly give us an insight into the almost unimaginable scale of data, and the break-neck speeds at which these vast datasets grow and multiply. But only ‘Variety’ really begins to scratch the surface of the depth- and crucially, the challenges- of Big Data.[4]
- 26. Benefits of Big Data…
- 27. High Maintenance. Skill needed to access Data. Difficult to Handle. Violates the Privacy Principle.[5] Drawbacks of Big Data...
- 28. Government. International development Manufacturing Cyber-Physical Models Media Technology Private sector Science and Research.[6] Applications of Big Data…
- 29. [1].Book: "Big Data for Beginners" by Alonzo Williams,Stepanie Foor. [2].Book: "Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information" by Jules J. Berman. [4].Book: "Understanding Big Data: A Beginners Guide to Data Science & the Business Applications" by Eileen McNulty-Holmes. [5].http://www.oii.ox.ac.uk/research/project/?id=98. [6].https://www.google.co.in/#q=applications+of+big+data+wikipedia. [3]. http://www.slideshare.net/dwellman/what-is-big-data-24401517?qid=6e8e2726- 6681-486c-880b-f973f6b61e2c&v=&b=&from_search=5