Big datapresentation
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The document discusses big data, which refers to massive amounts of data from various sources that are difficult to analyze using traditional database tools. It defines big data and provides examples of types of data. It also discusses characteristics of big data like volume, variety, velocity, variability, and value. The document then discusses Apache Hadoop, a popular framework for storing and processing large datasets, and how big data is used in marketing for recommendation engines. Finally, it discusses how big data can provide value by making information more transparent and accessible.
Big datapresentation
- 1. Sasui 2k12/it/73 Advance Database Assignment Submitted to: sir kamran Dahri 11-11-14 1
- 2. Big Data refers to the massive amounts of data collected over time that are difficult to analyze and handle using common database management tools. The data are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs and unstructured text from blogs and social media, as well as the huge amounts of data that can be collected from sensors of all varieties 2
- 3. Or Big data can also be defined as "Big data is a large volume unstructured data which can not be handled by standard database management systems like DBMS, RDBMS or ORDBMS". 3
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- 5. 5 Volume Variety Velocity Variability Value
- 6. 6 Apache Hadoop is a popular open-source framework/software for storing and distributed processing large data sets across clusters of computers.
- 7. 7 Information science promises to change the world. HARDVARD magazine 2014
- 8. DATA NOW STREAM from daily life: from phones and credit cards and televisions and computers; from the infrastructure of cities; from sensor- equipped buildings, trains, buses, planes, bridges, and factories. The data flow so fast that the total accumulation of the past two years—a zettabyte(2- 70th power byte)—dwarfs the prior record of human civilization. “There is a big data revolution,” saysWeatherhead University Professor Gary King. But it is not the quantity of data that is revolutionary. “The big data revolution is that now we can do something with the data.” 8
- 9. set of rules that can be used to solve a problem a thousand times faster than conventional computational methods could. One colleague, faced with a mountain of data, figured out that he would need a $2-million computer to analyze it. Instead, King and his graduate students came up with an algorithm within two hours that would do the same thing in 20 minutes—on a laptop: 9
- 10. In marketing, familiar uses of big data include “recommendation engines” like those used by companies such as Netflix and Amazon to make purchase suggestions based on the prior interests of one customer as compared to millions of others. 10
- 11. A DVD rental and Internet-based video-on-demand service from Netflix, Los Gatos, CA (www.netflix.com). For a monthly fee based on service level, DVD and Blu-ray rentals are ordered online, and Netflix mails the discs within the U.S. with a postage paid return envelope 11
- 12. 1. Google Analytics dashboards faster way is to import some of the pre-made dashboards from the Dashboard Gallery. Just click on the Dashboards link inside Google Analytics, and “Add Dashboard” to find a few from the gallery. You will find dashboards for understanding your audience engagement, how many visitors you have got and more. 12
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- 14. 14 2. Email marketing segmentation analysis Do you segment your email list by what your subscribers are interested in? This will help you tailor your email communications to subscribers, so that you deliver what they want
- 15. 3. Heat map analysis: heat maps come in. Eye-tracking and heat- map technologies can tell you what parts of Web page get the most attention. 15
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- 17. Big Data can unlock significant value by making information transparent Example: easily accessible & searchable . As organisations create and store more transactional data in digital form, they can collect more accurate and detailed performance information on everything from product inventories to sick days and therefore expose variability and boost performance 17
- 18. More accurate data Improved business decisions Improved marketing strategy and targeting Increased revenue due to increased customer and base and decreased costs 18
- 19. MIT’s Lincoln Laboratory in Lexington, Massachusetts. They say that combining big data with 3-D printing can dramatically improve the way people consume and understand data on a massive scale. 19
- 20. 20 3-D Printing is Revolutionizing the Display of Big Data