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Big Data: Concept, Challenges and Management Tools
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bahri, R. |
| Copyright Year | 2015 |
| Abstract | We are at the beginning of a big data era when data is generated at an incredible speed from everywhere. Computing has become global, number of devices like cell phones, smart phones, laptops, personal sensors are creating countless new digital oceans of information. A few years ago we talked about data storage in megabytes and gigabytes but now a days huge amount of data found on internet which is close to 500 billion gigabytes(1).According to IBM 2.5 quintillion bytes of data are generated daily. Data is generated at unbelievable speed from satellites, social networking sites, videos uploaded on YouTube. All the people around the world acts as a sensor and generate data at every second either it is our location shown on Facebook through gprs signals or our movement by gathering data from our mobile phones or smartphone devices(2). So Big Data is a term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis and visualization of Big Data(4). |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijarcsse.com/Before_August_2017/docs/papers/Volume_5/2_February2015/V5I2-0457.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |