ddsf:public:guidebook:06_append:glossary:b:bigdata
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ddsf:public:guidebook:06_append:glossary:b:bigdata [2021/03/17 16:24] admin ↷ Links adapted because of a move operation |
ddsf:public:guidebook:06_append:glossary:b:bigdata [2021/07/14 16:15] (current) murphy ↷ Links adapted because of a move operation |
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| ===== Big-Data ===== | ===== Big-Data ===== | ||
| - | [[ddsf:private:guidebook:06_append:glossary| Return to Glossary ]] | + | [[ddsf:public:guidebook:06_append:glossary:start| Return to Glossary ]] |
| **Big Data** refers to data that is so large, fast or complex that it’s difficult or impossible to process using traditional methods. The act of accessing and storing large amounts of information for analytics has been around a long time. But the concept of **Big Data** gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of **Big Data** as the three V’s: | **Big Data** refers to data that is so large, fast or complex that it’s difficult or impossible to process using traditional methods. The act of accessing and storing large amounts of information for analytics has been around a long time. But the concept of **Big Data** gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of **Big Data** as the three V’s: | ||
| - | * **Volume:** Organizations collect data from a variety of sources, including business transactions, smart ([[ddsf:private:guidebook:06_append:glossary:i:internet_of_things_iot|IoT]]) devices, industrial equipment, videos, social media and more. In the past, storing it would have been a problem – but cheaper storage on platforms like data lakes and Hadoop have eased the burden. | + | * **Volume:** Organizations collect data from a variety of sources, including business transactions, smart ([[ddsf:public:guidebook:06_append:glossary:i:internet_of_things_iot|IoT]]) devices, industrial equipment, videos, social media and more. In the past, storing it would have been a problem – but cheaper storage on platforms like data lakes and Hadoop have eased the burden. |
| * **Velocity:** With the growth in the Internet of Things, data streams in to businesses at an unprecedented speed and must be handled in a timely manner. RFID tags, sensors and smart meters are driving the need to deal with these torrents of data in near-real time. | * **Velocity:** With the growth in the Internet of Things, data streams in to businesses at an unprecedented speed and must be handled in a timely manner. RFID tags, sensors and smart meters are driving the need to deal with these torrents of data in near-real time. | ||
ddsf/public/guidebook/06_append/glossary/b/bigdata.1616012659.txt.gz · Last modified: 2021/03/17 16:24 by admin
