The Three V’s of Big Data
Since 2007, Lucidworks has helped clients in a range of industries improve enterprise search capabilities. The creators of the Fusion search application, Lucidworks also works with clients to help them reap the benefits of big data.
A concept formed in the early 2000s by Doug Laney, a technology industry analyst, big data is often defined using the three V's:
Volume. Companies receive large volumes of data from a range of sources, which can include social media, transactions with clients, and machines. This volume presents a storage challenge, to which modern technology has risen.
Velocity. Organizations receive new data at a faster rate than ever before, often nearing real time. Fast processing of this data is paramount. Sensors, smart metering, and RFID tags are all useful tools in these efforts to process data quickly.
Variety. Data is now received in a large variety of formats, so organizations need to decipher and analyze multiple data streams. Format examples include numeric data, email, audio, and financial transactions.
A concept formed in the early 2000s by Doug Laney, a technology industry analyst, big data is often defined using the three V's:
Volume. Companies receive large volumes of data from a range of sources, which can include social media, transactions with clients, and machines. This volume presents a storage challenge, to which modern technology has risen.
Velocity. Organizations receive new data at a faster rate than ever before, often nearing real time. Fast processing of this data is paramount. Sensors, smart metering, and RFID tags are all useful tools in these efforts to process data quickly.
Variety. Data is now received in a large variety of formats, so organizations need to decipher and analyze multiple data streams. Format examples include numeric data, email, audio, and financial transactions.
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