FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Velocity refers to the speed with which data is generated. High velocity data is generated with such a pace that it requires distinct (distributed) processing techniques. An example of a data that is generated with high velocity would be Twitter messages or Facebook posts.

Detailed explanation-2: -Velocity refers to the speed at which data is generated and must be processed and analyzed. In many cases, sets of big data are updated on a real-or near-real-time basis, instead of the daily, weekly or monthly updates made in many traditional data warehouses.

Detailed explanation-3: -Velocity. The next of the 5 V’s of big data is velocity. It refers to how quickly data is generated and how quickly that data moves. This is an important aspect for companies need that need their data to flow quickly, so it’s available at the right times to make the best business decisions possible.

Detailed explanation-4: -Volume refers to the amount of data, velocity refers to the speed of data processing, and variety refers to the number of types of data.

Detailed explanation-5: -Fast data, by contrast, is streaming data: data in motion. Fast data demands to be dealt with as it streams in to the enterprise in real time. Big data can be dealt with some other time-typically after it’s been stored in a Hadoop data warehouse-and analyzed via batch processing.