Answer to Question 1
Volume: This is obviously the most common trait of Big Data. Many factors contributed to the exponential increase in data volume, such as transaction-based data stored through the years, text data constantly streaming in from social media, increasing amounts of sensor data being collected, automatically generated RFID and GPS data, and so forth.
Variety: Data today comes in all types of formatsranging from traditional databases to hierarchical data stores created by the end users and OLAP systems, to text documents, e-mail, XML, meter-collected, sensor-captured data, to video, audio, and stock ticker data. By some estimates, 80 to 85 percent of all organizations' data is in some sort of unstructured or semistructured format
Velocity: This refers to both how fast data is being produced and how fast the data must be processed (i.e., captured, stored, and analyzed) to meet the need or demand. RFID tags, automated sensors, GPS devices, and smart meters are driving an increasing need to deal with torrents of data in nearreal time.
Answer to Question 2
statistics
Structure of cellulose, the main macromolecule of the primary cell wall
Table 6.1 illustrates the main regime types and their differences. It breaks the regimes into four
ICD-10-CM Tabular List
Looking carefully at the scan tool data is very helpful in locating the source of a problem.
Main Hall, Trajan's Market
Ribosome structure and tRNA-binding sites interpreted from cryo-EM–generated data