Miller process the gold is removed and processed in the manner required for sale or use. The resulting gold is 99.95% pure, but of lower purity than gold produced by the other common refining method, the Wohlwill process, which produces gold to 99.999% purity. The Wohlwill process is commonly used for producing high-purity gold, such as in electronics work and the manufacture of some silicates, where exacting standards of purity are required. When highest purity gold is not required, refiners often utilize the Miller process due to its relative ease, quicker turnaround times, and because it does not tie up the large
Industrial big data general-purpose big data analytics might not work well for industrial data. Industrial big data requires deeper domain knowledge, clear definitions of analytical system functions, and the right timing of delivering extracted insights to the right personnel to support wiser decision making. As data from automated industrial equipment are being generated at an extraordinary speed and volume, the infrastructure of storing and managing these data becomes the first challenge any industry will face. Different from the tradition business intelligence which mostly focuses on internal structured data and processes that information in regularly occurring cycles, "Industrial Big Data” analytical system requires near