![]() As Nathan Rothschild’s story shows us, speed wins. This additional time lag is expensive for enterprises. Depending on the query schedule, it could be minutes, hours, or even days later. As such, this definition doesn’t account for the time between initial data generation and actual query time. Our definition contrasts with traditional latency measurement standards used for query response time, which measure the amount of time it takes to process historical data. A real-time analytics system’s value is to make such processes happen with minimal delay. So, we see the definition of latency as the delay between data being generated and collected to data being processed and ready for decision making. In the age of the big data, the value of BI or analytics systems is to turn data into insight or wisdom. A win for the Rothschild family, and lovers of low-latency analytics, alike! So in a very real sense, the Rothschild family dynastic wealth was created in no small part from a low-latency data system, enabling Nathan to make bold decisions faster than other financiers. Rothschild leveraged this time/information advantage to buy up the government bond market, selling two years later for an enormous profit. ![]() The Rothschilds had set up an efficient information system, and knew that Napoleon had lost at Waterloo a day before the government did. Ever the savvy financier, Rothschild saw an opportunity and used speed to exploit it. In 1815, Napoleon was famously defeated at the Battle of Waterloo by the Duke of Wellington, marking the end of the Napoleonic Wars. One of my favorite examples of how “speed wins” comes from Nathan Rothschild, the renowned English-German financier. Those who can’t keep up? Relegated to the dustbins of history. Throughout history, the winning bet is usually on the faster beast or organization. Need for Speed: Evaluating Real-time Analytics Systems
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |