Time series refers to the data generated at regular intervals and constitutes a sizable number of business problems faced in enterprises. A stock ticker is a classic example of time series data, where stock prices keep on changing continuously. Today, in most stock markets across the world, stock prices are captured at millisecond levels since multiple buy/sell decisions might be happening at the same time, and even a small time lapse can result in millions of dollars gained or lost. Cassandra has lots of feature sets that make it a perfect candidate for time series analytics, and this is what we will be covering in this pattern.
Which data store should we use for time series analytics?