دانلود کتاب راهنمای عملی کافکا – استریم با kafka -نسخه 8

In a nutshell, event streaming is capturing events generated from different sources like mobile devices, customer interaction with websites, online activity, shipment tracking, and business transactions. Event streaming is analogous to our nervous system, processing millions of events and sending signals to the appropriate parts of our body. Some signals are generated by our actions such as reaching for an apple, and other signals are handled unconsciously, as when your heart rate increases in anticipation of some exciting news. We could also see activities from machines such as sensors and inventory control as event streaming. But event streaming doesn’t stop at capturing events; it also means processing and durable storage. The ability to process the event stream immediately is essential for making decisions based on real-time information. For example, does this purchase from customer X seem suspicious? Are the signals coming from this temperature sensor seem to indicate that something has gone wrong in a manufacturing process? Has the routing information been sent to the appropriate department of a business? The value of the event stream is not limited to immediate information. By providing durable storage, we can go back and look at event stream data-in its raw form or perform some manipulation of the data for more insight.