In today's rapidly developing world, data is an asset. For large enterprises in this digital era, data is constantly being generated from various digital sites or sources, such as sensors, telemetry data, audio files, videos, application or server logs, gaming apps, and website click streams. It is, therefore, a challenge to collect, process, and analyze large amounts of data in real time. Usually, the data of any enterprise will exist in various formats, come from different sources, and generate data according to individual velocity rates.
Amazon Kinesis makes it possible to ingest, buffer, and process real-time data in various formats (or varieties). Each of these data generation formats can be of a different size (or volume), and each individual source can have different a data generation speed (or velocity). At the time of writing this book, Amazon...
