In today’s fast-paced world, organizations need to be able to process and analyze data in real-time to stay competitive. Streaming data, which refers to data that is generated continuously and in real-time, has become a crucial component of modern applications. However, processing and analyzing streaming data can be challenging, especially when dealing with large volumes of data.
Amazon Web Services (AWS) offers a solution to this problem with its Kinesis suite of services. With Kinesis, you can ingest real-time data, such as video, audio, application logs, website clickstreams, and IoT telemetry data, for machine learning (ML), analytics, and other applications. Kinesis offers several services that allow you to ingest, process, and analyze streaming data. These services include Kinesis Data Streams, Kinesis Firehose, Kinesis Video Streams, and Kinesis Analytics. This article will explore these four ways to ingest streaming data in AWS using Kinesis.