FAQs On Amazon Kinesis
1. Amazon Kinesis Data FireHose
Firehose allows the users to load or transformed their streams of data into amazon web service latter transfer for the other functionalities like analyzing or storing. It does not require continuous management as it is fully automated and scales automatically according to the data.
2. Amazon Kinesis Analytics
It allows the streams of data provided by the kinesis firehose and kinesis streams to analyze and process it with the standard SQL. It analyzes the data format and automatically parses the data and by using some standard interactive schema editor to edit it in recommend schema. It also provides pre-built stream process templates that can be used to select a suitable template for their data analytics.
3. Amazon Kinesis vs Kafka
Both Apache Kafka and Amazon Kinesis are well-known real-time data streaming systems, although they serve different purposes and have different features.
What is Amazon Kinesis?
Amazon Kinesis is a service provided by Amazon Web Service that allows users to process a large amount of data (which can be audio, video, application logs, website clickstreams, and IoT telemetry )per second in real time. In today’s scenario handling a large amount of data becomes very important and for that, there is a complete whole subject known as Big Data which works upoon how to process or handle the streams of large amounts of data. So Amazon came up with a solution known as Amazon Kinesis which is fully managed and automated and can handle the real-time large streams of data with ease. It allows users to collect, store, capture, and process many logs from distributed streams such as social media feeds. It makes users focus on the development by taking any amount of data from any source to process it. After processing all the data, Kinesis also distributes all the data to the consumers simultaneously.