Category: Analytics
Service: Amazon Kinesis
Answer:
An Amazon Kinesis application is composed of several components that work together to process streaming data. Here are the different components:
Data Producers: These are the sources of the data that is being streamed into the Kinesis application. Data producers can include applications, IoT devices, and other data sources.
Kinesis Streams: This is the core component of the Kinesis application. Kinesis streams are highly scalable and durable data streams that allow you to continuously collect and process large amounts of streaming data in real-time.
Kinesis Data Analytics: This is a managed service that allows you to analyze and process streaming data with SQL queries. Kinesis Data Analytics supports a variety of data sources and allows you to perform real-time analytics on streaming data.
Kinesis Data Firehose: This is a managed service that allows you to reliably and securely deliver streaming data to destinations such as Amazon S3, Amazon Redshift, or Amazon Elasticsearch Service.
Kinesis Client Library: This is a software library that allows you to build applications that consume and process data from Kinesis streams. The Kinesis Client Library provides a simple and scalable way to process data in real-time.
When a data producer sends data to a Kinesis stream, the data is partitioned and stored in the stream. Kinesis Data Analytics can then read and process the data in real-time using SQL queries. Kinesis Data Firehose can also read data from the stream and deliver it to a destination in real-time. The Kinesis Client Library allows you to build custom applications that can read and process data from the stream using programming languages such as Java, Python, or Ruby.
Overall, the components of an Amazon Kinesis application work together to provide a highly scalable and reliable way to collect, process, and analyze streaming data in real-time.
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