AWS SAA-26: Kinesis

<ul> <li>Amazon Kinesis is a family of real-time data streaming and processing services provided by Amazon Web Services (AWS).</li> <li>These services enable you to ingest, process, analyse, and respond to streaming data at scale.</li> <li>Kinesis is designed to handle large volumes of real-time data from sources such as IoT devices, log files, social media, and more.</li> <li>Here&rsquo;s an overview of the main services in the Amazon Kinesis family:</li> </ul> <h2>Amazon Kinesis Data Streams:</h2> <ul> <li>Ingest and Store Real-Time Data: Kinesis Data Streams allows you to ingest and store real-time data, such as log data or clickstreams. Data is partitioned across multiple shards to enable horizontal scaling and high throughput.</li> <li>Data Processing: You can process data from Kinesis Data Streams with applications you build, such as stream processors or data aggregators.</li> <li>Use Cases: Common use cases include real-time analytics, data transformation, and monitoring of live application data.</li> </ul> <h2>Amazon Kinesis Data Firehose:</h2> <ul> <li>Data Delivery to Destinations: Kinesis Data Firehose simplifies the process of delivering real-time data to various AWS services, including Amazon S3, Amazon Redshift, and Amazon Elasticsearch.</li> <li>Data Transformation: It can automatically transform and compress data before delivery to the chosen destination.</li> <li>Use Cases: Useful for use cases like data lakes, data warehousing, and log storage.</li> </ul> <p><a href="https://medium.com/@kiran_c/aws-saa-26-kinesis-fcbc5d3e6877"><strong>Learn More</strong></a></p>