What is Amazon Kinesis Data Analytics?
Amazon Kinesis Data Analytics makes it easy to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real-time. Amazon Kinesis Data Analytics reduces the problem of creating, managing, and integrating streaming applications with other AWS services. SQL users can easily query streaming data or create entire streaming applications using templates and an interactive SQL editor. Java developers can quickly create sophisticated streaming applications using open source Java libraries and AWS integrations.
Amazon Kinesis Data Analytics takes care of everything you need to continuously run your real-time applications and automatically scale to match the size and performance of your incoming data. With Amazon Kinesis Data Analytics, you only pay for the resources your streaming apps use. There is no minimum fee or setup cost.
Powerful real-time processing – Amazon Kinesis Data Analytics provides built-in functions to filter, aggregate, and convert streaming data for advanced analytics. It processes streaming data with sub-second delays, enabling you to analyze and respond to incoming data and streaming events in real-time.
There are no servers to manage – Amazon Kinesis Data Analytics is serverless; There are no servers to manage. It runs your streaming applications without the need to provide or manage any infrastructure. Amazon Kinesis Data Analytics automatically scales up and down the support needed to run your applications with minimal delay.
Pay only for what you use – With Amazon Kinesis Data Analytics, you only pay for processing resources that your streaming applications use. There are no minimum fees or overt obligations.
Easy to Use
Amazon Kinesis Data Analytics lets you easily and quickly create queries and sophisticated streaming applications in three simple steps: set up your streaming data sources, write your queries or streaming applications, and set a target for processed data. Amazon Kinesis Data Analytics takes care of your queries and requests constantly on the data while it is in traffic and sends the results to your destinations.
Amazon Kinesis offers data analytics templates and an interactive editor that helps you create SQL queries that perform joins, aggregations over time windows, filters, and more. Select the appropriate model for your analytics work and edit the code provided using the SQL Editor to customize your specific use case.
Amazon Kinesis Data Analytics includes open source libraries based on Apache Fling, which help you create an app in hours instead of months. Using your favourite IDE, you can connect to AWS and install Java libraries. Extensive libraries include more than 25 pre-built operators to filter, aggregate, and convert streaming data. Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon Kinesis Data Firehose, AWS with Amazon Elastic Search Service, Amazon S3, and Amazon DynamoDB.
How it Works
Amazon Kinesis Data Analytics is ideal for solving a wide range of streaming data use cases –
Streaming EDL for Internet-of-Things (IoT) with Java applications
You can write Java applications and use Amazon Kinesis Data Analytics to convert and filter streaming data from IoT devices such as consumer equipment, embedded sensors and TV set-top boxes. Data can be used to send real-time alerts when a sensor exceeds certain operating limits.
Real-time log analysis with SQL
With Amazon Kinesis Data Analytics, you can stream billions of small messages and calculate key metrics, which you can then use to update content performance dashboards in real-time and improve content performance.
Advertising Technology and Digital Marketing with SQL
You can consume a variety of data records from visitor tracking systems, ad exchange listeners/bidders and ad servers and combine them into one stream. Then, Amazon Kinesis Data Analytics can be used to continuously make data changes to drive real-time advertising and digital marketing solutions.
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