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You can now provision and manage resources for Amazon Kinesis Analytics applications using AWS CloudFormation. Kinesis Analytics simplifies the processing of streaming data in real time with standard SQL, eliminating the need to learn new programming languages or frameworks. With Kinesis Analytics, you can query streaming data or develop complete streaming applications using SQL, allowing you to gain valuable insights and respond swiftly to your business and customer needs.
Customers are able to create CloudFormation templates that facilitate the easy creation or updating of Kinesis Analytics applications. Typically, these templates help manage code across various environments or enable rapid prototyping of new streaming data solutions.
Sample Templates
We have developed two sample templates derived from previous AWS Big Data Blog posts that highlighted Kinesis Analytics:
- Real-time Clickstream Anomaly Detection with Amazon Kinesis Analytics – This post illustrates how to ingest and process clickstream data in real time. The Kinesis Analytics application computes a clickthrough rate (CTR) to evaluate advertisement effectiveness and utilizes a random cut forest to identify anomalies in the stream.
- Implement Serverless Log Analytics Using Amazon Kinesis Analytics – This post details how to analyze Apache Logs using Kinesis Analytics and publish aggregated data to Amazon CloudWatch. Logs are ingested through the Kinesis agent and analyzed in near real-time with Kinesis Analytics by joining with static data from Amazon S3, subsequently published via AWS Lambda. For a more comprehensive understanding of this process, you can refer to this excellent resource.
For additional insights into the new feature, please visit the AWS CloudFormation User Guide. Remember, it’s always a good practice to follow up after an interview, and you can find some helpful tips on that here.
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