New Kinesis Analytics stream processing functions for time series analytics, real time sessionization, and more

You can now use 6 new stream processing functions in your Amazon Kinesis Analytics applications to process streaming data in real-time.

Kinesis Analytics is the easiest way to process streaming data in real time with standard SQL without having to learn new programming languages or processing frameworks. Kinesis Analytics enables you to query streaming data or build entire streaming applications using SQL, so that you can gain actionable insights and respond to your business and customer needs promptly.

Today, Kinesis Analytics expands its processing capabilities with 6 new stream processing functions. First, the new STEP() function provides you a simpler way to perform time-series analytics. Second, real-time sessionization use cases have become easier with the addition of the LAG() function. Third, we have added support for conversion of Unix timestamps with TO_TIMESTAMP() and UNIX_TIMESTAMP functions. Finally, you can parse complicated strings in your data with additional regular expression functions including REGEX_REPLACE() and SUBSTRING() with regex support.

Kinesis Analytics is available in the US East (N. Virginia), US West (Oregon), and EU (Ireland) regions.