Amazon Kinesis data output

This article provides an introduction to Amazon Kinesis along with a guide on creating an Amazon Kinesis data output using Upsolver.

What is Amazon Kinesis Stream?

Amazon Kinesis Data Streams (KDS) is a real-time data streaming service.

KDS can continuously capture gigabytes of data per second from hundreds of thousands of sources such as website clickstreams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events. The data collected is available in milliseconds to enable real-time analytics use cases such as real-time dashboards, real-time anomaly detection, dynamic pricing, and more.

Create an Amazon Kinesis data output

1. Go to the Outputs page and click New.

2. Select Amazon Kinesis as your output type.

3. Name your output and select whether the output should be Tabular or Hierarchical. After adding your Data Sources, click Next.

Click Properties to review this output's properties. See: Output properties

How many of the events in this data source include this field, expressed as a percentage (e.g. 20.81%).

The percentage distribution of the field values. These distribution values can be exported by clicking Export.

The number of fields in the selected hierarchy.

Toggle from UI to SQL at any point to view the corresponding SQL code for your selected output.

You can also edit your output directly in SQL. See: Transform with SQL

7. Add any required calculated fields and review them in the Calculated Fields tab. See: Adding Calculated Fields

8. Add any required lookups and review them under the Calculated Fields tab.

9. Through the Filters tab, add a filter like WHERE in SQL to the data source. See: Adding Filters

10. Click Make Aggregated to turn the output into an aggregated output. Read the warning before clicking OK and then add the required aggregation. This aggregation field will then be added to the Schema tab. See: Aggregation Functions

11. In the Aggregation Calculated Fields area under the Calculated Fields tab, add any required calculated fields on aggregations. See: Functions, Aggregation Functions

Click Preview at any time to view a preview of your current output.

12. Click Run and fill out the following fields:

See: Running an Output

14. Click Next and complete the following:

Select the compute cluster to run the calculation on. Alternatively, click the drop-down and create a new compute cluster.

15. Finally, click Deploy to run the output. It will show as Running in the output panel and is now live in production and consumes compute resources.

If you experience errors while running your output, you may need to add a policy to allow the Upsolver role to read from and write to Kinesis from your AWS IAM.

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