Chapter 11. Analytics-on-write

This chapter covers

  • Simple algorithms for analytics-on-write on event streams
  • Modeling operational reporting as a DynamoDB table
  • Writing an AWS Lambda function for analytics-on-write
  • Deploying and testing an AWS Lambda function

In the previous chapter, we implemented a simple analytics-on-read strategy for OOPS, our fictitious package-delivery company, using Amazon Redshift. The focus was on storing our event stream in Redshift in such a way as to support as many analyses as possible “after the fact.” We modeled a fat event table, widened it further with dimension lookups for key entities including drivers and trucks, and then tried out a few analyses on the data in SQL.

For the purposes of this chapter, we ...

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