This document discusses automation testing for a big data project. It involves testing the import and export of data between various technologies like MongoDB, Redshift, Redis, Aerospike and AWS S3 through API requests and SQL queries. It also includes verifying integrations with external libraries and projects for functions like encrypting cookies, sending bid requests, and global reporting. The document is presented by Alexander Chumakin and provides his LinkedIn contact information for further discussion.

1. Automation testing in real
Big Data project
Alexander Chumakin
Backend QA

32. MongoDB → REST API request
Import data to RedShift → sql request
Check metrics → API requests to Graphite after import
Redis bitmaps → API request
Others (LogEntries → email listener, Hadoop reports)
Inner verifications

33. Export data to RTB AWS S3 → Amazon .NET lib
Verify RTB Aerospike → Aerospike .NET lib
Cookie id encrypting → external Serving library
Bid request with real money → HTTP request
Global Hadoop reporting → sql request
Integrations with external projects

34. Thanks for your
attention!
www.linkedin.com/in/achumakin