Testing Big Data Solutions Fast and Furiously

on YouTube ↗45m

" summary

Covers testing strategies and how to build an automated test framework for Cloud Big Data projects that lack a conventional back-end or front-end. Describes which parts of Big Data systems to prioritize for test coverage and how to implement efficient automation using modern tools and technologies, with a step‑by‑step approach to creating a reliable, extensible framework from scratch.

AI-written summary · about

" chapters (13)

1. 0:00Introduction
2. 1:16What is Big Data
3. 5:56Big Data ecosystem
4. 13:12Testing Big Data solutions
5. 14:39Big Data test types
6. 19:13Real data vs mocks
7. 22:41Testing pyramid
8. 24:11Unit and integration tests
9. 27:25Testing tools
10. 31:46Acceptance testing framework
11. 33:30Q&A
12. 40:36Batch vs streaming
13. 42:22Databases and recommendations

" related talks

• 30mHow to Test BigData/ETL Solutions?Igor Khrol · TestCon Europe 2023
• 42mAutomation Testing in a Real Big Data ProjectAlexander Chumakin · Selenium Camp 2017
• 53mDesigning Big Data Solutions on Microsoft AzureAndrey Antilikatorov · .NET Fest 2019
• 47mTest Data Key to Effective Test CoverageAshok Kumar · TestMu Conference 2025
• 33mAnalytics Data Driven TestingSlavik Pashanin · QA Fest 2018
• 30mA Devops Approach to Data: A Tale Through the Trenches in Search of a Cloud Data Revolutionadam dubrey · DevOps Pro Europe 2021
• 28mBig Data: From Testing to GovernanceAleksandr Kublickij · TestCon Vilnius 2016
• 09mTechTalk "Preparing Data for Integration and E2E System Testing"Aleksandr Kolesnikov · TestDriven Conf 2022