Igor Khrol
where else to find them
what they talk about
all 8 in the filters
where they keep going back
- DelEx Conf2 editions2018–2019
all 8 in the filters
on a stage with
- Alexei Booleonce
- Dmitriy Gumeniukonce
- Kanstantsin Aleksinonce
all 4 in the filters
who talks about the same things
- Jason Arbon14 talks
- Dmitriy Gumeniuk8 talks
- Tariq King18 talks
- Chris Harbert7 talks
- Sergey Korol6 talks
- Michael Bolton11 talks
| title | conference | date |
|---|---|---|
| Big Data With Open Source Solutions | Big Data Conference Europe 2023 | 2023-11-22 |
Automattic runs a Hadoop HDFS backed data lake on bare metal with Spark for ETL, Trino for low‑latency SQL, Yarn as the cluster resource manager, Airflow… | ||
| How to Test BigData/ETL Solutions? | TestCon Europe 2023 | 2023-10-25 |
Claims that table-heavy ETL is best tested by Cucumber table tests with fast unit checks and SQL formatting via IntelliJ, that pipelines run as Airflow DAGs… | ||
| BOF: SDET – yet another rattle title or separate engineering line | DelEx Conference 2020: DevOps & Test Automation | 2020-02-14 |
The talk examines the SDET role as originating at Microsoft but often marketed as a premium title, illustrating concrete work such as testing storage firmware… | ||
| Monads for Testers | Selenium Camp 2019 | 2019-02-22 |
Shows how functional programming in Scala on the JVM helps testers avoid bugs by using Option to eliminate nulls, Either instead of exceptions, immutable case… | ||
| Monads for Testers | DelEx Conf 2019 | 2019-02-08 |
Shows concrete Scala-on-JVM examples of replacing exceptions with Option and Either to return values-or-errors, using map/flatMap for monadic composition, and… | ||
| How to Test Artificial Intelligence and Machine Learning Solutions? | SeleniumCamp 2018 | 2018-03-02 |
Practical guidance for testing machine learning and AI services: names types of problems that differ from regular software testing and describes approaches… | ||
| How to Test Artificial Intelligence and Machine Learning Solutions? | DelEx Conf 2018 | 2018-02-17 |
Demonstrates testing a Titanic ML classifier built with Python and pandas: trains logistic regression, improves ROC AUC from 0.77 to 0.85 via feature… | ||
| Data Warehouse in Google Cloud | GDG DevFest Ukraine 2017 | 2017-10-13 |
Toptal builds a Data Warehouse on Google Cloud using BigQuery for self-service analytics, Google Cloud Storage for daily Avro snapshots, and an ETL pipeline in… | ||
| Test Automation: Do the Same but Better | TestCon Vilnius 2016 | 2016-10-21 |
A tiny Rails app that calculates an average rate and tests written in Ruby move from Selenium Firefox UI tests to direct DB inserts then to an internal JSON… | ||
| nothing matches | ||