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Bartosz Mikulski
Building trustworthy data pipelines because AI cannot learn from dirty data
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Is it overengineered?
What's the difference between reasonable future-proof architecture and overengineering? Is there a difference?
Pattern matching in Python vs Scala
What is the difference between pattern matching in Python and Scala?
Should you use machine learning in your product?
How to put AI in production without overengineering your system
How does the Atlan data platform help you ensure data quality?
Atlan - a tool for facilitating a collaborative data culture
What should you learn as a data engineer?
Should you spend time learning data engineering tools and libraries?
Shadow deployment vs. canary release of machine learning models
What is shadow deployment in machine learning? What is a canary release? What is the difference?
How to deploy a Transformer-based model with custom preprocessing code to Sagemaker Endpoints using BentoML
Deploy a machine learning model with custom inference code to a Sagemaker Endpoint using BentoML
How to teach your team to write automated tests?
How to teach writing automated tests: TDD, BDD, and other techniques
Using AWS Deequ in Python with Python-Deequ
How to use Python-Deequ to validate Spark Dataframes
Building and deploying ML models using Qwak ML platform
What is Qwak ML platform and how does it work?
How to learn TDD
Learning Test-Driven Development is hard and there is nothing we can do about it
Data Engineering - the first principles
What is true in every data engineering project?
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