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Career Coaching for Data Professionals
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Bartosz Mikulski
Building trustworthy data pipelines because AI cannot learn from dirty data
All Stories
How does Kafka Connect work?
In this article, I am going to describe the internals of Kafka Connect, explain how it uses the Sink and Source Connectors, and how it tracks the offsets of the...
Why my Airflow tasks got stuck in "no_status" and how I fixed it
A story about debugging an Airflow DAG that was not starting tasks
What is Kafka log compaction, and how does it work?
How the log compaction is implemented in Apache Kafka and how to configure it properly
How does a Kafka Cluster work?
What is the difference between a leader and a replica broker? What is the cluster controller? How is the controller elected?
Athena performance tips explained
How to use query execution plans to speed up Athena queries
Data flow - what functional programming and Unix philosophy can teach us about data streaming
What does stream processing have in common with functional programming and Unix?
AWS IAM roles and policies explained
In this article, I am going to explain the essential parts of IAM and describe how to grant permissions to your users or AWS Lambda functions you wrote.
How to be happy at work - lessons learned from "Career superpowers" book
In this article, I share the lessons I learned from James Whittaker’s book “Career Superpowers: Succeeding on Purpose.”
How to send metrics to AWS CloudWatch from custom Python code
How to unit test PySpark
Recently, I came across an interesting problem: how to speed up the feedback loop while maintaining a PySpark DAG. Of course, I could just run the Spark Job and look...
How to speed up a PySpark job
I had a Spark job that occasionally was running extremely slow. On a typical day, Spark needed around one hour to finish it, but sometimes it required over four hours....
How does MapReduce work, and how is it similar to Apache Spark?
In this article, I am going to explain the original MapReduce paper “MapReduce: Simplified Data Processing on Large Clusters,” published in 2004 by Jeffrey Dean and Sanjay Ghemawat.
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