Consulting
Speaker
Bartosz Mikulski
Data Craft - making data pipelines trustworthy
Featured
How to train a Reinforcement Learning Agent using Tensorflow Agents
The reinforcement learning loop with Tensorflow Agents
How to deal with underfitting and overfitting in deep learning
The lessons learned from Andrew Ng’s online course
How to split a list inside a Dataframe cell into rows in Pandas
Step by step instructions to "explode" a list into DataFrame rows.
Monte Carlo simulation in Python
How to make business decisions using the Monte Carlo simulation?
All Stories
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.
Data streaming with Apache Kafka - guide for data engineers
Are you preparing for a data engineer job interview? Here are my answers to job interview questions about data streaming.
Data streaming: what is the difference between the tumbling and sliding window?
When you start processing streams of events, there always comes a time to decide on how to group them. We have a few kinds of window functions that we can...
I put a carnivorous plant on the Internet of Things to save its life, and it did not survive
This article is a text version of my talk, "I put a carnivorous plant on the Internet of Things," which I presented during the DataNatives conference (November 25-26, 2019 in...
What are the 4 V's of big data, and which one is the most important?
One of the first models that describe what big data is was the four Vs-model. That definition divides big data into four categories (sometimes called dimensions) of problems: volume, velocity,...
10x software architecture: high cohesion
A few months ago, it was fashionable to complain about the 10x developer myth. I agree that such people don’t exist, but, in my opinion, proper software architecture can transform...
How to add dependencies to AWS lambda
The process of adding dependencies to an AWS Lambda consists of two steps. First, we have to install the dependencies in the source code directory. Later, we have to package...
Four books to boost your programmer career in 2020
I quit my dream job because of a book
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