Data Lakes Data Wrangling Exploratory Data Analysis 
Pickl AI
APRIL 21, 2025
This is where Big Data often comes into play as the source material. Cleaning and Preparing the Data (Data Wrangling) Raw data is almost always messy. This often takes up a significant chunk of a data scientist’s time. Think graphs, charts, and summary statistics.
The MLOps Blog
OCTOBER 20, 2023
And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis. When data science was sexy , notebooks weren’t a thing yet. documentation.
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