Data Engineering

Airflow, pipelines, and the data science lifecycle.

6 articles

• A guide to the data science life cycle

  The six stages of the data science life cycle — define, collect, explore, model, evaluate, deploy — and why the process is iterative, not linear.

  January 5, 2023

• Seaborn for Data Visualization in Python

  Seaborn is a statistical plotting library on top of matplotlib. It works with pandas DataFrames and offers concise, attractive charts. Getting started.

  January 5, 2023

• Correlation is a part of multivariate analysis? Explained

  Correlation measures the linear relationship between two variables and is one building block of multivariate analysis. How they relate, and the caveats.

  January 4, 2023

• Extend Apache Airflow with Custom Operators and Tasks

  Learn how to extend Apache Airflow with custom Operators and Tasks. Follow our step-by-step guide with examples to enhance your workflow automation.

  January 1, 2023

• How to set up Apache Airflow on your local machine?

  To set up Airflow, you'll need to have Python and a few other dependencies installed on your machine.

  December 29, 2022

• A Beginner's Guide to Apache Airflow

  Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows.

  December 28, 2022

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