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Data Engineering, Data Science

March 27, 2022

Create an ETL pipeline in Python with Pandas

An ETL (extract, transform, load) pipeline is a fundamental type of workflow in data engineering. The goal is to take data that might be unstructured or difficult to use or access and serve a source of clean, structured data. It’s also very straightforward and easy to build a simple pipeline as a Python script. The […]

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Data Engineering, Data Science

March 22, 2022

Understand Everything about ETL in Data Engineering

Introduction Do you ever wonder how your organization gets all employee information, salary, project details on a beautiful dashboard? Do you wonder how a Chef gets all his ratings, reviews consolidated as a single grade? Do you wonder how you will get a credit score based on all your credit history put together? Of course, […]

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Data Engineering, Data Science

February 22, 2022

Data science and Data engineering

Introduction: As the mathematician and data science entrepreneur Clive Humby said in 2006 ”Data is the oil” to say how important data is nowadays; data now feeds entire industries and has enormous value, so we will talk about two topics around data, namely data science (or data science) and data engineering (or data engineering). First […]

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Recent Posts

  • Quick tour of the DAX language
  • Image generation with Midjourney
  • Importing Data in Python
  • Data Science project life cycle
  • Create an ETL pipeline in Python with Pandas

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  • Issaka Sindi on Discover Data Science
  • Akang Jack on Discover Data Science

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