George Michael DagogoBuilding a Simple End-to-End Cryptocurrency Data Pipeline with GitHub Actions and an Introduction…AbstractJul 22Jul 22
George Michael DagogoA simple Introduction to Data PipelinesThe Data field can sometimes be immense, it’s ever-evolving with the amount of data produced exponentially increasing and new tools coming…Jul 22Jul 22
George Michael DagogoBasics Of Apache Spark and Pyspark(DIM)Apache Spark is an open-source, distributed computing system designed for processing large-scale data efficiently. It provides a unified…Jul 15Jul 15
George Michael DagogoBuilding a Financial Data Pipeline on Databricks Using The Medallion Architecture(DIM)Since we’ve been concisely introduced to the basics of the Databricks Lakehouse Platform, let's dive deeper with this project where we’ll…Jul 141Jul 141
George Michael DagogoSimple End-to-End Data Engineering Project Entirely On Databricks(DIM)This project gives a simple practical introduction to Databricks’ platform. We’ll create a complete data pipeline from extraction to…Jun 41Jun 41
George Michael DagogoDatabricks: A Modern Data Lakehouse Platform(DIM)This article about Databricks covers a broad range of topics, including the definition and benefits of a data lakehouse platform, the…May 30May 30
George Michael DagogoBuilding a News Data Pipeline with Azure: News API to Blob Storage and PostgreSQL Database…We’ve often wanted to work on Data Engineering projects that cover a wide variety of tools and concepts, which is good but we should…May 2May 2
George Michael DagogoIntroduction to Web Scraping With Beautiful Soup and Data Cleaning With Pandas(DIM)This article gives a simple introduction to practical web scraping with Beautiful Soup and how we can transform data with Pandas.Mar 19Mar 19
George Michael DagogoinPython in Plain EnglishDemystifying Web Scraping: Tools, Techniques, and Best Practices(DIM)1. How does it workMar 18Mar 18
George Michael DagogoData Engineering Skills and Toolbox in 2024Understand these concepts and how to implement them and you’ll always be in demand in the Data Engineering field. With numerous new tools…Mar 5Mar 5
