Build Your Own LinkedIn Analytics Part 5: Cleaning and Transforming Data
In the 5th article in the series, I cover the process of cleaning and transforming the LinkedIn data into a Single Source of Truth (SSOT) in the silver layer.
Author: Yingzhao Ouyang
Yingzhao Ouyang is an AI and data engineering specialist with a distinctive blend of humanities, business, and technical expertise, bringing a uniquely holistic perspective to enterprise data challenges that others with purely technical backgrounds miss. To find out more, follow his LinkedIn profile at https://www.linkedin.com/in/yzouyang/
Build Your Own LinkedIn Analytics Part 4: Ingesting Data
In the 4th article in the series, I deep dive into the ingestion process into bronze layer and highlight relevant industry practices along the way.
Build Your Own LinkedIn Analytics Part 3: Creating the Data Architecture
In this 3rd article in the series I examine what LinkedIn data to ingest and where to ingest it from.
Build Your Own LinkedIn Analytics Part 2: Choosing the Data Source
In this 2nd article in a LinkedIn analytics data product series, I will examine what LinkedIn data to ingest and where to ingest it from.
Build Your Own LinkedIn Analytics Part 1: Why It Matters (and What You’ll Learn)
In this first article in a series, I will examine what already exists out there for personal LinkedIn analytics, then explain why I decided to build my own analytics platform on Databricks Free Edition. Subsequent articles will explore how I implement the analytics plaform in a step-by-step fashion.