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Yingzhao Ouyang
Data and AI Transformation Specialist
Driving value in cloud, data and generative AI solutions for enterprises
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Build Your Own LinkedIn Analytics Part 11: Key Takeaways and Lessons Learned
In the 11th and penultimate post of the series, I look back on what has been achieved, what can be done better and what has been learned.
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Build Your Own LinkedIn Analytics Part 10: Observing the Pipeline
In the 10th post of the series, I show how to set up observability on our data pipeline to monitor its condition and act as necessary.
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Build Your Own LinkedIn Analytics Part 9: Making a Maintainable Pipeline
In the 9th post of the series, I use a combination of Git and Databricks Asset Bundles to make the data pipeline easily deployable and maintainable.
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Build Your Own LinkedIn Analytics Part 8: Orchestrating and Automating the Pipeline
In the 8th post of the series, I convert the scattered pieces of data ingestion, processing and dashboarding into an orchestrated and automated data pipeline.
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Build Your Own LinkedIn Analytics Part 7: Dashboard Design for Insights and Impact
In the 7th post of the series, I build a dashbord on Databricks for the ingested LinkedIn data.
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Build Your Own LinkedIn Analytics Part 6: Modelling the Data
In the 6h post of the series, I explore the approaches to modelling the LinkedIn data in the gold layer.
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