Write Your First ETL Pipeline (Part III)
Take a SQL script from a SQL environment to Google Cloud Platform by introducing a dynamic data check and upload step.
Take a SQL script from a SQL environment to Google Cloud Platform by introducing a dynamic data check and upload step.
Learn service account logic, use cases and the unavoidable business problem they solve.
Quickly identify, isolate and fix malfunctioning data pipelines for quality data, happier stakeholders and a stress-free workday.
Reduce the complexity and execution time of your queries with views for cleaner data and happier stakeholders.
Learn the components of data pipeline production to take your ETL build from code to cloud with automated, actionable results.
In 5 lines of Python store information about requests, timestamps and status flags to avoid unexpected API charges.
A hacky workaround for one of the biggest problems in SQL.
How I used python to help a Wall Street banker pick stocks (part II).
How a conversation between friends turned into a potentially lucrative data side project (with code walkthrough).
Understand when to stream data, how to configure a pipeline and learn from my mistakes building streaming pipelines.
How to expose deeply nested SQL fields — and why you need to be careful when handling complex raw data.
How to create and load an aggregate table for your GCP usage using ETL principles and SQL commands.