1 Sheet To Get You Hired Or Promoted This Year
How data engineers can wield the power of the “brag sheet” to achieve career-altering results.
How data engineers can wield the power of the “brag sheet” to achieve career-altering results.
4 unconventional but useful data engineering applications I built that saved me at least 50 hours of work and personal time.
Solve a real-life SQL array problem in an easy-to-follow walkthrough.
1 undervalued data engineering skill that, if left unrefined, could cost you or your org millions of dollars.
4 thankless tasks effective data engineers must do — especially before Q4 and the holiday season.
Building time-sensitive data pipelines is a challenge; luckily, there is a way to build localized pipelines with 3 lines of Python.
Avoid GCP 401 errors — and security concerns — by passing project credentials into your Docker image the right way.
Leverage the Python Google Cloud Storage and BigQuery APIs to bulk download, transform and upload CSV files in < 1 minute.
Either afraid or stuck in old habits, new engineers fail to ask important probing questions; how devs can think critically.
How to use Python to read multi-page PDFs, transform unstructured data and SQL to format the final result in BigQuery.
Set up a virtual environment, install Python & pip and run Python scripts in a Google Cloud Compute Engine virtual machine.
Distinguishing between Google Cloud Platform and a typical API’s authentication process emphasizes the need for secure credential storage.