I Lost 3 Days Of Data By Not Taking 10 Min. For These Deprecation Steps
How data engineers can anticipate, adapt to and recover from inevitable data downtimes and API outages.
How data engineers can anticipate, adapt to and recover from inevitable data downtimes and API outages.
The 35 line SQL Query That Powers A Top 3 SQL Publication’s Analytics (Part II).
Neatly package and securely store Python packages in Python repo with Google Cloud’s Artifact Registry for your cloud builds.
Learn BigQuery SQL techniques to extract only the most relevant elements of your ugliest URLs.
A simple spreadsheet for data science job seekers to leverage your existing network to optimize your job search.
Never manually delete emails again with this script integrating Python and Google Cloud Platform’s Gmail API.
Avoid the dreaded problems of data downtime and duplication by using simple SQL queries to establish data availability.
SQL WHERE clauses don’t just need to filter on one row of data; walk through a complex SQL problem step-by-step.
Reduce failed API requests by taking the time to “listen” to your API responses and — other pointers to improve your API conversation…
In less than 10 minutes create a Looker header that dynamically displays attributes — like the current month — for your users.
Creating a data engineering pipeline using Python, SQL and Google Cloud in less than 2 hours.
Even if you’re choosing the correct SQL JOIN, you could still make a tiny mistake that could cost you — or your org — big time.