How I Reduced My Query’s Run Time From 30 Min. To 30 Sec. In 1 Hour
The query optimization steps a senior data engineer took to reduce the process time of a query processing 1 billion+ rows.
The query optimization steps a senior data engineer took to reduce the process time of a query processing 1 billion+ rows.
Beginner-Friendly Python Web Scraping Projects.
LQL, Python and Audit Strategies For Diagnosis & Triage. Part 1: Logging Query Language LQL can be used in the Logs Explorer to fetch real-time data on Google Cloud products like Cloud Functions and Virtual Machines as well as non-GCP resources like resources connected to Amazon Web Services’
1 multistep job search prompt to objectively evaluate your candidacy before you even think about hitting “apply.”
How an easy-to-use logger can format your log data output.
Easily translate your pesky API’s cURL commands to Python.
Breaking down the context behind your SQL queries.
Review this SQL professional’s check-list before running ‘CREATE TABLE.’
Making SQL nested and repeated data types more understandable — and less intimidating.
3 work samples that got my foot in the door, and 1 that almost got me tossed out.
Ideas to help you create projects that will wow future employers.
Tired of manually writing my BigQuery schemas, I wrote a function that makes schema definition less time-consuming.
Overcome SQL’s limitations with these Python methods.
Re-loading missing data will be one of the least glamorous but most important tasks you do as a SQL developer. Get it right.
Use Python to find an apartment on Zillow.
Store data scraped from Zillow in a BigQuery table and view.