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.
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.”
Highlighting a GitHub repo that might lead to your next remote data science opportunity — no matter where you live.
Overcome SQL’s limitations with these Python methods.
3 work samples that got my foot in the door, and 1 that almost got me tossed out.
Actionable frameworks, blueprints, and deep dives for data professionals scaling their infrastructure skills and transitioning into data engineering.
Leverage a subtle bash framework to execute data pipelines in the background, saving time for mission-critical tasks.
One function you gloss over has the power to save you hours of development time — and preserve data accuracy.
Proactive strategies covering how not to annoy your senior data scientists, engineers or developers from a senior’s perspective.
Never write another schema, save on storage costs and more.