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.
1 multistep job search prompt to objectively evaluate your candidacy before you even think about hitting “apply.”
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.
Why matching row counts are the “silent killer” of data integrity.
Prioritizing clearer visualizations with a project that delivers a very personal, very real ROI.
Highlighting a GitHub repo that might lead to your next remote data science opportunity — no matter where you live.
Optimize your GitHub portfolio to increase discoverability and discover the new tool to push your repo to the masses.
Creating real-time email alerts in Python with the Reddit and Gmail APIs.