Data engineering salon. News and interesting reads about the world of data.
S3’s margin is R2’s opportunity.
It's not their fault, they were told this was easy.
A survey of how tech projects run across the industry highlights Scrum being absent from Big Tech. Why is this, and are there takeaways others should take note of?
Rather than needing to be an impossible combination of statistician, developer, and business expert, analysts can simply be great critical thinkers.
Kafka’s challenges have exhausted many an engineer on the path to successful data streaming. What if there was an easier way?
“To successfully use Flink in production you must invest serious resources … estimate more than 18 months.”
Having robust data pipelines and high-quality data labels also suggests you’re ready for machine learning.
Once, on a crisp cloudless morning in early fall, a machine learning engineer left her home to seek the answers that she could not find, even in the newly-optimized Google results.