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HyperLogLog Cardinality for Real-Time Ad-Auction Analytics

FreeVerified credential4 weeksExpert

Overview

What this challenge is about.

HyperLogLog Cardinality for Real-Time Ad-Auction Analytics. Expert-level challenge in code. Writing production code that solves real engineering problems, ea...

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Replace exact-cardinality user-counting at 1.2M events/sec with HyperLogLog sketches at under 2 percent relative error and at most 64KB per (campaign, hour) bucket.

This is not a coding exercise. It is the work a software engineer does between a Jira ticket and a merged PR. That distinction matters to every hiring manager who has seen candidates solve LeetCode problems and none who have shipped production code under real constraints.

When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."

Earning criteria — what you'll demonstrate

  • Implement HyperLogLog including bias correction for low cardinalities
  • Compute and verify the standard relative error of 1.04 / sqrt(2^p)
  • Design a merge operation for distributed cardinality across time buckets
  • Trade memory vs error in a real streaming pipeline

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Randomized Algorithms

Master · Algorithms

Strong alignment

This challenge maps to Randomized Algorithms at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

One more thing

You can put a credential on your CV by Friday.