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HyperLogLog Cardinality for Real-Time Ad-Auction Analytics

FreeVerified credential4 weeksExpert

Overview

What this challenge is about.

Implement HyperLogLog in Java, benchmark precision vs memory on billions of ad-bid events, and deliver a Redis migration plan. Earn a verifiable certificate.

The scenario

The DSP (around USD 95M revenue, IAB OpenRTB integration) sells real-time reach reporting as a premium feature — losing it would cost roughly 12 percent of pipeline.

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.

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.