Hyper Log Log analytical data processor for LieYing
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Updated
Aug 3, 2017 - Java
Hyper Log Log analytical data processor for LieYing
Count unique line on big file
Small command line utility taking advantage of HyperLogLog to count distinct lines.
Implementation of HyperLogLog algorithms for distinct count estimate
A small tool for comparing HLL/HLL++ implementations
Implementation of HyperLogLog algorithm to count number of unique elements in data stream.
Streaming Count Sketches with HyperLogLog in Amazon MemoryDB for Redis
Implements the Hyper Log Log approximate count-distinct algorithm.
Approximate Privacy-Preserving Neighbourhood Estimations
Estimating cardinality for a data stream using Go and Apache Kafka
Redis is an in-memory data structure project implementing a distributed, in-memory key-value database with optional durability. Redis supports different kinds of abstract data structures, such as strings, lists, maps, sets, sorted sets, HyperLogLogs, bitmaps, streams, and spatial indexes.
This repository contains a collection of three Data Engineering capstone projects made for the DTU Data Engineering course 02807: Computational Tools for Data Science
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Stream Processing Analytics course.
A simple HyperLogLog implementation in rust
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