Probabilistic Data Structures Courses and Certifications

GeeCON Conference

Understanding Probabilistic Data Structures with UFO Sightings

Explore probabilistic data structures through UFO sightings analysis. Learn about Bloom Filters, MinHash, and Top-K, and their applications in processing large datasets efficiently.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Devoxx Poland

Understanding Probabilistic Data Structures with 112,092 UFO

Explore probabilistic data structures through 112,092 UFO sightings, learning efficient algorithms for handling massive datasets with memory-optimized techniques.

• YouTube
• 52 minutes
• On-Demand
• Free Video

NDC Conferences

Understanding Probabilistic Data Structures with UFO Sightings

Explore probabilistic data structures using UFO sighting data. Learn about Bloom Filters, MinHash, and Top-K, and discover how these structures can efficiently process large datasets with trade-offs in precision.

• YouTube
• 55 minutes
• On-Demand
• Conference Talk

NDC Conferences

Understanding Probabilistic Data Structures with UFO Sightings

Explore probabilistic data structures using UFO sighting data. Learn about Bloom Filters, MinHash, and Top-K, and discover how these structures can efficiently process large datasets with a balance of speed and accuracy.

• YouTube
• 59 minutes
• On-Demand
• Conference Talk

PyCon US

No, Maybe and Close Enough - Using Probabilistic Data Structures in Python

Explore probabilistic data structures in Python for efficient counting and item recognition, focusing on Hyperloglog and Bloom Filter algorithms for fast, scalable solutions.

• YouTube
• 26 minutes
• On-Demand
• Conference Talk

NDC Conferences

Count-min Sketch to Infinity - Using Probabilistic Data Structures to Solve Counting Problems in .NET

Explore probabilistic data structures like Count-Min Sketch, Bloom Filter, and HyperLogLog to efficiently solve counting problems in large-scale .NET applications.

• YouTube
• 1 hour
• On-Demand
• Conference Talk

Devoxx

Understanding Probabilistic Data Structures with UFO Sightings

Explore probabilistic data structures using UFO sighting data, learning efficient techniques for handling large datasets and extracting meaningful insights from seemingly random information.

• YouTube
• 46 minutes
• On-Demand
• Conference Talk

Devoxx

Probabilistic Data Structures

Explore efficient handling of large datasets using probabilistic data structures. Learn about their use cases, trade-offs, and implementation for improved performance and memory management.

• YouTube
• 48 minutes
• On-Demand
• Conference Talk

Spring I/O

Bootiful Multi-Model Applications with Redis Stack

Explore building Spring Boot applications with Redis Stack, leveraging multiple data models and functionalities including document store, graph database, time series, and full-text search.

• YouTube
• 56 minutes
• On-Demand
• Conference Talk

NDC Conferences

Hyper Speed! When Big Data Blooms

Explore high-speed data processing using Bloom Filters, a powerful probabilistic data structure. Learn to handle massive data volumes efficiently, with real-world examples and advanced techniques.

• YouTube
• 48 minutes
• On-Demand
• Conference Talk

NDC Conferences

Hyper Speed - When Big Data Blooms

Explore high-speed data processing techniques, including Bloom Filters, to handle massive volumes of telemetry data efficiently. Learn infrastructure strategies for processing 65,000 JSON payloads per second.

• YouTube
• 1 hour
• On-Demand
• Conference Talk

Devoxx

Bootiful Multi Model Applications with Redis Stack

Explore building Spring Boot applications with Redis Stack, leveraging multiple data models and functionalities like document store, graph database, and full-text search through Redis OM Spring.

• YouTube
• 51 minutes
• On-Demand
• Conference Talk

Simons Institute

New Upper and Lower Bounds on Approximate Counting

Explores new upper and lower bounds for approximate counting, addressing amortized space complexity and memory optimization in maintaining arrays of approximate counters.

• YouTube
• 48 minutes
• On-Demand
• Free Video

UofU Data Science

Streaming Distinct Item Counting and Mergeable Summaries - HyperLogLog and Bloom Filters - L14

Discover advanced streaming algorithms including HyperLogLog for distinct item counting, Bloom filters, and mergeable data summaries for large-scale data processing.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

UofU Data Science

Data Mining: Count-Min Sketch and Count Sketch Algorithms - Spring 2023

Dive into advanced data mining techniques, focusing on Count-Min Sketch algorithms, space optimization, and comparative analysis with Misra-Gries method for efficient data processing.

• YouTube
• 54 minutes
• On-Demand
• Free Video