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1
Intro
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Title
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The Problem
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Crosssite Scripting
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Coinhive
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Magecart
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Content Security Policy
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JavaScript
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Content Security
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Report Uri
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CSP Reports
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How can we do this
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Bloom Filters
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Inserting Items
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Probabilities
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Bloom Filter Width
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Bloom Filters Online
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Akamai Case Study
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Google Safe Browsing
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Medium
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Counting
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Sketch
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TopK
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Hyperlog Log
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QA Session
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the challenges of processing massive data volumes in this NDC Oslo 2021 conference talk. Dive into Report URI's infrastructure and learn how Bloom Filters, an often-overlooked data structure, enable handling immense amounts of data with exceptional speed and space efficiency. Discover techniques for processing up to 65,000 JSON payloads per second containing global client telemetry. Gain insights into cross-site scripting, Coinhive, Magecart, Content Security Policy, and CSP reports. Understand the implementation of Bloom Filters, including insertion methods, probabilities, and width considerations. Examine real-world applications through case studies from Akamai and Google Safe Browsing. Explore additional data structures like Count-Min Sketch, Top-K, and HyperLogLog for big data analysis.

Hyper Speed - When Big Data Blooms

NDC Conferences
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