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Redis Monthly Live: Count-min Sketch to Infinity with Stephen Lorello - Episode 6
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This month Justin Castilla does a little bit of Show-n-tell and Stephen Lorello presents on Probabilistic Data Structures.
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Count-min Sketch to Infinity: Using Probabilistic Data Structures to Solve Counting problems in .NET.
A major problem in computer science is performing element counting, distinct element counts, and presence checks on enormous streams of data, in real-time, at scale, without breaking the bank or over-complicating our apps. In this talk, we'll learn how to address these issues using probabilistic data structures. We'll learn what a probabilistic data structure is, we'll learn about the guts of the Count-Min Sketch, Bloom Filter, and HyperLogLog data structures. And finally, we'll talk about using them in our apps at scale.
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Count-min Sketch to Infinity: Using Probabilistic Data Structures to Solve Counting problems in .NET.
A major problem in computer science is performing element counting, distinct element counts, and presence checks on enormous streams of data, in real-time, at scale, without breaking the bank or over-complicating our apps. In this talk, we'll learn how to address these issues using probabilistic data structures. We'll learn what a probabilistic data structure is, we'll learn about the guts of the Count-Min Sketch, Bloom Filter, and HyperLogLog data structures. And finally, we'll talk about using them in our apps at scale.
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