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Algorithms and Data Structures for Massive Datasets
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Algorithms and Data Structures for Massive Datasets
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收录时间:
2024-04-04
最近下载:
2024-11-08
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文件列表
029. Chapter 6. Streaming data Bringing everything together.mp4
46.8 MB
035. Chapter 7. Sampling from data streams.mp4
44.9 MB
047. Chapter 8. Quantile queries with q-digests.mp4
42.4 MB
038. Chapter 7. Sampling from a sliding window.mp4
40.7 MB
037. Chapter 7. Biased reservoir sampling.mp4
39.5 MB
008. Chapter 2. Usage scenarios in modern systems.mp4
38.4 MB
049. Chapter 9. Introducing the external memory model.mp4
38.4 MB
007. Chapter 2. Review of hash tables and modern hashing.mp4
37.4 MB
022. Chapter 4. Range queries with count-min sketch.mp4
37.0 MB
020. Chapter 4. Update.mp4
36.1 MB
034. Chapter 6. Biased sampling strategy.mp4
34.0 MB
019. Chapter 4. Frequency estimation and count-min sketch.mp4
33.0 MB
060. Chapter 10. Lookups.mp4
32.8 MB
009. Chapter 2. Collision resolution Theory vs. practice.mp4
32.6 MB
036. Chapter 7. Reservoir sampling.mp4
32.3 MB
061. Chapter 10. Log-structured merge-trees (LSM-trees).mp4
32.1 MB
012. Chapter 3. Approximate membership Bloom and quotient filters.mp4
32.0 MB
046. Chapter 8. Q-digest.mp4
31.9 MB
052. Chapter 9. Optimal searching.mp4
31.9 MB
041. Chapter 8. Approximate quantiles on data streams.mp4
31.6 MB
045. Chapter 8. Merging t-digests.mp4
30.8 MB
067. Chapter 11. Finding good enough pivots.mp4
30.6 MB
057. Chapter 10. Delete.mp4
30.5 MB
024. Chapter 5. HyperLogLog incremental design.mp4
30.1 MB
032. Chapter 6. Practical constraints and concepts in data streams.mp4
29.6 MB
031. Chapter 6. Deduplication.mp4
29.4 MB
040. Chapter 7. Sampling algorithms comparison.mp4
28.7 MB
011. Chapter 2. Adding a new noderesource.mp4
28.2 MB
001. Chapter 1. Introduction.mp4
28.1 MB
055. Chapter 10. Data structures in this chapter.mp4
27.6 MB
027. Chapter 5. The effect of the number of buckets (m).mp4
26.5 MB
004. Chapter 1. The structure of this book.mp4
26.4 MB
033. Chapter 6. Math bit Sampling and estimation.mp4
25.9 MB
025. Chapter 5. LogLog.mp4
25.9 MB
013. Chapter 3. A simple implementation.mp4
25.4 MB
039. Chapter 7. Priority sampling.mp4
25.2 MB
065. Chapter 11. External memory merge-sort (MB-way merge-sort).mp4
25.1 MB
059. Chapter 10. Bε-trees.mp4
24.9 MB
015. Chapter 3. Bloom filter adaptations and alternatives.mp4
24.7 MB
030. Chapter 6. Streaming data system A meta example.mp4
24.7 MB
016. Chapter 3. Understanding metadata bits.mp4
24.5 MB
023. Chapter 5. Cardinality estimation and HyperLogLog.mp4
24.3 MB
058. Chapter 10. Math bit Why are B-tree lookups optimal in external memory.mp4
23.5 MB
044. Chapter 8. Scale functions.mp4
23.3 MB
042. Chapter 8. Approximate quantiles.mp4
23.3 MB
066. Chapter 11. What about external quick-sort.mp4
23.2 MB
063. Chapter 11. External memory sorting.mp4
22.5 MB
003. Chapter 1. How to solve it, take two A book walkthrough.mp4
22.5 MB
005. Chapter 1. Latency vs. bandwidth.mp4
22.2 MB
054. Chapter 10. Data structures for databases B-trees, Bε-trees, and LSM-trees.mp4
22.1 MB
017. Chapter 3. Python code for lookup.mp4
21.9 MB
051. Chapter 9. Example 2 Binary search.mp4
21.6 MB
010. Chapter 2. Hash tables for distributed systems Consistent hashing.mp4
21.5 MB
056. Chapter 10. B-tree balancing.mp4
21.3 MB
050. Chapter 9. Example 1 Finding a minimum.mp4
21.1 MB
018. Chapter 3. Comparison between Bloom filters and quotient filters.mp4
20.6 MB
062. Chapter 10. LSM-tree cost analysis.mp4
20.2 MB
021. Chapter 4. Error vs. space in count-min sketch.mp4
20.2 MB
043. Chapter 8. T-digest How it works.mp4
19.4 MB
026. Chapter 5. Use case Catching worms with HLL.mp4
19.3 MB
014. Chapter 3. A bit of theory.mp4
18.1 MB
064. Chapter 11. Challenges of sorting in external memory An example.mp4
17.9 MB
002. Chapter 1. An example How to solve it.mp4
17.4 MB
053. Chapter 9. External memory model Simple or simplistic.mp4
17.3 MB
006. Part 1. Hash-based sketches.mp4
6.6 MB
048. Part 3. Data structures for databases and external memory algorithms.mp4
6.1 MB
028. Part 2. Real-time analytics.mp4
5.7 MB
Algorithms-and-Data-Structures-for-Massive-Datasets-Video-Edition.jpg
40.4 kB
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