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Algorithms and Data Structures for Massive Datasets

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Algorithms and Data Structures for Massive Datasets

文件列表
  1. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/029. Chapter 6. Streaming data Bringing everything together.mp444.66MB
  2. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/035. Chapter 7. Sampling from data streams.mp442.81MB
  3. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/047. Chapter 8. Quantile queries with q-digests.mp440.41MB
  4. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/038. Chapter 7. Sampling from a sliding window.mp438.79MB
  5. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/037. Chapter 7. Biased reservoir sampling.mp437.65MB
  6. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/008. Chapter 2. Usage scenarios in modern systems.mp436.61MB
  7. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/049. Chapter 9. Introducing the external memory model.mp436.6MB
  8. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/007. Chapter 2. Review of hash tables and modern hashing.mp435.7MB
  9. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/022. Chapter 4. Range queries with count-min sketch.mp435.26MB
  10. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/020. Chapter 4. Update.mp434.4MB
  11. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/034. Chapter 6. Biased sampling strategy.mp432.39MB
  12. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/019. Chapter 4. Frequency estimation and count-min sketch.mp431.5MB
  13. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/060. Chapter 10. Lookups.mp431.33MB
  14. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/009. Chapter 2. Collision resolution Theory vs. practice.mp431.13MB
  15. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/036. Chapter 7. Reservoir sampling.mp430.85MB
  16. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/061. Chapter 10. Log-structured merge-trees (LSM-trees).mp430.6MB
  17. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/012. Chapter 3. Approximate membership Bloom and quotient filters.mp430.55MB
  18. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/046. Chapter 8. Q-digest.mp430.45MB
  19. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/052. Chapter 9. Optimal searching.mp430.43MB
  20. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/041. Chapter 8. Approximate quantiles on data streams.mp430.16MB
  21. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/045. Chapter 8. Merging t-digests.mp429.34MB
  22. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/067. Chapter 11. Finding good enough pivots.mp429.2MB
  23. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/057. Chapter 10. Delete.mp429.05MB
  24. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/024. Chapter 5. HyperLogLog incremental design.mp428.71MB
  25. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/032. Chapter 6. Practical constraints and concepts in data streams.mp428.19MB
  26. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/031. Chapter 6. Deduplication.mp428.03MB
  27. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/040. Chapter 7. Sampling algorithms comparison.mp427.34MB
  28. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/011. Chapter 2. Adding a new noderesource.mp426.89MB
  29. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/001. Chapter 1. Introduction.mp426.79MB
  30. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/055. Chapter 10. Data structures in this chapter.mp426.33MB
  31. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/027. Chapter 5. The effect of the number of buckets (m).mp425.23MB
  32. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/004. Chapter 1. The structure of this book.mp425.15MB
  33. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/033. Chapter 6. Math bit Sampling and estimation.mp424.69MB
  34. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/025. Chapter 5. LogLog.mp424.68MB
  35. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/013. Chapter 3. A simple implementation.mp424.2MB
  36. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/039. Chapter 7. Priority sampling.mp424.02MB
  37. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/065. Chapter 11. External memory merge-sort (MB-way merge-sort).mp423.89MB
  38. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/059. Chapter 10. Bε-trees.mp423.71MB
  39. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/015. Chapter 3. Bloom filter adaptations and alternatives.mp423.54MB
  40. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/030. Chapter 6. Streaming data system A meta example.mp423.54MB
  41. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/016. Chapter 3. Understanding metadata bits.mp423.32MB
  42. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/023. Chapter 5. Cardinality estimation and HyperLogLog.mp423.14MB
  43. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/058. Chapter 10. Math bit Why are B-tree lookups optimal in external memory.mp422.46MB
  44. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/044. Chapter 8. Scale functions.mp422.26MB
  45. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/042. Chapter 8. Approximate quantiles.mp422.21MB
  46. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/066. Chapter 11. What about external quick-sort.mp422.11MB
  47. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/063. Chapter 11. External memory sorting.mp421.47MB
  48. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/003. Chapter 1. How to solve it, take two A book walkthrough.mp421.42MB
  49. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/005. Chapter 1. Latency vs. bandwidth.mp421.18MB
  50. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/054. Chapter 10. Data structures for databases B-trees, Bε-trees, and LSM-trees.mp421.03MB
  51. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/017. Chapter 3. Python code for lookup.mp420.93MB
  52. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/051. Chapter 9. Example 2 Binary search.mp420.58MB
  53. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/010. Chapter 2. Hash tables for distributed systems Consistent hashing.mp420.5MB
  54. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/056. Chapter 10. B-tree balancing.mp420.34MB
  55. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/050. Chapter 9. Example 1 Finding a minimum.mp420.1MB
  56. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/018. Chapter 3. Comparison between Bloom filters and quotient filters.mp419.65MB
  57. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/062. Chapter 10. LSM-tree cost analysis.mp419.25MB
  58. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/021. Chapter 4. Error vs. space in count-min sketch.mp419.24MB
  59. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/043. Chapter 8. T-digest How it works.mp418.48MB
  60. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/026. Chapter 5. Use case Catching worms with HLL.mp418.39MB
  61. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/014. Chapter 3. A bit of theory.mp417.28MB
  62. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/064. Chapter 11. Challenges of sorting in external memory An example.mp417.03MB
  63. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/002. Chapter 1. An example How to solve it.mp416.57MB
  64. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/053. Chapter 9. External memory model Simple or simplistic.mp416.45MB
  65. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/006. Part 1. Hash-based sketches.mp46.34MB
  66. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/048. Part 3. Data structures for databases and external memory algorithms.mp45.86MB
  67. [TutsNode.net] - Algorithms and Data Structures for Massive Datasets/028. Part 2. Real-time analytics.mp45.47MB
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