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Премиум
  1. Урок 1. 00:06:28
    Introduction to the course
  2. Урок 2. 00:06:37
    Introduction to Elasticsearch
  3. Урок 3. 00:17:47
    Overview of the Elastic Stack
  4. Урок 4. 00:10:58
    Walkthrough of common architectures
  5. Урок 5. 00:02:36
    Overview of installation options
  6. Урок 6. 00:05:36
    Running Elasticsearch & Kibana in Elastic Cloud
  7. Урок 7. 00:07:51
    Setting up Elasticsearch & Kibana on macOS & Linux
  8. Урок 8. 00:06:59
    Setting up Elasticsearch & Kibana on Windows
  9. Урок 9. 00:06:58
    Understanding the basic architecture
  10. Урок 10. 00:07:41
    Inspecting the cluster
  11. Урок 11. 00:08:16
    Sending queries with cURL
  12. Урок 12. 00:09:28
    Sharding and scalability
  13. Урок 13. 00:17:41
    Understanding replication
  14. Урок 14. 00:12:22
    Adding more nodes to the cluster
  15. Урок 15. 00:10:00
    Overview of node roles
  16. Урок 16. 00:01:11
    Wrap up
  17. Урок 17. 00:03:09
    Creating & deleting indices
  18. Урок 18. 00:04:07
    Indexing documents
  19. Урок 19. 00:01:21
    Retrieving documents by ID
  20. Урок 20. 00:04:01
    Updating documents
  21. Урок 21. 00:07:45
    Scripted updates
  22. Урок 22. 00:02:31
    Upserts
  23. Урок 23. 00:01:27
    Replacing documents
  24. Урок 24. 00:01:02
    Deleting documents
  25. Урок 25. 00:05:19
    Understanding routing
  26. Урок 26. 00:02:35
    How Elasticsearch reads data
  27. Урок 27. 00:08:04
    How Elasticsearch writes data
  28. Урок 28. 00:03:23
    Understanding document versioning
  29. Урок 29. 00:06:33
    Optimistic concurrency control
  30. Урок 30. 00:08:53
    Update by query
  31. Урок 31. 00:01:53
    Delete by query
  32. Урок 32. 00:13:55
    Batch processing
  33. Урок 33. 00:07:15
    Importing data with cURL
  34. Урок 34. 00:00:53
    Wrap up
  35. Урок 35. 00:00:43
    Introduction to this section
  36. Урок 36. 00:05:31
    Introduction to analysis
  37. Урок 37. 00:05:13
    Using the Analyze API
  38. Урок 38. 00:06:41
    Understanding inverted indices
  39. Урок 39. 00:02:09
    Introduction to mapping
  40. Урок 40. 00:08:36
    Overview of data types
  41. Урок 41. 00:04:09
    How the "keyword" data type works
  42. Урок 42. 00:06:00
    Understanding type coercion
  43. Урок 43. 00:05:05
    Understanding arrays
  44. Урок 44. 00:05:33
    Adding explicit mappings
  45. Урок 45. 00:01:36
    Retrieving mappings
  46. Урок 46. 00:01:50
    Using dot notation in field names
  47. Урок 47. 00:01:53
    Adding mappings to existing indices
  48. Урок 48. 00:06:06
    How dates work in Elasticsearch
  49. Урок 49. 00:01:45
    How missing fields are handled
  50. Урок 50. 00:14:36
    Overview of mapping parameters
  51. Урок 51. 00:04:22
    Updating existing mappings
  52. Урок 52. 00:12:47
    Reindexing documents with the Reindex API
  53. Урок 53. 00:03:32
    Defining field aliases
  54. Урок 54. 00:06:35
    Multi-field mappings
  55. Урок 55. 00:07:51
    Index templates
  56. Урок 56. 00:05:31
    Introduction to the Elastic Common Schema (ECS)
  57. Урок 57. 00:09:03
    Introduction to dynamic mapping
  58. Урок 58. 00:01:35
    Combining explicit and dynamic mapping
  59. Урок 59. 00:08:03
    Configuring dynamic mapping
  60. Урок 60. 00:13:23
    Dynamic templates
  61. Урок 61. 00:05:16
    Mapping recommendations
  62. Урок 62. 00:04:09
    Stemming & stop words
  63. Урок 63. 00:04:23
    Analyzers and search queries
  64. Урок 64. 00:07:39
    Built-in analyzers
  65. Урок 65. 00:10:01
    Creating custom analyzers
  66. Урок 66. 00:06:12
    Adding analyzers to existing indices
  67. Урок 67. 00:07:09
    Updating analyzers
  68. Урок 68. 00:00:29
    Wrap up
  69. Урок 69. 00:02:18
    Search methods
  70. Урок 70. 00:03:51
    Searching with the request URI
  71. Урок 71. 00:02:51
    Introducing the Query DSL
  72. Урок 72. 00:03:43
    How searching works
  73. Урок 73. 00:01:58
    Understanding query results
  74. Урок 74. 00:10:31
    Understanding relevance scores
  75. Урок 75. 00:01:44
    Debugging unexpected search results
  76. Урок 76. 00:02:42
    Query contexts
  77. Урок 77. 00:05:59
    Full text queries vs term level queries
  78. Урок 78. 00:01:11
    Introduction to term level queries
  79. Урок 79. 00:02:29
    Searching for a term
  80. Урок 80. 00:01:49
    Searching for multiple terms
  81. Урок 81. 00:01:08
    Retrieving documents based on IDs
  82. Урок 82. 00:03:47
    Matching documents with range values
  83. Урок 83. 00:07:38
    Working with relative dates (date math)
  84. Урок 84. 00:02:01
    Matching documents with non-null values
  85. Урок 85. 00:01:20
    Matching based on prefixes
  86. Урок 86. 00:02:35
    Searching with wildcards
  87. Урок 87. 00:03:04
    Searching with regular expressions
  88. Урок 88. 00:02:24
    Introduction to full text queries
  89. Урок 89. 00:04:46
    Flexible matching with the match query
  90. Урок 90. 00:01:39
    Matching phrases
  91. Урок 91. 00:02:39
    Searching multiple fields
  92. Урок 92. 00:01:10
    Introduction to compound queries
  93. Урок 93. 00:10:38
    Querying with boolean logic
  94. Урок 94. 00:03:18
    Debugging bool queries with named queries
  95. Урок 95. 00:06:24
    How the “match” query works
  96. Урок 96. 00:02:44
    Introduction to this section
  97. Урок 97. 00:05:52
    Querying nested objects
  98. Урок 98. 00:04:00
    Nested inner hits
  99. Урок 99. 00:02:43
    Mapping document relationships
  100. Урок 100. 00:06:36
    Adding documents
  101. Урок 101. 00:02:53
    Querying by parent ID
  102. Урок 102. 00:05:15
    Querying child documents by parent
  103. Урок 103. 00:05:56
    Querying parent by child documents
  104. Урок 104. 00:09:43
    Multi-level relations
  105. Урок 105. 00:02:02
    Parent/child inner hits
  106. Урок 106. 00:06:12
    Terms lookup mechanism
  107. Урок 107. 00:01:43
    Join limitations
  108. Урок 108. 00:04:21
    Join field performance considerations
  109. Урок 109. 00:03:02
    Specifying the result format
  110. Урок 110. 00:04:27
    Source filtering
  111. Урок 111. 00:01:37
    Specifying the result size
  112. Урок 112. 00:02:10
    Specifying an offset
  113. Урок 113. 00:05:05
    Pagination
  114. Урок 114. 00:05:17
    Sorting results
  115. Урок 115. 00:02:29
    Sorting by multi-value fields
  116. Урок 116. 00:03:53
    Filters
  117. Урок 117. 00:02:44
    Introduction to aggregations
  118. Урок 118. 00:09:42
    Metric aggregations
  119. Урок 119. 00:06:26
    Introduction to bucket aggregations
  120. Урок 120. 00:06:23
    Document counts are approximate
  121. Урок 121. 00:05:59
    Nested aggregations
  122. Урок 122. 00:02:32
    Filtering out documents
  123. Урок 123. 00:03:17
    Defining bucket rules with filters
  124. Урок 124. 00:07:55
    Range aggregations
  125. Урок 125. 00:08:02
    Histograms
  126. Урок 126. 00:03:00
    Global aggregation
  127. Урок 127. 00:02:28
    Missing field values
  128. Урок 128. 00:02:17
    Aggregating nested objects
  129. Урок 129. 00:00:28
    Introduction to this section
  130. Урок 130. 00:07:18
    Proximity searches
  131. Урок 131. 00:05:35
    Affecting relevance scoring with proximity
  132. Урок 132. 00:09:07
    Fuzzy match query (handling typos)
  133. Урок 133. 00:02:34
    Fuzzy query
  134. Урок 134. 00:12:12
    Adding synonyms
  135. Урок 135. 00:05:41
    Adding synonyms from file
  136. Урок 136. 00:06:06
    Highlighting matches in fields
  137. Урок 137. 00:05:27
    Stemming