Elasticsearch from Scratch Complete Course Certification Video Training Course
The complete solution to prepare for for your exam with Elasticsearch from Scratch Complete Course certification video training course. The Elasticsearch from Scratch Complete Course certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Software Engineering Courses Elasticsearch from Scratch Complete Course exam dumps, study guide & practice test questions and answers.
Elasticsearch from Scratch Complete Course Certification Video Training Course Exam Curriculum
Getting Started
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1. Introduction to Elasticsearch05:33
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2. Overview of the Elastic Stack06:05
Architecture of Elasticsearch
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1. Introduction to this section01:12
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2. Nodes & Clusters05:01
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3. Indices & Documents01:32
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4. A word on types01:21
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5. Sharding02:56
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6. Replication02:43
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7. Keeping replicas synchronized02:34
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8. Searching for data03:14
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9. Distributing documents across shards01:16
Installing Elasticsearch & Kibana
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1. Installing Elasticsearch on Mac/Linux05:18
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2. Installing Elasticsearch on Windows05:33
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3. Configuring Elasticsearch03:41
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4. Installing Kibana on Mac/Linux02:49
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5. Installing Kibana on Windows02:40
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6. Configuring Kibana02:02
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7. Introduction to Kibana and dev tools06:34
Managing Documents
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1. Creating an index01:32
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2. Adding documents03:47
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3. Retrieving documents by ID01:13
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4. Replacing documents01:26
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5. Updating documents03:39
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6. Scripted updates03:06
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7. Upserts02:29
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8. Deleting documents03:28
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9. Deleting indices00:46
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10. Batch processing05:54
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11. Importing test data with cURL02:49
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12. Exploring the cluster06:50
Mapping
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1. Introduction to mapping01:23
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2. Dynamic mapping03:53
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3. Meta fields02:47
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4. Field data types13:46
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5. Adding mappings to existing indices01:55
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6. Changing existing mappings03:49
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7. Mapping parameters07:57
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8. Adding multi-fields mappings02:38
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9. Defining custom date formats05:42
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10. Picking up new fields without dynamic mapping07:31
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11. Wrap up00:37
Analysis & Analyzers
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1. Introduction to the analysis process01:41
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2. A closer look at analyzers04:43
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3. Using the Analyze API03:28
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4. Understanding the inverted index04:31
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5. Overview of character filters02:34
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6. Overview of tokenizers08:34
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7. Overview of token filters06:24
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8. Overview of built-in analyzers04:58
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9. Configuring built-in analyzers and token filters04:40
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10. Creating custom analyzers03:11
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11. Using analyzers in mappings03:18
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12. Adding analyzers to existing indices03:27
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13. A word on stop words01:01
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14. Wrap up01:01
Introduction to Searching
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1. Search methods01:49
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2. Searching with the request URI03:48
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3. Introducing the Query DSL02:20
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4. Understanding query results01:55
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5. Understanding relevance scores09:53
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6. Debugging unexpected search results01:41
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7. Query contexts02:26
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8. Full text queries vs term level queries05:56
Term Level Queries
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1. Introduction to term level queries01:10
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2. Searching for a term02:26
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3. Searching for multiple terms01:46
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4. Retrieving documents based on IDs01:05
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5. Matching documents with range values03:44
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6. Working with relative dates (date math)07:35
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7. Matching documents with non-null values01:57
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8. Matching based on prefixes01:17
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9. Searching with wildcards02:32
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10. Searching with regular expressions02:56
Full Text Queries
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1. Introduction to full text queries02:21
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2. Flexible matching with the match query04:43
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3. Matching phrases01:36
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4. Searching multiple fields02:36
Adding Boolean Logic to Queries
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1. Introduction to compound queries00:49
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2. Querying with boolean logic10:35
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3. Debugging bool queries with named queries03:14
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4. How the “match” query works06:25
Joining Queries
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1. Introduction to this section02:14
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2. Querying nested objects05:49
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3. Nested inner hits03:57
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4. Mapping document relationships02:40
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5. Adding documents06:32
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6. Querying by parent ID02:49
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7. Querying child documents by parent05:12
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8. Querying parent by child documents05:53
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9. Multi-level relations09:39
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10. Parent/child inner hits01:58
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11. Terms lookup mechanism06:09
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12. Join limitations01:16
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13. Join field performance considerations03:57
Controlling Query Results
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1. Specifying the result format02:59
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2. Source filtering04:23
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3. Specifying the result size01:33
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4. Specifying an offset02:07
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5. Pagination05:04
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6. Sorting results05:14
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7. Sorting by multi-value fields02:25
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8. Filters03:50
Aggregations
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1. Introduction to aggregations02:17
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2. Metric aggregations08:55
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3. Introduction to bucket aggregations06:23
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4. Document counts are approximate06:22
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5. Nested aggregations05:19
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6. Filtering out documents02:29
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7. Defining bucket rules with filters03:13
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8. Range aggregations07:24
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9. Histograms07:15
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10. Global aggregation02:57
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11. Missing field values02:25
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12. Aggregating nested objects02:14
Improving Search Results
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1. Introduction to this section00:27
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2. Proximity searches07:15
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3. Affecting relevance scoring with proximity05:32
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4. Fuzzy match query (handling typos)08:47
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5. Fuzzy query02:31
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6. Adding synonyms12:08
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7. Adding synonyms from file05:38
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8. Highlighting matches in fields06:02
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9. Stemming05:23
Building a Web Application Search Engine
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1. Introducing Application & Client Libraries06:40
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2. Adding a simple query06:30
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3. Paginating search results08:34
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4. Adding fuzziness04:48
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5. Aggregations & Filters17:36
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6. Adding product details page03:41
Conclusion
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1. Last words & summing up00:47
Legacy Content (version 2.x)
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1. Introduction to this course01:06
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2. Introduction to Elasticsearch03:07
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3. Terminology08:16
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4. Installing Elasticsearch03:19
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5. Installing Kibana04:23
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6. Installing Sense02:59
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7. Creating an index04:02
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8. Deleting an index01:17
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9. Introduction to mapping05:01
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10. Field data types13:09
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11. Meta fields06:15
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12. Adding mappings04:13
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13. Adding test data02:22
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14. Adding documents04:34
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15. Replacing documents01:47
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16. Updating documents02:05
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17. Deleting documents01:13
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18. Batch processing08:01
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19. Retrieving document by ID01:40
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20. Introduction to searching07:15
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21. Searching with query strings: Basics04:21
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22. Searching with query strings: Bool query04:00
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23. Searching with query strings: Phrase query03:20
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24. Searching with query strings: Remarks01:17
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25. Searching with Query DSL: Full text queries05:26
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26. Searching with Query DSL: Term level queries07:01
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27. Searching with Query DSL: Compound queries07:39
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28. Searching across indexes and types08:20
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29. Fuzzy searches09:21
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30. Proximity searches05:54
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31. Boosting04:27
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32. Filtering results03:08
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33. Changing the size of result sets01:51
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34. Pagination03:31
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35. Sorting results02:30
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36. Aggregations13:40
About Elasticsearch from Scratch Complete Course Certification Video Training Course
Elasticsearch from Scratch Complete Course certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.
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