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Elasticsearch from Scratch Complete Course

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Prepare for your Microsoft examination with our training course. The No_code course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Microsoft certification exam. Pass the Microsoft No_code test with flying colors.
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Curriculum For This Course
  • 1. Introduction to this section 1m 12s
  • 2. Nodes & Clusters 5m 1s
  • 3. Indices & Documents 1m 32s
  • 4. A word on types 1m 21s
  • 5. Sharding 2m 56s
  • 6. Replication 2m 43s
  • 7. Keeping replicas synchronized 2m 34s
  • 8. Searching for data 3m 14s
  • 9. Distributing documents across shards 1m 16s
  • 1. Installing Elasticsearch on Mac/Linux 5m 18s
  • 2. Installing Elasticsearch on Windows 5m 33s
  • 3. Configuring Elasticsearch 3m 41s
  • 4. Installing Kibana on Mac/Linux 2m 49s
  • 5. Installing Kibana on Windows 2m 40s
  • 6. Configuring Kibana 2m 2s
  • 7. Introduction to Kibana and dev tools 6m 34s
  • 1. Creating an index 1m 32s
  • 2. Adding documents 3m 47s
  • 3. Retrieving documents by ID 1m 13s
  • 4. Replacing documents 1m 26s
  • 5. Updating documents 3m 39s
  • 6. Scripted updates 3m 6s
  • 7. Upserts 2m 29s
  • 8. Deleting documents 3m 28s
  • 9. Deleting indices 46s
  • 10. Batch processing 5m 54s
  • 11. Importing test data with cURL 2m 49s
  • 12. Exploring the cluster 6m 50s
  • 1. Introduction to mapping 1m 23s
  • 2. Dynamic mapping 3m 53s
  • 3. Meta fields 2m 47s
  • 4. Field data types 13m 46s
  • 5. Adding mappings to existing indices 1m 55s
  • 6. Changing existing mappings 3m 49s
  • 7. Mapping parameters 7m 57s
  • 8. Adding multi-fields mappings 2m 38s
  • 9. Defining custom date formats 5m 42s
  • 10. Picking up new fields without dynamic mapping 7m 31s
  • 11. Wrap up 37s
  • 1. Introduction to the analysis process 1m 41s
  • 2. A closer look at analyzers 4m 43s
  • 3. Using the Analyze API 3m 28s
  • 4. Understanding the inverted index 4m 31s
  • 5. Overview of character filters 2m 34s
  • 6. Overview of tokenizers 8m 34s
  • 7. Overview of token filters 6m 24s
  • 8. Overview of built-in analyzers 4m 58s
  • 9. Configuring built-in analyzers and token filters 4m 40s
  • 10. Creating custom analyzers 3m 11s
  • 11. Using analyzers in mappings 3m 18s
  • 12. Adding analyzers to existing indices 3m 27s
  • 13. A word on stop words 1m 1s
  • 14. Wrap up 1m 1s
  • 1. Search methods 1m 49s
  • 2. Searching with the request URI 3m 48s
  • 3. Introducing the Query DSL 2m 20s
  • 4. Understanding query results 1m 55s
  • 5. Understanding relevance scores 9m 53s
  • 6. Debugging unexpected search results 1m 41s
  • 7. Query contexts 2m 26s
  • 8. Full text queries vs term level queries 5m 56s
  • 1. Introduction to term level queries 1m 10s
  • 2. Searching for a term 2m 26s
  • 3. Searching for multiple terms 1m 46s
  • 4. Retrieving documents based on IDs 1m 5s
  • 5. Matching documents with range values 3m 44s
  • 6. Working with relative dates (date math) 7m 35s
  • 7. Matching documents with non-null values 1m 57s
  • 8. Matching based on prefixes 1m 17s
  • 9. Searching with wildcards 2m 32s
  • 10. Searching with regular expressions 2m 56s
  • 1. Introduction to full text queries 2m 21s
  • 2. Flexible matching with the match query 4m 43s
  • 3. Matching phrases 1m 36s
  • 4. Searching multiple fields 2m 36s
  • 1. Introduction to compound queries 49s
  • 2. Querying with boolean logic 10m 35s
  • 3. Debugging bool queries with named queries 3m 14s
  • 4. How the “match” query works 6m 25s
  • 1. Introduction to this section 2m 14s
  • 2. Querying nested objects 5m 49s
  • 3. Nested inner hits 3m 57s
  • 4. Mapping document relationships 2m 40s
  • 5. Adding documents 6m 32s
  • 6. Querying by parent ID 2m 49s
  • 7. Querying child documents by parent 5m 12s
  • 8. Querying parent by child documents 5m 53s
  • 9. Multi-level relations 9m 39s
  • 10. Parent/child inner hits 1m 58s
  • 11. Terms lookup mechanism 6m 9s
  • 12. Join limitations 1m 16s
  • 13. Join field performance considerations 3m 57s
  • 1. Specifying the result format 2m 59s
  • 2. Source filtering 4m 23s
  • 3. Specifying the result size 1m 33s
  • 4. Specifying an offset 2m 7s
  • 5. Pagination 5m 4s
  • 6. Sorting results 5m 14s
  • 7. Sorting by multi-value fields 2m 25s
  • 8. Filters 3m 50s
  • 1. Introduction to aggregations 2m 17s
  • 2. Metric aggregations 8m 55s
  • 3. Introduction to bucket aggregations 6m 23s
  • 4. Document counts are approximate 6m 22s
  • 5. Nested aggregations 5m 19s
  • 6. Filtering out documents 2m 29s
  • 7. Defining bucket rules with filters 3m 13s
  • 8. Range aggregations 7m 24s
  • 9. Histograms 7m 15s
  • 10. Global aggregation 2m 57s
  • 11. Missing field values 2m 25s
  • 12. Aggregating nested objects 2m 14s
  • 1. Introduction to this section 27s
  • 2. Proximity searches 7m 15s
  • 3. Affecting relevance scoring with proximity 5m 32s
  • 4. Fuzzy match query (handling typos) 8m 47s
  • 5. Fuzzy query 2m 31s
  • 6. Adding synonyms 12m 8s
  • 7. Adding synonyms from file 5m 38s
  • 8. Highlighting matches in fields 6m 2s
  • 9. Stemming 5m 23s
  • 1. Introducing Application & Client Libraries 6m 40s
  • 2. Adding a simple query 6m 30s
  • 3. Paginating search results 8m 34s
  • 4. Adding fuzziness 4m 48s
  • 5. Aggregations & Filters 17m 36s
  • 6. Adding product details page 3m 41s
  • 1. Last words & summing up 47s
  • 1. Introduction to this course 1m 6s
  • 2. Introduction to Elasticsearch 3m 7s
  • 3. Terminology 8m 16s
  • 4. Installing Elasticsearch 3m 19s
  • 5. Installing Kibana 4m 23s
  • 6. Installing Sense 2m 59s
  • 7. Creating an index 4m 2s
  • 8. Deleting an index 1m 17s
  • 9. Introduction to mapping 5m 1s
  • 10. Field data types 13m 9s
  • 11. Meta fields 6m 15s
  • 12. Adding mappings 4m 13s
  • 13. Adding test data 2m 22s
  • 14. Adding documents 4m 34s
  • 15. Replacing documents 1m 47s
  • 16. Updating documents 2m 5s
  • 17. Deleting documents 1m 13s
  • 18. Batch processing 8m 1s
  • 19. Retrieving document by ID 1m 40s
  • 20. Introduction to searching 7m 15s
  • 21. Searching with query strings: Basics 4m 21s
  • 22. Searching with query strings: Bool query 4m
  • 23. Searching with query strings: Phrase query 3m 20s
  • 24. Searching with query strings: Remarks 1m 17s
  • 25. Searching with Query DSL: Full text queries 5m 26s
  • 26. Searching with Query DSL: Term level queries 7m 1s
  • 27. Searching with Query DSL: Compound queries 7m 39s
  • 28. Searching across indexes and types 8m 20s
  • 29. Fuzzy searches 9m 21s
  • 30. Proximity searches 5m 54s
  • 31. Boosting 4m 27s
  • 32. Filtering results 3m 8s
  • 33. Changing the size of result sets 1m 51s
  • 34. Pagination 3m 31s
  • 35. Sorting results 2m 30s
  • 36. Aggregations 13m 40s

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