Elasticsearch from Scratch Complete Course
What’s included
$14.99 / $24.99
Get ready for your exam by enrolling in our comprehensive training course. This course includes a full set of instructional videos designed to equip you with in-depth knowledge essential for passing the certification exam with flying colors.
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Video Courses
Getting Started
| Lectures | Duration |
|---|---|
| 1. Introduction to Elasticsearch | 5m 33s |
| 2. Overview of the Elastic Stack | 6m 5s |
1. Introduction to Elasticsearch
5m 33s
2. Overview of the Elastic Stack
6m 5s
Architecture of Elasticsearch
| Lectures | Duration |
|---|---|
| 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. 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
Installing Elasticsearch & Kibana
| Lectures | Duration |
|---|---|
| 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. 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
Managing Documents
| Lectures | Duration |
|---|---|
| 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. 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
Mapping
| Lectures | Duration |
|---|---|
| 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 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
Analysis & Analyzers
| Lectures | Duration |
|---|---|
| 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. 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
Introduction to Searching
| Lectures | Duration |
|---|---|
| 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. 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
Term Level Queries
| Lectures | Duration |
|---|---|
| 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 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
Full Text Queries
| Lectures | Duration |
|---|---|
| 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 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
Adding Boolean Logic to Queries
| Lectures | Duration |
|---|---|
| 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 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
Joining Queries
| Lectures | Duration |
|---|---|
| 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. 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
Controlling Query Results
| Lectures | Duration |
|---|---|
| 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. 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
Aggregations
| Lectures | Duration |
|---|---|
| 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 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
Improving Search Results
| Lectures | Duration |
|---|---|
| 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. 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
Building a Web Application Search Engine
| Lectures | Duration |
|---|---|
| 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. 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
Conclusion
| Lectures | Duration |
|---|---|
| 1. Last words & summing up | 47s |
1. Last words & summing up
47s
Legacy Content (version 2.x)
| Lectures | Duration |
|---|---|
| 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 |
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