Course name Software Engineering Courses Elasticsearch from Scratch Complete Course: Elasticsearch from Scratch Complete Course
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Elasticsearch from Scratch Complete Course Video Course
![Elasticsearch from Scratch Complete Course Video Course](/design/images/excomplete.png)
Elasticsearch from Scratch Complete Course Video Course is developed by Software Engineering Courses Professionals to help you pass the Elasticsearch from Scratch Complete Course exam.
You Will Learn:
Description
This course will improve your knowledge and skills required to pass Elasticsearch from Scratch Complete Course exam.
Curriculum For This Course
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1. Getting Started 2 Videos 00:24:22
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Introduction to Elasticsearch 05:33
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Overview of the Elastic Stack 06:05
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2. Architecture of Elasticsearch 9 Videos 00:28:52
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Introduction to this section 01:12
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Nodes & Clusters 05:01
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Indices & Documents 01:32
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A word on types 01:21
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Sharding 02:56
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Replication 02:43
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Keeping replicas synchronized 02:34
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Searching for data 03:14
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Distributing documents across shards 01:16
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3. Installing Elasticsearch & Kibana 7 Videos 00:28:53
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Installing Elasticsearch on Mac/Linux 05:18
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Installing Elasticsearch on Windows 05:33
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Configuring Elasticsearch 03:41
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Installing Kibana on Mac/Linux 02:49
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Installing Kibana on Windows 02:40
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Configuring Kibana 02:02
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Introduction to Kibana and dev tools 06:34
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4. Managing Documents 12 Videos 00:37:28
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Creating an index 01:32
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Adding documents 03:47
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Retrieving documents by ID 01:13
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Replacing documents 01:26
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Updating documents 03:39
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Scripted updates 03:06
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Upserts 02:29
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Deleting documents 03:28
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Deleting indices 00:46
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Batch processing 05:54
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Importing test data with cURL 02:49
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Exploring the cluster 06:50
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5. Mapping 11 Videos 00:52:50
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Introduction to mapping 01:23
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Dynamic mapping 03:53
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Meta fields 02:47
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Field data types 13:46
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Adding mappings to existing indices 01:55
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Changing existing mappings 03:49
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Mapping parameters 07:57
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Adding multi-fields mappings 02:38
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Defining custom date formats 05:42
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Picking up new fields without dynamic mapping 07:31
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Wrap up 00:37
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6. Analysis & Analyzers 14 Videos 00:54:40
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Introduction to the analysis process 01:41
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A closer look at analyzers 04:43
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Using the Analyze API 03:28
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Understanding the inverted index 04:31
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Overview of character filters 02:34
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Overview of tokenizers 08:34
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Overview of token filters 06:24
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Overview of built-in analyzers 04:58
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Configuring built-in analyzers and token filters 04:40
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Creating custom analyzers 03:11
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Using analyzers in mappings 03:18
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Adding analyzers to existing indices 03:27
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A word on stop words 01:01
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Wrap up 01:01
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7. Introduction to Searching 8 Videos 00:31:44
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Search methods 01:49
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Searching with the request URI 03:48
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Introducing the Query DSL 02:20
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Understanding query results 01:55
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Understanding relevance scores 09:53
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Debugging unexpected search results 01:41
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Query contexts 02:26
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Full text queries vs term level queries 05:56
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8. Term Level Queries 10 Videos 00:26:52
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Introduction to term level queries 01:10
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Searching for a term 02:26
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Searching for multiple terms 01:46
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Retrieving documents based on IDs 01:05
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Matching documents with range values 03:44
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Working with relative dates (date math) 07:35
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Matching documents with non-null values 01:57
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Matching based on prefixes 01:17
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Searching with wildcards 02:32
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Searching with regular expressions 02:56
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9. Full Text Queries 4 Videos 00:11:24
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Introduction to full text queries 02:21
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Flexible matching with the match query 04:43
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Matching phrases 01:36
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Searching multiple fields 02:36
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10. Adding Boolean Logic to Queries 4 Videos 00:21:25
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Introduction to compound queries 00:49
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Querying with boolean logic 10:35
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Debugging bool queries with named queries 03:14
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How the “match” query works 06:25
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11. Joining Queries 13 Videos 00:59:46
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Introduction to this section 02:14
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Querying nested objects 05:49
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Nested inner hits 03:57
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Mapping document relationships 02:40
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Adding documents 06:32
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Querying by parent ID 02:49
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Querying child documents by parent 05:12
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Querying parent by child documents 05:53
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Multi-level relations 09:39
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Parent/child inner hits 01:58
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Terms lookup mechanism 06:09
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Join limitations 01:16
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Join field performance considerations 03:57
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12. Controlling Query Results 8 Videos 00:27:51
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Specifying the result format 02:59
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Source filtering 04:23
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Specifying the result size 01:33
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Specifying an offset 02:07
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Pagination 05:04
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Sorting results 05:14
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Sorting by multi-value fields 02:25
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Filters 03:50
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13. Aggregations 12 Videos 01:00:32
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Introduction to aggregations 02:17
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Metric aggregations 08:55
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Introduction to bucket aggregations 06:23
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Document counts are approximate 06:22
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Nested aggregations 05:19
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Filtering out documents 02:29
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Defining bucket rules with filters 03:13
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Range aggregations 07:24
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Histograms 07:15
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Global aggregation 02:57
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Missing field values 02:25
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Aggregating nested objects 02:14
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14. Improving Search Results 9 Videos 00:54:19
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Introduction to this section 00:27
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Proximity searches 07:15
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Affecting relevance scoring with proximity 05:32
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Fuzzy match query (handling typos) 08:47
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Fuzzy query 02:31
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Adding synonyms 12:08
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Adding synonyms from file 05:38
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Highlighting matches in fields 06:02
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Stemming 05:23
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15. Building a Web Application Search Engine 6 Videos 00:47:49
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Introducing Application & Client Libraries 06:40
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Adding a simple query 06:30
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Paginating search results 08:34
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Adding fuzziness 04:48
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Aggregations & Filters 17:36
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Adding product details page 03:41
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16. Conclusion 1 Videos 00:00:47
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Last words & summing up 00:47
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17. Legacy Content (version 2.x) 36 Videos 02:52:42
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Introduction to this course 01:06
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Introduction to Elasticsearch 03:07
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Terminology 08:16
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Installing Elasticsearch 03:19
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Installing Kibana 04:23
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Installing Sense 02:59
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Creating an index 04:02
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Deleting an index 01:17
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Introduction to mapping 05:01
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Field data types 13:09
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Meta fields 06:15
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Adding mappings 04:13
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Adding test data 02:22
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Adding documents 04:34
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Replacing documents 01:47
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Updating documents 02:05
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Deleting documents 01:13
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Batch processing 08:01
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Retrieving document by ID 01:40
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Introduction to searching 07:15
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Searching with query strings: Basics 04:21
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Searching with query strings: Bool query 04:00
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Searching with query strings: Phrase query 03:20
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Searching with query strings: Remarks 01:17
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Searching with Query DSL: Full text queries 05:26
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Searching with Query DSL: Term level queries 07:01
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Searching with Query DSL: Compound queries 07:39
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Searching across indexes and types 08:20
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Fuzzy searches 09:21
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Proximity searches 05:54
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Boosting 04:27
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Filtering results 03:08
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Changing the size of result sets 01:51
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Pagination 03:31
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Sorting results 02:30
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Aggregations 13:40
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