Udemy - Complete Guide to Elasticsearch

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[GigaCourse.com] Udemy - Complete Guide to Elasticsearch 1. Introduction
  • 1. Introduction to the course.mp4 (42.3 MB)
  • 1. Introduction to the course.srt (84.6 MB)
  • 1.1 Link to GitHub repository.html (0.1 KB)
  • 2. Introduction to Elasticsearch.mp4 (72.0 MB)
  • 2. Introduction to Elasticsearch.srt (10.3 KB)
  • 3. Overview of the Elastic Stack.mp4 (167.0 MB)
  • 3. Overview of the Elastic Stack.srt (28.2 KB)
  • 3.1 Kibana demo.html (0.1 KB)
  • 4. Understanding of the Elastic Stack.html (0.1 KB)
  • 5. Walkthrough of common architectures.mp4 (95.7 MB)
  • 5. Walkthrough of common architectures.srt (17.2 KB)
  • 6. Guidelines for the course Q&A.html (3.1 KB)
10. Joining Queries
  • 1. Introduction to this section.mp4 (43.0 MB)
  • 1. Introduction to this section.srt (4.3 KB)
  • 10. Parentchild inner hits.mp4 (11.1 MB)
  • 10. Parentchild inner hits.srt (11.1 MB)
  • 11. Terms lookup mechanism.mp4 (46.4 MB)
  • 11. Terms lookup mechanism.srt (8.3 KB)
  • 12. Join limitations.mp4 (25.1 MB)
  • 12. Join limitations.srt (2.5 KB)
  • 13. Join field performance considerations.mp4 (67.0 MB)
  • 13. Join field performance considerations.srt (63.2 MB)
  • 2. Querying nested objects.mp4 (38.6 MB)
  • 2. Querying nested objects.srt (11.0 KB)
  • 3. Nested inner hits.mp4 (20.0 MB)
  • 3. Nested inner hits.srt (5.7 KB)
  • 4. Mapping document relationships.mp4 (8.4 MB)
  • 4. Mapping document relationships.srt (5.0 KB)
  • 5. Adding documents.mp4 (26.0 MB)
  • 5. Adding documents.srt (26.0 MB)
  • 6. Querying by parent ID.mp4 (12.0 MB)
  • 6. Querying by parent ID.srt (4.0 KB)
  • 7. Querying child documents by parent.mp4 (22.6 MB)
  • 7. Querying child documents by parent.srt (9.9 KB)
  • 7.1 Custom sorting.html (0.2 KB)
  • 8. Querying parent by child documents.mp4 (30.9 MB)
  • 8. Querying parent by child documents.srt (8.2 KB)
  • 8.1 Custom sorting.html (0.2 KB)
  • 9. Multi-level relations.mp4 (52.0 MB)
  • 9. Multi-level relations.srt (13.2 KB)
11. Controlling Query Results
  • 1. Specifying the result format.mp4 (22.9 MB)
  • 1. Specifying the result format.srt (4.2 KB)
  • 2. Source filtering.mp4 (24.7 MB)
  • 2. Source filtering.srt (6.0 KB)
  • 3. Specifying the result size.mp4 (8.6 MB)
  • 3. Specifying the result size.srt (2.2 KB)
  • 4. Specifying an offset.mp4 (9.3 MB)
  • 4. Specifying an offset.srt (3.0 KB)
  • 5. Pagination.mp4 (62.4 MB)
  • 5. Pagination.srt (62.4 MB)
  • 5.1 ​Documentation for search_after parameter.html (0.2 KB)
  • 6. Sorting results.mp4 (35.8 MB)
  • 6. Sorting results.srt (8.0 KB)
  • 7. Sorting by multi-value fields.mp4 (11.5 MB)
  • 7. Sorting by multi-value fields.srt (3.2 KB)
  • 8. Filters.mp4 (19.2 MB)
  • 8. Filters.srt (5.4 KB)
12. Aggregations
  • 1. Introduction to aggregations.mp4 (27.5 MB)
  • 1. Introduction to aggregations.srt (11.3 MB)
  • 1.1 orders-bulk.json (264.9 KB)
  • 10. Global aggregation.mp4 (16.1 MB)
  • 10. Global aggregation.srt (4.1 KB)
  • 11. Missing field values.mp4 (14.6 MB)
  • 11. Missing field values.srt (3.1 KB)
  • 12. Aggregating nested objects.mp4 (12.4 MB)
  • 12. Aggregating nested objects.srt (2.9 KB)
  • 2. Metric aggregations.mp4 (51.7 MB)
  • 2. Metric aggregations.srt (13.4 KB)
  • 2.1 All metric aggregations.html (0.2 KB)
  • 3. Introduction to bucket aggregations.mp4 (37.6 MB)
  • 3. Introduction to bucket aggregations.srt (37.6 MB)
  • 4. Document counts are approximate.mp4 (88.5 MB)
  • 4. Document counts are approximate.srt (9.5 KB)
  • 5. Nested aggregations.mp4 (49.2 MB)
  • 5. Nested aggregations.srt (8.1 KB)
  • 6. Filtering out documents.mp4 (9.9 MB)
  • 6. Filtering out documents.srt (3.4 KB)
  • 7. Defining bucket rules with filters.mp4 (13.6 MB)
  • 7. Defining bucket rules with filters.srt (4.4 KB)
  • 8. Range aggregations.mp4 (54.6 MB)
  • 8. Range aggregations.srt (10.3 KB)
  • 9. Histograms.mp4 (68.0 MB)
  • 9. Histograms.srt (10.8 KB)
13. Improving Search Results
  • 1. Introduction to this section.mp4 (6.0 MB)
  • 1. Introduction to this section.srt (0.7 KB)
  • 2. Proximity searches.mp4 (60.1 MB)
  • 2. Proximity searches.srt (10.7 KB)
  • 3. Affecting relevance scoring with proximity.mp4 (38.2 MB)
  • 3. Affecting relevance scoring with proximity.srt (8.0 KB)
  • 4. Fuzzy match query (handling typos).mp4 (87.9 MB)
  • 4. Fuzzy match query (handling typos).srt (12.7 KB)
  • 5. Fuzzy query.mp4 (12.7 MB)
  • 5. Fuzzy query.srt (3.6 KB)
  • 6. Adding synonyms.mp4 (96.2 MB)
  • 6. Adding synonyms.srt (16.1 KB)
  • 7. Adding synonyms from file.mp4 (39.8 MB)
  • 7. Adding synonyms from file.srt (7.6 KB)
  • 8. Highlighting matches in fields.mp4 (47.7 MB)
  • 8. Highlighting matches in fields.srt (47.7 MB)
  • 8.1 Link to the documentation.html (0.2 KB)
  • 9. Stemming.mp4 (33.0 MB)
  • 9. Stemming.srt (7.6 KB)
14. Building a Web Application Search Engine
  • 1. A quick note.html (0.9 KB)
  • 1.1 legacy-products.json (626.6 KB)
  • 2. Introducing Application & Client Libraries.mp4 (50.5 MB)
  • 2. Introducing Application & Client Libraries.srt (8.4 KB)
  • 2.1 code.zip (11.7 MB)
  • 3. Adding a simple query.mp4 (33.3 MB)
  • 3. Adding a simple query.srt (7.5 KB)
  • 3.1 code.zip (11.7 MB)
  • 4. Paginating search results.mp4 (63.8 MB)
  • 4. Paginating search results.srt (9.6 KB)
  • 4.1 code.zip (11.7 MB)
  • 5.

Description

Udemy - Complete Guide to Elasticsearch



Description

Do you want to learn the popular search engine, Elasticsearch, from the beginning and become a professional in no time? This course is an excellent way for you to quickly learn Elasticsearch and to put your knowledge to work in just a few hours! If so, then you have come to the right place, as this is the most comprehensive course on Elasticsearch that you will find online! This course is a great starting point for anyone who wants to learn the ELK stack and Elastic Stack, as Elasticsearch is at the center of both stacks.

Elasticsearch is an extremely popular search engine and will be an excellent addition to your CV - even if you are already familiar with other search engines or frameworks such as Apache Lucene, Apache Solr, Amazon CloudSearch, etc.

Please note that this course is intended for developers who want to interact with an Elasticsearch cluster in one way or another and not system administrators looking to maintain an Elasticsearch cluster in production. The course focuses on functionality relevant to utilize the capabilities of Elasticsearch as a developer.

The course is a combination of theory and learning by doing. Before giving examples of how to perform certain queries, you will have been equipped with the necessary theory in advance. This ensures that you not only know how to perform powerful searches with Elasticsearch, but that you also understand the relevant theory; you will get a deep understanding of how Elasticsearch works under the hood.

The course starts from the absolute beginning, and no knowledge or prior experience with Elasticsearch is required. We will walk through all of the most important aspects of Elasticsearch, and at the end of this course, you will be able to build powerful search engines. This could be for a website where you could build Google-like search functionality, for example.

So, join me in this course and learn to build powerful search engines with Elasticsearch today!

Note that this course does not cover Logstash and Kibana. This is so that I can go into much greater detail with Elasticsearch and focus on that exclusively. This course is therefore dedicated to Elasticsearch. For courses on Logstash and Kibana, please see my other courses.

Who this course is for:
Developers who want to learn Elasticsearch. The course is intended for developers and not system administrators.

Created by Bo Andersen
Last updated 1/2020
English
English [Auto-generated]



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Udemy - Complete Guide to Elasticsearch


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Download torrent
4.5 GB
seeders:5
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Udemy - Complete Guide to Elasticsearch


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