Learn Elasticsearch 8 with Python Client from scratch

سرفصل های دوره

A comprehensive and practical guide to master the fundamentals and advanced features of Elasticsearch 8 and Python 3

1. Introduction

1. Introduction

2. Course Structure

2. Setting up development environment

1. Installing Elasticsearch 8 with Kibana

3. Understanding Basic Elasticsearch Concepts

1. Introduction to Elasticsearch

2. Shards and Replicas in Elasticsearch

3. Index, Retrieve and Delete index

4. Query context in DSL

5. Filter context and fuzzy search

4. Advance Elasticsearch Concepts

1. Aggregations in Elasticsearch

2. Custom mappings and settings

3. Dynamic Mappings

4. Built in and Custom analyzers

5. Elasticsearch Basics.html

5. Getting Started with Elasticsearch Python Client

1. Installing anaconda and PyCharm IDE

2. Install elasticsearchpy module

6. CRUD Operations and bulk method

1. Index document into the Elasticsearch

2. Update document into the Elasticsearch

3. Deleting Document

4. Using bulk method to index multiple documents

5. Elasticsearch python client CRUD Operations.html

7. Basic search Queries with Elasticsearch

1. Search operations match all and range query

2. combining searches and pagination and sorting

8. Advanced search

1. exploring elasticsearch dsl

2. fuzzy and full text search

3. Working with dates and geo data

4. Optimizing search performance

5. Search in Elasticsearch.html

9. Working with Elasticsearch inside Docker Container

1. Installing Docker with Elasticsearch and Kibana

2. Connect python project to Elasticsearch 8 in docker container

10. Aggregations, Custom Mappings and Analyzers

1. Indexing multiple documents to understand the concept of aggregations

2. Date histogram aggregations

3. Terms aggregations

4. Range aggregations

5. Metrics aggregations

6. Custom mappings

7. Custom Analyzers

8. Advanced Concepts of Elasticsearch.html

11. Flask Application Apis with Elasticsearch

1. Creating flask app and creating products index by using post api

2. Retrieving product by its id

3. Updating product by its id

4. Delete a product by its id

5. Creating api with custom query

12. Error Handling with Elasticsearch

1. Error handling in Elasticsearch

13. Conclusion

1. Conclusion

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تولید کننده: Udemy