| 1. Introduction | |||
| 1. Introduction.mp4 | 21.61 MB | ||
| 2. Course Structure.mp4 | 26.62 MB | ||
| 10. Aggregations, Custom Mappings and Analyzers | |||
| 1. Indexing multiple documents to understand the concept of aggregations.mp4 | 47.84 MB | ||
| 2. Date histogram aggregations.mp4 | 39.83 MB | ||
| 3. Terms aggregations.mp4 | 31 MB | ||
| 4. Range aggregations.mp4 | 35.03 MB | ||
| 5. Metrics aggregations.mp4 | 24.15 MB | ||
| 6. Custom mappings.mp4 | 114.74 MB | ||
| 7. Custom Analyzers.mp4 | 82.3 MB | ||
| 8. Advanced Concepts of Elasticsearch.html | 164 B | ||
| 11. Flask Application Api's with Elasticsearch | |||
| 1. Creating flask app and creating products index by using post api.mp4 | 71.72 MB | ||
| 2. Retrieving product by its id.mp4 | 57.69 MB | ||
| 3. Updating product by its id.mp4 | 29.41 MB | ||
| 4. Delete a product by its id.mp4 | 24.58 MB | ||
| 5. Creating api with custom query.mp4 | 55.38 MB | ||
| 12. Error Handling with Elasticsearch | |||
| 1. Error handling in Elasticsearch.mp4 | 50.92 MB | ||
| 13. Conclusion | |||
| 1. Conclusion.mp4 | 16.13 MB | ||
| 2. Setting up development environment | |||
| 1. Installing Elasticsearch 8 with Kibana.mp4 | 68.66 MB | ||
| 3. Understanding Basic Elasticsearch Concepts | |||
| 1. Introduction to Elasticsearch.mp4 | 58.11 MB | ||
| 2. Shards and Replicas in Elasticsearch.mp4 | 31.53 MB | ||
| 3. Index, Retrieve and Delete index.mp4 | 82.66 MB | ||
| 4. Query context in DSL.mp4 | 119.37 MB | ||
| 5. Filter context and fuzzy search.mp4 | 71 MB | ||
| 4. Advance Elasticsearch Concepts | |||
| 1. Aggregations in Elasticsearch.mp4 | 157.79 MB | ||
| 2. Custom mappings and settings.mp4 | 48.42 MB | ||
| 3. Dynamic Mappings.mp4 | 22.64 MB | ||
| 4. Built in and Custom analyzers.mp4 | 101.02 MB | ||
| 5. Elasticsearch Basics.html | 164 B | ||
| 5. Getting Started with Elasticsearch Python Client | |||
| 1. Installing anaconda and PyCharm IDE.mp4 | 54.93 MB | ||
| 2. Install elasticsearchpy module.mp4 | 38.86 MB | ||
| 6. CRUD Operations and bulk method | |||
| 1. Index document into the Elasticsearch.mp4 | 40.87 MB | ||
| 2. Update document into the Elasticsearch.mp4 | 37.42 MB | ||
| 3. Deleting Document.mp4 | 18.1 MB | ||
| 4. Using bulk method to index multiple documents.mp4 | 39.06 MB | ||
| 5. Elasticsearch python client CRUD Operations.html | 164 B | ||
| 7. Basic search Queries with Elasticsearch | |||
| 1. Search operations match_all and range query.mp4 | 24.34 MB | ||
| 2. combining searches and pagination and sorting.mp4 | 66.3 MB | ||
| 8. Advanced search | |||
| 1. exploring elasticsearch dsl.mp4 | 69.94 MB | ||
| 2. fuzzy and full text search.mp4 | 40.76 MB | ||
| 3. Working with dates and geo data.mp4 | 63.18 MB | ||
| 4. Optimizing search performance.mp4 | 47.45 MB | ||
| 5. Search in Elasticsearch.html | 164 B | ||
| 9. Working with Elasticsearch inside Docker Container | |||
| 1. Installing Docker with Elasticsearch and Kibana.mp4 | 200.97 MB | ||
| 2. Connect python project to Elasticsearch 8 in docker container.mp4 | 19.67 MB |
Обучающие видео » Компьютерные видеоуроки и обучающие интерактивные DVD » Программирование (видеоуроки)
Learn Elasticsearch 8 with Python Client from scratch
Год выпуска: 2023
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/learn-elasticsearch-8-with-python-client-from-scratch/
Автор: Touseef Arif
Продолжительность: ~5h54m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: Hello, I am a software architect with 10 years of experience in software development. I have created a course for you to learn Elasticsearch 8 with Python client from scratch. This course will teach you how to use Elasticsearch, a powerful and scalable search engine, to store, search, and analyze large amounts of data. You will also learn how to use Python, a popular and versatile programming language, to interact with Elasticsearch and build a web application API's using Flask, a lightweight and easy-to-use web framework.
This course is designed for beginners who want to learn the basics of Elasticsearch and Python, as well as intermediate and advanced users who want to deepen their knowledge and skills. The course is divided into 40 lectures, each covering a specific topic and providing practical examples and exercises. By the end of this course, you will be able to:
Install and configure Elasticsearch 8 with Kibana, a web interface for visualizing and managing your data
Understand the core concepts and features of Elasticsearch, such as shards, replicas, indices, documents, mappings, analyzers, queries, filters, and aggregations
Perform various operations on your data, such as indexing, retrieving, updating, deleting, searching, sorting, and aggregating
Use the elasticsearch-py module, the official Python client for Elasticsearch, to connect to and interact with your Elasticsearch cluster
Use the elasticsearch-dsl module, a high-level library that simplifies working with Elasticsearch in Python
Perform fuzzy and full-text search, as well as search with dates and geo data
Optimize your search performance by using scroll api's, pagination, and other techniques
Install and use Docker, a tool that allows you to run applications in isolated containers, to run Elasticsearch and Kibana in a virtual environment
Build a Flask web application that uses Elasticsearch as the backend to store and search products
Handle errors and exceptions in Elasticsearch and Python
Learn best practices and tips for working with Elasticsearch and Python
[spoiler="Содержание"]
01:37
02:25
10:27
Introduction to Elasticsearch
08:15
Shards and Replicas in Elasticsearch
05:48
Index, Retrieve and Delete index
15:02
Query context in DSL
20:31
Filter context and fuzzy search
12:01
Aggregations in Elasticsearch
23:59
Custom mappings and settings
10:12
Dynamic Mappings
04:11
Built in and Custom analyzers
17:19
Elasticsearch Basics
5 вопросов
Installing anaconda and PyCharm IDE
10:25
Install elasticsearchpy module
06:15
Index document into the Elasticsearch
06:39
Update document into the Elasticsearch
05:36
Deleting Document
02:44
Using bulk method to index multiple documents
06:50
Elasticsearch python client CRUD Operations
5 вопросов
Search operations match_all and range query
05:02
combining searches and pagination and sorting
11:05
exploring elasticsearch dsl
10:43
fuzzy and full text search
07:30
Working with dates and geo data
10:53
Optimizing search performance
07:51
Search in Elasticsearch
5 вопросов
Installing Docker with Elasticsearch and Kibana
22:50
Connect python project to Elasticsearch 8 in docker container
03:28
Indexing multiple documents to understand the concept of aggregations
07:18
Date histogram aggregations
06:09
Terms aggregations
04:59
Range aggregations
05:40
Metrics aggregations
04:21
Custom mappings
19:12
Custom Analyzers
14:36
Advanced Concepts of Elasticsearch
5 вопросов
Creating flask app and creating products index by using post api
11:02
Retrieving product by its id
07:59
Updating product by its id
03:59
Delete a product by its id
03:25
Creating api with custom query
07:17
Error handling in Elasticsearch
08:02
Conclusion
01:07
[/spoiler]
Файлы примеров: не предусмотрены
Формат видео: MP4
Видео: AVC, 1280x720, 16:9, 30fps, ~800kbps
Аудио: AAC, 44.1kHz, 128kbps, stereo
[spoiler="Скриншоты"]
![]()
[/spoiler]
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 355.15 MB | Balladowield | 9 years | 4 | 0 | |
|
ElasticSearch, LogStash, Kibana ELK #1 - Learn ElasticSearch [2017, ENG] Posted by
Balladowield in Other
|
519.18 MB | Balladowield | 9 years | 2 | 0 |
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