MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 6 lectures (1h 40m) | Size: 830.7 MB
Elasticsearch Automation With Python(Hands 0n)
What you’ll learn:
What is elasticsearch
what is elkstack
Different components of elkstack
uses and benefits of elkstack
Various uses cases covering elk with the help python
Automation on elasticsearch using python
Data analysis from Kibana using python
Requirements
python
Description
Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java and is dual-licensed under the source-available Server Side Public License and the Elastic license, while other parts[4] fall under the proprietary Elastic License. Official clients are available in Java, .NET (C#), PHP, Python, Apache Groovy, Ruby and many other languages.According to the DB-Engines ranking, Elasticsearch is the most popular enterprise search engine.
Elasticsearch is a distributed, open-source search and analytics engine built on Apache Lucene and developed in Java. Elasticsearch allows you to store, search, and analyze huge volumes of data quickly and in near real-time and give back answers in milliseconds.
Elastic and Google team up to bring a more native Elasticsearch Service experience on Google Cloud. Today, we announced an expansion of our partnership with Google, by deepening the integration between Elasticsearch Service on Google Cloud Platform in a more native way.
Why do you need it? Elasticsearch is fast. Because Elasticsearch is built on top of Lucene, it excels at full-text search. Elasticsearch is also a near real-time search platform, meaning the latency from the time a document is indexed until it becomes searchable is very short — typically one second
We will learn basic to advance topics of elk stack using python as programming language .
Who this course is for
all level
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