An overview of ElasticSearch 8 – 2023
An overview of ElasticSearch 8 – 2023, available at Free, has an average rating of 4.35, with 15 lectures, based on 37 reviews, and has 1322 subscribers.
You will learn about You can install elasticsearch and kibana on your machine You can interact with elasticsearch You can monitor data with kibana You can start building projects with ELK This course is ideal for individuals who are ElasticSearch enthusiasts It is particularly useful for ElasticSearch enthusiasts.
Enroll now: An overview of ElasticSearch 8 – 2023
Summary
Title: An overview of ElasticSearch 8 – 2023
Price: Free
Average Rating: 4.35
Number of Lectures: 15
Number of Published Lectures: 15
Number of Curriculum Items: 15
Number of Published Curriculum Objects: 15
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- You can install elasticsearch and kibana on your machine
- You can interact with elasticsearch
- You can monitor data with kibana
- You can start building projects with ELK
Who Should Attend
- ElasticSearch enthusiasts
Target Audiences
- ElasticSearch enthusiasts
When people ask, “what is Elasticsearch?”, some may answer that it’s “an index”, “a search engine”, an “analytics database”, “a big data solution”, that “it’s fast and scalable”, or that “it’s kind of like Google”. Depending on your level of familiarity with this technology, these answers may either bring you closer to an ah-ha moment or further confuse you. But the truth is, all of these answers are correct and that’s part of the appeal of Elasticsearch. Over the years, Elasticsearch and the ecosystem of components that’s grown around it called the “Elastic Stack” has been used for a growing number of use cases, from simple search on a website or document, collecting and analyzing log data, to a business intelligence tool for data analysis and visualization
Elasticsearch is a distributed, open-source search and analytics engine built on Apache Lucene and developed in Java. It started as a scalable version of the Lucene open-source search framework then added the ability to horizontally scale Lucene indices. Elasticsearch allows you to store, search, and analyze huge volumes of data quickly and in near real-time and give back answers in milliseconds. It’s able to achieve fast search responses because instead of searching the text directly, it searches an index. It uses a structure based on documents instead of tables and schemas and comes with extensive REST APIs for storing and searching the data. At its core, you can think of Elasticsearch as a server that can process JSON requests and give you back JSON data.
This is the best overview/starter point for those who are keen to learn about elasticsearch and kibana.
By the end of this course you should be able to interact with elasticsearch and tweak it to some extend.
Course Curriculum
Chapter 1: Installations & configs
Lecture 1: Install elasticsearch
Lecture 2: Kibana overview
Lecture 3: elastic configs
Chapter 2: Basic Concepts
Lecture 1: Nodes and Clusters
Lecture 2: Cluster info
Lecture 3: What is Sharding ?
Lecture 4: What are Replicas?
Chapter 3: Hands on elasticsearch
Lecture 1: Create & delete indices
Lecture 2: How to index a document
Lecture 3: Retrieve doc
Lecture 4: Update a doc
Lecture 5: Script update
Lecture 6: Upsert
Lecture 7: Replacing a doc
Lecture 8: Delete a doc
Instructors
-
Alireza Amrollahikoupaei
An experienced software engineer
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 6 votes
- 4 stars: 13 votes
- 5 stars: 15 votes
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