Description
Elasticsearch 8 and the Elastic Stack: In Depth and Hands On, a hands-on training course and an in-depth review of Elasticsearch 8 is published by Udemy Academy. Elasticsearch and Elastic Stack are important tools for managing massive data. You need to know the problems it solves and how it works to design the best systems and be the most valuable engineer you can be. Elasticsearch 8 is a powerful tool for analyzing large data sets in milliseconds! This technology is increasingly used to power search and analytics on large websites and is a valuable skill to have in today’s job market. This course covers everything from installation to operation. Learn how to use Elasticsearch 8 and implement it in your work in the next few days. We’ve partnered with Coralogix to produce the most comprehensive Elastic Stack course with over 100 lectures including 15 hours of video.
We’ll show you how to create search indexes on an Elasticsearch 8 cluster (if you need Elasticsearch 6 or 7 – we have other courses), and search that data in different ways. Fuzzy searches, partial matches, search as type, cleanup, sorting, and it’s not just theory, each lesson has practical examples where you practice each skill using a virtual machine running Elasticsearch on your own PC. You will practice. We cover in depth the often overlooked issue of importing data into an Elasticsearch index. Whether it’s through raw RESTful queries, scripts using the Elasticsearch API, or integrations with other “big data” systems like Spark and Kafka – you’ll find plenty of ways to start Elasticsearch from existing large data sets at scale. Sight. We also transfer data to Elasticsearch using Logsash and Filebeat, which is usually called “Elasticsearch / Logsash / Kibana” or “Elastic Stack”.
What you will learn
- Installing and configuring Elasticsearch 7 on a cluster
- Create search indexes and mappings
- Search full-text and structured data in several different ways
- Importing data into Elasticsearch using various techniques
- Elasticsearch integration with other systems such as Spark, Kafka, relational databases, s3, etc
- Gather structured data using buckets and metrics
- Using Logsash and “ELK backend” to import current log data to Elasticsearch
- Using FileBeats and Elastic Stack to import streaming data at scale
- Data analysis and visualization in Elasticsearch using Kibana
- Managing the operations of Elasticsearch clusters
- Using cloud solutions including Amazon’s Elasticsearch service and Elastic Cloud
Who is this course suitable for?
- Any technology that is responsible for the fast and scalable search and analysis of large data sets.
Course specifications Elasticsearch 8 and the Elastic Stack: In Depth and Hands On
Head of the course seasons on 2023-7
Course prerequisites
- You need access to a Windows, Mac, or Ubuntu PC with 20GB of free disk space
- You should have some familiarity with web services and REST
- Some familiarity with Linux will be helpful
- Exposure to JSON-formatted data will help
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.85 GB
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