Elasticsearch 7 and the Elastic Stack - In Depth & Hands On! (Update)
Bestseller | h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, 2channels | 12h 14mn | 4.49 GB
Created by: Sundog Education by Frank Kane, Frank Kane, Coralogix Ltd

Search, analyze, and visualize big data on a cluster with Elasticsearch, Logstash, Beats, Kibana, and more. What you'll learn

Install and configure Elasticsearch 7 on a cluster
Create search indices and mappings
Search full-text and structured data in several different ways
Import data into Elasticsearch using several different techniques
Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more
Aggregate structured data using buckets and metrics
Use Logstash and the "ELK stack" to import streaming log data into Elasticsearch
Use Filebeats and the Elastic Stack to import streaming data at scale
Analyze and visualize data in Elasticsearch using Kibana
Manage operations on production Elasticsearch clusters
Use cloud-based solutions including Amazon's Elasticsearch Service and Elastic Cloud

Requirements

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

Description

New for 2020! We've teamed up with Coralogix to co-produce the most comprehensive Elastic Stack course we've seen. Elasticsearch 7 is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of milliseconds! It's an increasingly popular technology, and a valuable skill to have in today's job market. This course covers it all, from installation to operations, with over 100 lectures including 11 hours of video.