Elasticsearch 7 and the Elastic Stack - In Depth & Hands On!

Course details

New for 2019! Elasticsearch7 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 comprehensive course covers it all, from installation to operations, withover 90 lecturesincluding8 hoursof video.

We'll cover setting up search indices on anElasticsearch 7cluster (if you need Elasticsearch 5 or 6- we have other courses on that), and querying that data in many different ways. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting - you name it. And it's not just theory, every lesson has hands-on examples whereyou'll practice each skillusing a virtual machine running Elasticsearchon your own PC.

We'll explore what's new in Elasticsearch 7 - including index lifecycle management, the deprecation of types and type mappings, and a hands-on activity with ElasticsearchSQL.We've also added much more depth on managing security with the Elastic Stack, and how backpressure works with Beats.

We cover, in depth, the often-overlooked problem ofimporting datainto an Elasticsearch index. Whether it's via raw RESTful queries, scripts using Elasticsearch API's, or integration with other "big data" systems like Spark and Kafka - you'll see many ways to get Elasticsearch started from large, existing data sets at scale. We'll also stream data into Elasticsearch usingLogstashandFilebeat- commonly referred to as the "ELKStack" (Elasticsearch / Logstash / Kibana) or the "Elastic Stack".

Elasticsearchisn't just for search anymore- it has powerfulaggregationcapabilities for structured data. We'll bucket and analyze data using Elasticsearch, and visualize it using the Elastic Stack's web UI,Kibana.

You'll learn how to manageoperationson your Elastic Stack, using X-Pack to monitor your cluster's health, and how to perform operational tasks like scaling up your cluster, and doing rolling restarts. We'll also spin up Elasticsearch clusters in the cloud usingAmazon ElasticsearchServiceand theElastic Cloud.

Elasticsearch is positioning itself to be a much faster alternative to Hadoop, Spark, and Flink for many common data analysis requirements. It's an important tool to understand, and it's easy to use! Dive in with me and I'll show you what it's all about.