This 3 day in person course is designed for both new Elasticsearch users and Elasticsearch professionals. It begins with the basics for getting started with the Elastic Stack, then quickly dives deep into topics for building efficient clusters. You will learn how to write search requests and work with their responses, transform and enrich data, implement strategies to optimize and scale your clusters, create data lifecycle and backup policies, manage multi-cluster operations, and troubleshoot your cluster.
After completing this course, you will be well on your way to becoming an Elastic Certified Engineer.
Government agencies are adopting Elastic solutions at an incredible pace. Elastic is dedicated to enabling our government partners to achieve their mission, and we are pleased to offer free training opportunities to a limited number of qualified government users on a regular basis. Apply today for free access to an in person, instructor-led Elastic Engineer training course that will prepare you to sit for the Elastic Certified Engineer exam.
Provide your information via the form on the right, and we will get in touch as soon as your application is accepted.
Attendees should bring their own device with an up to date web browser to participate in the course.
• Getting started - Learn how Elasticsearch and the components of the Elastic Stack work together to solve real-world use cases and problems.
• Data modeling - Define how Elasticsearch handles strings in your documents.
Differentiate between keywords and text fields to understand their capabilities. Use a mapping to configure how Elasticsearch should store and access data.
• Search - Discuss how to define queries using Query DSL, Elasticsearch’s search
language. Examine the structure of queries and what Elasticsearch
returns, particularly how Elasticsearch scores documents.
• Aggregations -Explore metric, bucket, and pipeline aggregations. Learn how aggregations summarize data as metrics, statistics, or other analytics and can be combined to gain deeper insights into your data.
• Data processing - Implement data processors to transform data by updating fields or enriching documents.
• Distributed datastore - Learn how shards make distributed search possible and how replica shards can be used for high availability to improve search performance.
• Data management - Determine how to manage and organize data to optimize performance. Explore how to configure an index template to use data streams.
• Cluster management - Learn how to manage cross-cluster operations for distributed Elasticsearch clusters.
We are pleased to offer continuing professional education (CPE) credits to those that attend either the morning or afternoon session. Carahsoft is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education of the National Registry of CPE Sponsors. For more information on the CPE credits we are offering, our CPE sponsor (NASBA), and submission process, please click here.
Elasticsearch is a trademark of Elasticsearch B.V., registered in the U.S. and in other countries. Apache, Apache Lucene, Apache Hadoop, Hadoop, HDFS, and the yellow elephant logo are trademarks of the Apache Software Foundation in the United States and/or other countries
