Elastic Stack & AWS: Foundational Search and Analytics

In today's data-rich world, efficiently searching, analyzing, and visualizing vast amounts of information is crucial for any application or system. The Elastic Stack provides a powerful suite of tools to tackle this challenge. This course will guide you from core concepts to practical implementation, enabling you to confidently design, deploy, and manage your own scalable search and data analytics solutions using Elasticsearch and other Elastic Stack components on AWS. What you'll learn: * Understand the core architecture and components of the Elastic Stack, including Elasticsearch, Kibana, and Beats. * Learn to index, query, and analyze data effectively using Elasticsearch's powerful search capabilities. * Apply fundamental data modeling and mapping techniques for optimal search performance. * Configure and deploy Elastic Stack components on AWS, leveraging services like EC2 and IAM for secure, scalable infrastructure. * Practice creating insightful dashboards and visualizations with Kibana to explore your data. * Understand basic concepts of observability and how the Elastic Stack contributes to monitoring application health and logs. * Explore foundational principles for securing your Elastic Stack deployments and managing user access within an AWS context. Starting with the foundational concepts of distributed search and data indexing, you will progressively learn how to install, configure, and interact with the Elastic Stack. The course then transitions into deploying these solutions on AWS, culminating in practical exercises to build and visualize real-world data applications. This course is designed for absolute beginners to the Elastic Stack and AWS who are looking to understand how to build powerful search and data analytics capabilities. No prior experience with Elasticsearch, Kibana, or AWS is required. Begin your journey into scalable data search and analytics today.