Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On

About this course

This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this specialization, you will learn Elasticsearch’s role in the Elastic Stack and how to install, configure, and manage it for data search and analytics. You’ll discover how Elasticsearch powers search engines and analytics and gain proficiency in interacting with it through APIs, creating indices, and managing data. The first section covers Elasticsearch installation and basic concepts like term frequency, indices, and documents. You’ll also learn HTTP and RESTful APIs for interacting with Elasticsearch, and apply these skills through exercises like indexing movie data. As you progress, you’ll explore scaling Elasticsearch, optimizing queries, and using Kibana for data visualization. You’ll also learn to handle large datasets, perform log analysis, and manage Elasticsearch in the cloud. Designed for learners in data science, software development, and cloud technologies, this specialization is perfect for those looking to work with big data and enhance search engine capabilities. By the end of the specialization, you’ll be able to install, configure, and manage Elasticsearch clusters, scale data, and integrate with tools like Logstash, Kibana, and Kafka for cloud-based deployments.

Course objectives

• understand the role of Elasticsearch in the Elastic Stack
• gain proficiency in data search and analytics
• visualize data effectively with Kibana
• manage Elasticsearch in cloud environments