• views: 56
• date: 17 August 2025
• posted by: 0nelove

Elasticsearch, Kibana, Logstash, Beats, APM: ELK Stack: querying, visualization, painless, beats and spatial analysis
What you'll learn
Understand ELK stack roles, focusing on architecture and data scalability.
Master indexing, complex searches, and real-time analytics.
Build interactive dashboards and visualizations in Kibana.
Implement secure, scalable setups and optimize performance.
Requirements
A basic understanding of REST web services/api, HTTP and JSON is required.
Description
Kindly note: All recorded demos are on Windows only.Dive into the world of data search and visualization with our comprehensive course on Elasticsearch and Kibana. This course is designed to guide you through the basics to advanced concepts, ensuring a solid foundation in understanding how to effectively utilize Elasticsearch as a powerful search and analytics engine, alongside Kibana for insightful data visualization.You'll learn about Elasticsearch's architecture, including its distributed nature and how it achieves scalability and resilience. We'll cover everything from setting up Elasticsearch and Kibana, performing basic to complex queries, creating interactive dashboards, painless script, spatial queries, performance optimization and implementing security measures to protect your data. By the end of this course, you will have hands-on experience in leveraging the ELK stack for real-time data analysis and visualization, preparing you to tackle real-world data challenges. Whether you're a data enthusiast, a budding analyst, or a seasoned IT professional, this course will equip you with the knowledge and skills needed to transform data into actionable insights, making it an indispensable tool in your data toolkit. Additionally, with the inclusion of Logstash, you'll master data ingestion, further enhancing your ability to handle complex data pipelines for comprehensive analysis and visualization. This all-encompassing approach ensures a deep understanding of how to gather, analyze, and visualize data effectively, making you proficient in the ELK stack.
Who this course is for
Data Analysts and Scientists: Professionals seeking to leverage Elasticsearch for deep data analysis and insights.
Software Developers: Developers looking to integrate advanced search and analytics features into their applications.
IT Professionals: System administrators and DevOps engineers interested in managing and scaling Elasticsearch clusters.
Business Analysts: Analysts aiming to utilize Kibana for real-time data visualization and business intelligence.
Students and Enthusiasts: Individuals passionate about data and looking to build foundational knowledge in Elasticsearch and Kibana.



   
   
   

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