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    Mastering Kibana: ELK Stack Visualization & Analytics

    Posted By: lucky_aut
    Mastering Kibana: ELK Stack Visualization & Analytics

    Mastering Kibana: ELK Stack Visualization & Analytics
    Last updated 10/2025
    Duration: 3h 32m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.64 GB
    Genre: eLearning | Language: English

    Learn Kibana visualization, Elasticsearch integration for advanced data analytics and monitoring solutions.

    What you'll learn
    - Install and configure the complete ELK Stack environment including Elasticsearch, Logstash, and Kibana for enterprise-level data analytics
    - Design and implement Logstash pipelines to ingest structured and unstructured data from multiple sources into Elasticsearch efficiently
    - Master data exploration techniques using Kibana Discover interface with Lucene and KQL query languages for advanced searching
    - Create professional visualizations using Kibana Lens, Vega, Timelion, and map visualizations to transform raw data into actionable insights
    - Build interactive dashboards with filters, drilldowns, and multiple index patterns optimized for performance and user experience
    - Configure comprehensive alerting and monitoring systems using Kibana alerts and Elasticsearch Watcher for proactive system management
    - Implement enterprise-grade security using role-based access control, spaces, and user permissions to protect sensitive data and dashboards
    - Apply machine learning capabilities for anomaly detection, forecasting, and time-series analysis to identify patterns and predict future trends

    Requirements
    - Basic understanding of data concepts and familiarity with log files or system monitoring (no advanced expertise required)
    - Computer with at least 8GB RAM and 20GB free disk space for installing the ELK Stack locally
    - Willingness to work with command-line interfaces and configuration files
    - No prior experience with Elasticsearch, Logstash, or Kibana needed—we'll start from the basics

    Description
    Unlock the full potential of Kibana and the ELK Stack in this comprehensive course designed for data analysts, developers, and DevOps professionals. You'll start by understanding the ELK ecosystem—Elasticsearch, Logstash, and Kibana—and learn how these powerful tools work together to process, store, and visualize massive amounts of data in real-time.

    Throughout this course, you'll gain hands-on experience with Logstash pipelines for data ingestion, master Kibana's Discover interface for data exploration, and Unlock the full potential of Kibana and the ELK Stack in this comprehensive course designed for data analysts, developers, and DevOps professionals. You'll start by understanding the ELK ecosystem—Elasticsearch, Logstash, and Kibana—and learn how these powerful tools work together to process, store, and visualize massive amounts of data in real-time.

    Throughout this course, you'll gain hands-on experience with Logstash pipelines for data ingestion, master Kibana's Discover interface for data exploration, and create stunning visualizations using Lens, Vega, and Timelion. You'll build interactive dashboards with filters and drilldowns, implement alerting and monitoring systems, and secure your Kibana environment with role-based access control.

    Advanced topics include machine learning integration for anomaly detection, performance optimization techniques, and embedding dashboards in external applications. Each section includes practical labs and culminates in a comprehensive capstone project where you'll apply everything you've learned to build a complete monitoring and analytics solution. Whether you're analyzing logs, monitoring infrastructure, or building business intelligence dashboards, this course provides the skills you need to become a Kibana expert.By the end of this course, you'll have the confidence and expertise to design, deploy, and manage production-ready Kibana solutions that drive data-driven decision making in any organization.stunning visualizations using Lens, Vega, and Timelion. You'll build interactive dashboards with filters and drilldowns, implement alerting and monitoring systems, and secure your Kibana environment with role-based access control.

    Advanced topics include machine learning integration for anomaly detection, performance optimization techniques, and embedding dashboards in external applications. Each section includes practical labs and culminates in a comprehensive capstone project where you'll apply everything you've learned to build a complete monitoring and analytics solution. Whether you're analyzing logs, monitoring infrastructure, or building business intelligence dashboards, this course provides the skills you need to become a Kibana expert.

    Who this course is for:
    - Data analysts and business intelligence professionals who want to visualize and analyze large datasets using modern open-source tools
    - DevOps engineers and system administrators responsible for monitoring infrastructure, applications, and log management
    - Software developers who need to implement logging, monitoring, and alerting solutions in their applications
    - IT security professionals looking to analyze security logs, detect anomalies, and create security monitoring dashboards
    - Database administrators who want to expand their skillset with Elasticsearch and real-time data visualization capabilities
    - Anyone interested in learning the ELK Stack for career advancement in data analytics, observability, or site reliability engineering
    More Info