Learn Data Integration and Visualization with Elasticsearch

This course offers an in-depth exploration of data integration and visualization using Elasticsearch, Logstash, and Kibana, providing you with the tools and knowledge needed to manage and present complex data. The journey begins with understanding how to import data into Elasticsearch, whether it’s small-scale data or large datasets. You'll learn to use scripts, client libraries, and Logstash for data import, with practical exercises to reinforce your understanding. The use of Logstash is thoroughly covered, including working with various data formats and integrating data from MySQL, S3, and Kafka. As the course progresses, you'll dive into the world of data aggregation within Elasticsearch. You will explore concepts like buckets, metrics, and histograms, which are essential for analyzing and summarizing data. Through hands-on exercises, you'll learn how to effectively use aggregations to generate meaningful insights from time series data and nested data structures, ensuring that you can extract the maximum value from your data. In the final sections, the course shifts focus to visualization, teaching you how to harness the power of Kibana to create compelling, interactive dashboards. You'll start by installing and configuring Kibana, followed by an exploration of its core features, such as Kibana Lens and Canvas. These tools will enable you to visualize data in a way that is both informative and visually appealing, making your data presentations stand out. By the end of the course, you'll have a solid foundation in data integration, aggregation, and visualization, empowering you to transform raw data into actionable insights. This course is designed for data engineers, analysts, and IT professionals who need to integrate, manage, and visualize data using Elasticsearch and Kibana. A basic understanding of databases and data structures is recommended to fully benefit from the course

• Importing Data into Your Index - Big or Small
• In this module, we will explore different methods for importing data into Elasticsearch, whether your datasets are small or large. You'll learn how to use scripts, client libraries, and Logstash to ingest data, including formats like CSV and JSON. We’ll also delve into advanced techniques like parsing with Grok and integrating with tools like Kafka and Apache Spark to streamline your data pipeline.
• Using Aggregation
• In this module, we will focus on the powerful aggregation capabilities of Elasticsearch. You’ll learn how to use aggregations to analyze and visualize data, including creating histograms and time series charts. We'll also cover nested aggregations, allowing you to perform more sophisticated analyses on your datasets, and provide exercises to reinforce these concepts.
• Using Kibana
• In this module, we will dive into Kibana, the visualization tool for Elasticsearch. You’ll learn how to install and navigate Kibana, explore data using its interactive interface, and leverage powerful features like Kibana Lens and Canvas for creating custom visualizations. We’ll also introduce Elasticsearch SQL and demonstrate how to integrate Kibana with other platforms like Apache Hadoop to enhance your data analysis capabilities.