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.
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Learn Data Integration and Visualization with Elasticsearch
This course is part of Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On Specialization
Instructor: Packt - Course Instructors
Included with
Recommended experience
What you'll learn
Implement various methods to import and manage data in Elasticsearch
Perform and analyze advanced data aggregation to generate meaningful insights
Design and create interactive and informative dashboards using Kibana
Evaluate and visualize complex datasets effectively to drive decision-making
Skills you'll gain
Details to know
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October 2024
1 assignment
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There are 3 modules in this course
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.
What's included
25 videos2 readings
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.
What's included
8 videos
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.
What's included
10 videos1 reading1 assignment
Instructor
Offered by
Recommended if you're interested in Data Analysis
Coursera Instructor Network
Ball State University
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.