Learn Data Integration and Visualization with Elasticsearch
Master data ingestion, aggregation, and visualization with Elasticsearch and Kibana to transform complex datasets into actionable insights.
Master data ingestion, aggregation, and visualization with Elasticsearch and Kibana to transform complex datasets into actionable insights.
This comprehensive course explores data integration and visualization using Elasticsearch, Logstash, and Kibana, providing practical skills for managing and presenting complex data. Students will learn multiple methods for importing data into Elasticsearch, from small-scale datasets to large-volume information sources. The curriculum covers using scripts, client libraries, and Logstash for data ingestion, with special focus on handling various data formats including CSV and JSON. Advanced techniques like Grok parsing and integration with tools such as MySQL, S3, Kafka, and Apache Spark are thoroughly explored. The course then delves into Elasticsearch's powerful aggregation capabilities, teaching students to analyze and summarize data using buckets, metrics, and histograms. The final section focuses on Kibana for visualization, where students learn to create interactive dashboards and leverage features like Kibana Lens and Canvas to transform raw data into compelling visual stories that drive decision-making.
Instructors:
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What you'll learn
Implement various methods to import data into Elasticsearch from multiple sources
Configure and use Logstash to create efficient data pipelines
Process and transform data using Grok patterns and filters
Integrate Elasticsearch with external systems like MySQL, S3, and Kafka
Perform advanced data aggregation using buckets, metrics, and histograms
Analyze time series data for trend identification and forecasting
Skills you'll gain
This course includes:
6.5 Hours PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
Batch access
Shareable certificate
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There are 3 modules in this course
This course provides comprehensive training on integrating and visualizing data using Elasticsearch and related tools in the Elastic Stack. The curriculum is structured into three main sections. The first module focuses on data import techniques, covering various methods from simple scripts to complex pipelines using Logstash. Students learn to ingest data from multiple sources including databases, CSV files, JSON documents, and streaming platforms like Kafka. The second module explores Elasticsearch's aggregation capabilities, teaching students to analyze data using buckets, metrics, histograms, and time series charts, with emphasis on extracting meaningful insights from complex datasets. The final module covers Kibana for visualization, starting with installation and configuration, then progressing to creating interactive dashboards using Kibana Lens and Canvas. Throughout the course, practical exercises reinforce theoretical concepts, ensuring students develop hands-on skills applicable to real-world data challenges.
Importing Data into Your Index - Big or Small
Module 1 · 4 Hours to complete
Using Aggregation
Module 2 · 45 Minutes to complete
Using Kibana
Module 3 · 3 Hours to complete
Instructor
Enhancing IT Education Through Expert-Led Learning
Packt Course Instructors are dedicated to delivering high-quality educational content across a wide range of IT topics, offering over 5,000 eBooks and courses designed to improve student outcomes in technology-related fields. With a focus on practical knowledge, instructors leverage their industry expertise to create engaging learning experiences that help students grasp complex concepts and apply them effectively. The courses cover diverse subjects, from programming languages to advanced data analysis, ensuring that learners at all levels can find relevant resources to enhance their skills. Additionally, Packt emphasizes personalized learning paths and provides analytics tools for educators to monitor student engagement and success, making it a valuable partner in academic settings.
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