Big Data visualization for Games using Elastic stack
Udemy Coupon Code for Big Data visualization for Games using Elastic stack Course. Learn how to generate, process, and visualize Game Dev logs using Elastic Stack with an example of Unreal Engine 5
Created by Viacheslav Makhynko | 4.5 hours on-demand video course
Big Data visualization Course Overview
Big Data visualization for Games using Elastic stack
Welcome to Big Data Visualization for Games using Elastic Stack! This course is your gateway to mastering data-driven insights for game development using the Elastic Stack (ELK). Whether you’re a Data Analyst, QA Engineer, Tech Lead, Pipeline Architect, Automation/DevOps Engineer, or a Tech Artist, this course is designed to equip you with the practical skills to process, analyze, and visualize game data for improved development workflows and decision-making.
This course is fully practical (similar to my Python-related courses) where most of the time you’re attending workshops with various challenges rather just watching raw-slides lectures. As a source of our game logs throughout the course we will be using Unreal Engine 5 with its Sample Project Stack-O-Bot to mimic the real-world data and meaningful metrics for analysis.
What you’ll learn
- Learn how to generate, process and analyze logs created during the game development process with Elastic Stack
- Utilize Elastic stack (Elasticsearch, Logstash, Kibana) to process game development logs
- Build Kibana Dashboard with insightful widgets representing Session, Location and Performance game data
- Integrate Unreal Engine 5 Game World map to Kibana Visualization
- Use Python to interact with Elasticsearch
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Big Data visualization Course Reviews
Everything You Need to Know About Big Data visualization for Games using Elastic stack
This course offers a comprehensive and well-structured introduction to Big Data, the instructor, brings a wealth of expertise in Development, making this course both informative and engaging.
The course structure is easy to follow. Each section, for example, covers a different aspect of Data visualization Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.
Moreover, The Instructors explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.
What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.
Another standout feature is the platform itself. Udemy offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.
In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.
Overall, I highly recommend the Big Data visualization for Games using Elastic stack to anyone looking to learn Big Data This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.
