Course of Spark: Best Practices and Deployment
Learn how to take Spark to production by following best practices in deployment.
💸 First lesson available without registration 💸**
The real challenge when working with Apache Spark is not just to write functional code but to do it efficiently, tested, and production-ready.
In this course, you will discover how to apply good practices in the development, testing, and deployment of Spark, ensuring optimal performance in real environments.
Among other things, in the course we cover:
- 🎉 Introduction and local environment: Set up your environment and get an overview of the key topics we will cover.
- ✅ Testing in Apache Spark: Learn how to design and execute effective tests to ensure the quality of your Spark applications.
- 💨 Query Optimization: Understand the inner workings of Spark and how to apply techniques to improve the efficiency of your queries.
- 🎸 Spark Deployment: Discover the essential concepts for configuring and deploying Spark in production environments.
- 🌩️ Performance Analysis with Grafana: Learn to integrate Spark with tools like Grafana to monitor and optimize the performance of your applications.
- 🚀 Production Deployment: Master the necessary steps to bring a Spark cluster from development to production.
- 🔜 Conclusion and Next Steps: Define your action plan to implement these practices in real projects.
This course is ideal for developers looking to professionalize their use of Spark, ensuring efficient, maintainable, and production-ready solutions.

Videos of the course
- 🛋️ Make Your Spark Code Testable: Initial Refactor Isolating Business Logic
- 🫠 Validate that Your Application Does What You Expect Automatically: End-to-End Tests with Apache Spark
- 🤏 Unit Tests in Spark: Avoid Triggering Your Build Time
- 🤔 Let’s Review!
- 🛠 Let’s Practice! Creating Unit Tests for Our Transformations
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