Data Engineering Best Practices
Architect robust and cost-effective data solutions in the cloud era
DLCreated by Richard J. Schiller, David Larochelle
Build your expertise in designing robust and cost-effective data solutions for the cloud. Learn proven best practices and design patterns to create scalable, secure, and future-ready data systems. Gain practical skills to solve real-world data engineering challenges with confidence.
Packt | Oct 2024 | 550 min
What You Will Learn
You will progress from foundational data engineering principles to advanced techniques using practical, real-world examples. Each concept is explained with clear guidance to help you avoid common pitfalls and apply best practices. By working through hands-on scenarios, you will develop the confidence to architect and implement high-performance data systems.
Key Features
- Design and optimize cloud-based data pipelines for scalability and efficiency
- Apply agile development processes to deliver reliable and adaptable data solutions
- Leverage serverless computing and microservices to build resilient data architectures
Target Audience
This content is ideal for data engineers, ETL developers, and big data professionals with a basic understanding of data engineering concepts and cloud technologies. If you want to deepen your skills in building scalable, agile, and secure data solutions, and are ready to tackle more advanced practices, you will find practical value here.
