The “Advanced Data Engineering & Architecture” course is tailored for professionals who wish to master the art of building scalable, efficient data solutions. You’ll delve into high-level concepts of data architecture, cloud-based data engineering, and machine learning integration. This course guides you through:
- Designing data architectures for scalability and efficiency.
- Understanding and implementing batch and stream processing.
- Developing advanced ETL (Extract, Transform, Load) pipelines.
- Integrating machine learning models into data flows.
- Ensuring data security and governance in engineering solutions.
With a mix of theoretical knowledge and practical exercises, you’ll finish this course ready to tackle the most complex data engineering challenges and lead data-driven initiatives in your organization.
Curriculum
- 3 Sections
- 6 Lessons
- 30 Hours
Expand all sectionsCollapse all sections
- Chapter 1: Data Engineering Foundations2
- Chapter 2: Data Processing at Scale2
- Chapter 3: The Future of Data Engineering2
Yes, it's designed to provide the latest best practices and innovations.
It includes comprehensive training on using cloud services for data engineering.
Requirements
- Intermediate knowledge in data engineering concepts and tools.
- Experience with cloud computing platforms and data processing.
Features
- Deep dive into data architecture principles.
- Modules on cloud-based data engineering solutions.
- Advanced data pipeline design and optimization.
Target audiences
- Experienced data professionals.
- IT architects and consultants.