Building Scalable, Efficient Data Solutions with Real-World Applications
What you will learn
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Evaluate and select data architectures based on specific business needs and data characteristics.
Design data models and implement database strategies for structured and unstructured data.
Build scalable, fault-tolerant data pipelines using ETL/ELT processes and real-time data processing.
Implement cloud-based data solutions on AWS, Azure, and multi-cloud environments.
Differentiate between modern data architectures, including data lakes, warehouses, and lakehouses, for optimal data storage.
Apply best practices for data governance, security, and compliance within data architecture frameworks.
Analyze and choose appropriate data integration and management tools for hybrid and multi-cloud strategies.
Plan a career path from Data Engineer to Data Architect, including key skills and certifications.
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