Mastering the Art of Data Pipelines
Data Engineering is the backbone of any successful data strategy. This specialization equips you with the knowledge and skills to design, build, and maintain robust and scalable data systems. Learn how to collect, transform, and store data efficiently, enabling data scientists and analysts to derive valuable insights.
What You'll Learn
- Fundamentals of data warehousing and data lakes
- ETL/ELT processes and tools (e.g., Apache Spark, Airflow)
- Database design and management (SQL and NoSQL)
- Cloud data platforms (AWS, Azure, GCP)
- Data modeling techniques for various use cases
- Building real-time data streaming pipelines
- Data governance, security, and quality best practices
- Introduction to distributed systems and big data technologies
Career Opportunities
- Data Engineer
- Big Data Engineer
- ETL Developer
- Cloud Data Architect
- Analytics Engineer
- Data Platform Specialist
Key Skills Developed
Hands-on Projects
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Building a Batch ETL Pipeline
Design and implement an ETL pipeline to process and load sales data from various sources into a data warehouse.
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Real-time Data Streaming
Develop a streaming application using Kafka and Spark Streaming to process clickstream data in real-time.
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Cloud Data Lake Architecture
Set up and manage a data lake on AWS S3, integrating with Athena for querying unstructured data.
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Ready to Engineer the Future of Data?
Join our Data Engineering Specialization and become an in-demand professional in the tech industry.
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