Graduate Certificate in ETL Data Engineering
-- ViewingNowThe Graduate Certificate in ETL Data Engineering is a comprehensive course that addresses the growing industry demand for skilled data engineers. This program imparts essential knowledge and skills in ETL (Extract, Transform, Load) data engineering, enabling learners to design, build, and maintain robust data pipelines.
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โข Data Warehousing Foundations: Introduction to data warehousing concepts, data modeling, and dimensional modeling.
โข Extract, Transform, Load (ETL) Processes: Overview of ETL processes, data integration, and data quality management.
โข Data Integration Tools and Technologies: Hands-on experience with popular ETL tools and technologies such as Informatica, Talend, or AWS Glue.
โข Data Modeling and Design Patterns: Advanced techniques for data modeling, including data mart design, snowflake schema, and star schema.
โข Data Governance and Security: Best practices for data governance, security, and compliance in data engineering.
โข Big Data Processing Frameworks: Introduction to big data processing frameworks like Hadoop, Spark, and Flink.
โข Data Pipeline Development and Orchestration: Hands-on experience building and orchestrating data pipelines using Apache Airflow or similar tools.
โข Data Lake Architecture and Management: Principles of data lake architecture, data lake management, and data lake vs. data warehouse.
โข Data Quality Management and Monitoring: Techniques for data quality management, data profiling, and monitoring.
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