Professional Certificate in Global Data Engineering Skills
-- ViewingNowThe Professional Certificate in Global Data Engineering Skills course is a critical program for those seeking to advance in the data engineering field. This course focuses on teaching essential skills required for designing, building, and managing efficient and scalable data systems.
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โข Data Engineering Fundamentals: Introduction to data engineering, data lifecycle, data architecture, and data storage systems.
โข Data Modeling and Design: Relational and NoSQL data models, data warehousing, dimensional modeling, and data vault concepts.
โข Data Processing Technologies: Batch and stream processing, ETL tools, and orchestration frameworks like Apache Airflow and AWS Step Functions.
โข Big Data Engineering: Hadoop ecosystem, Spark, Hive, Pig, and data lake implementation.
โข Cloud Data Engineering: AWS, Azure, and Google Cloud data engineering services, including S3, Redshift, Databricks, Azure Synapse, and BigQuery.
โข Data Integration Patterns: Data virtualization, data federation, ETL, ELT, and data replication.
โข Data Governance and Security: Data security, data privacy, data quality, data lineage, and data catalogs.
โข Data Pipeline Development: Designing, developing, and maintaining data pipelines using best practices, testing, and monitoring.
โข DevOps for Data Engineering: Continuous integration and delivery (CI/CD), version control, and infrastructure as code (IaC) using tools like Terraform and CloudFormation.
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