Professional Certificate in Global Data Engineering Essentials
-- ViewingNowThe Professional Certificate in Global Data Engineering Essentials is a vital course for those interested in data engineering and digital transformation. With the increasing demand for data-driven decision-making, there is a high industry need for professionals with expertise in data engineering.
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โข Data Engineering Fundamentals: Introduction to data engineering, data lifecycle, data storage options, data processing systems
โข Data Modeling and Database Design: Relational and NoSQL databases, data modeling techniques, database normalization, designing scalable database systems
โข Big Data Processing Frameworks: Hadoop ecosystem, Spark, Flink, data processing patterns, ETL processing
โข Data Orchestration Tools: Apache Airflow, AWS Step Functions, Google Cloud Composer, Azure Data Factory, Luigi, data pipeline management
โข Cloud Data Engineering: Cloud data services (AWS, Azure, GCP), data lake architecture, serverless data processing, data security, and compliance
โข Data Streaming and Real-time Analytics: Streaming platforms (Kafka, Kinesis, Pub/Sub), real-time analytics, event-driven architectures
โข Data Integration and Interoperability: Data integration patterns, ETL vs ELT, data quality, data governance, data virtualization
โข Data Engineering Best Practices: DevOps for data engineering, version control, testing, monitoring, and alerting
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