Professional Certificate in Global Data Engineering Essentials

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The 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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This certificate course equips learners with essential skills in data engineering, including data processing, data warehousing, and data pipeline development. Learners will gain hands-on experience with tools and technologies such as Apache Kafka, Apache Spark, and Amazon Redshift. By completing this course, learners will be able to design and implement data engineering solutions that meet the needs of modern businesses. This certificate course is an excellent opportunity for career advancement, as data engineering skills are in high demand across various industries. In summary, the Professional Certificate in Global Data Engineering Essentials is a comprehensive course that provides learners with the skills and knowledge required to succeed in a data engineering role. With the increasing industry demand for data engineering expertise, this certificate course is an excellent investment in your career development.

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โ€ข Data Engineering Fundamentals: Introduction to data engineering, data lifecycle, data storage options, data processing systems
โ€ข Data Modeling and Database Design: Relational and NoSQL databases, data modeling techniques, database normalization, designing scalable database systems
โ€ข Big Data Processing Frameworks: Hadoop ecosystem, Spark, Flink, data processing patterns, ETL processing
โ€ข Data Orchestration Tools: Apache Airflow, AWS Step Functions, Google Cloud Composer, Azure Data Factory, Luigi, data pipeline management
โ€ข Cloud Data Engineering: Cloud data services (AWS, Azure, GCP), data lake architecture, serverless data processing, data security, and compliance
โ€ข Data Streaming and Real-time Analytics: Streaming platforms (Kafka, Kinesis, Pub/Sub), real-time analytics, event-driven architectures
โ€ข Data Integration and Interoperability: Data integration patterns, ETL vs ELT, data quality, data governance, data virtualization
โ€ข Data Engineering Best Practices: DevOps for data engineering, version control, testing, monitoring, and alerting

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PROFESSIONAL CERTIFICATE IN GLOBAL DATA ENGINEERING ESSENTIALS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London College of Foreign Trade (LCFT)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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