Professional Certificate in Global Data Engineering Skills

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The 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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AboutThisCourse

With the rapid increase in data generation, data engineering has become a high-demand industry, with companies looking for skilled professionals to help them manage and analyze their data effectively. Through this course, learners will gain hands-on experience working with big data technologies, cloud services, and data orchestration tools. By completing this program, learners will be equipped with the skills necessary to design and implement end-to-end data solutions and advance their careers as data engineers. Overall, this course provides a comprehensive and industry-relevant curriculum that prepares learners for the challenges and opportunities in the rapidly evolving field of data engineering.

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CourseDetails

• Data Engineering Fundamentals: Introduction to data engineering, data lifecycle, data architecture, and data storage systems.
• Data Modeling and Design: Relational and NoSQL data models, data warehousing, dimensional modeling, and data vault concepts.
• Data Processing Technologies: Batch and stream processing, ETL tools, and orchestration frameworks like Apache Airflow and AWS Step Functions.
• Big Data Engineering: Hadoop ecosystem, Spark, Hive, Pig, and data lake implementation.
• Cloud Data Engineering: AWS, Azure, and Google Cloud data engineering services, including S3, Redshift, Databricks, Azure Synapse, and BigQuery.
• Data Integration Patterns: Data virtualization, data federation, ETL, ELT, and data replication.
• Data Governance and Security: Data security, data privacy, data quality, data lineage, and data catalogs.
• Data Pipeline Development: Designing, developing, and maintaining data pipelines using best practices, testing, and monitoring.
• 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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EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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  • NotAccreditedRecognized
  • NotRegulatedAuthorized
  • ComplementaryFormalQualifications

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CourseFee

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
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StandardMode GBP £90
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FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • FullCourseAccess
  • DigitalCertificate
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PROFESSIONAL CERTIFICATE IN GLOBAL DATA ENGINEERING SKILLS
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London College of Foreign Trade (LCFT)
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05 May 2025
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