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Career Advancement Programme in Data Engineering for Big Data
-- ViewingNowData Engineering for Big Data: This Career Advancement Programme is designed for aspiring and current data professionals. It equips you with in-demand skills in cloud computing, data warehousing, and ETL processes.
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- Big Data Fundamentals and Architectures
- Data Warehousing and Data Lake Concepts
- Data Modeling and ETL Processes with Apache Spark
- Cloud-based Data Engineering with AWS or Azure (choose one)
- Database Management Systems (SQL and NoSQL)
- Data Pipelines and Workflow Orchestration (e.g., Airflow)
- Data Security and Governance in Big Data
- Advanced Analytics and Machine Learning Integration
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Career Role in Big Data & Data Engineering (UK) Description Data Engineer (Big Data, Cloud) Design, build, and maintain robust and scalable data pipelines using technologies like Hadoop, Spark, and cloud platforms (AWS, Azure, GCP).
High demand role.
Big Data Architect (Hadoop, Spark, Data Warehousing) Develop and implement the overall architecture for big data solutions, ensuring scalability, performance, and security.
Senior-level role with high earning potential.
Data Scientist (Machine Learning, Data Mining) Extract insights from large datasets using statistical methods and machine learning algorithms.
Strong analytical and programming skills required.
Cloud Data Engineer (AWS, Azure, GCP, Data pipelines) Build and manage data solutions on cloud platforms, leveraging their services for scalability and cost-effectiveness.
High growth area.
ETL Developer (Data Integration, Data Transformation) Develop and maintain Extract, Transform, Load (ETL) processes to move and transform data between various systems.
Essential for data warehousing and analytics.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
- EarlyCertificateDelivery
- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
- RegularCertificateDelivery
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