Certified Specialist Programme in Data Warehousing for Big Data
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CourseDetails
- Data Warehousing Fundamentals and Architectures
- Big Data Technologies and Hadoop Ecosystem
- ETL Processes and Data Integration for Big Data
- Data Modeling for Data Warehouses and Big Data (Dimensional Modeling, Snowflake Schema)
- Data Warehousing on Cloud Platforms (AWS, Azure, GCP)
- Business Intelligence and Data Visualization
- Data Governance and Security in Data Warehousing
- Performance Tuning and Optimization of Data Warehouses
- Data Quality and Cleansing Techniques
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Job Role (Data Warehousing & Big Data) Description Senior Data Warehouse Engineer Designs, develops, and maintains large-scale data warehouses, leveraging Big Data technologies for optimal performance and scalability.
Industry leading expertise required.
Big Data Architect Develops and implements robust and scalable Big Data architectures.
Expert in cloud technologies and data warehousing solutions.
Strong leadership skills are essential.
Data Warehouse ETL Developer Focuses on data extraction, transformation, and loading (ETL) processes, ensuring data quality and efficient movement to the data warehouse.
Proficiency in SQL and data integration tools.
Cloud Data Engineer (Big Data) Builds and manages cloud-based data warehousing solutions, utilizing services like AWS, Azure, or GCP for Big Data processing and storage.
Experience with cloud-native tools.
Data Analyst (Big Data Focus) Analyzes large datasets to extract meaningful insights and support business decision-making.
Strong analytical and communication skills, with experience in Big Data tools.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
- EarlyCertificateDelivery
- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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