Advanced Certificate in Data Lakes: Scalable Repositories
-- viewing nowThe Advanced Certificate in Data Lakes: Scalable Repositories is a comprehensive course designed to equip learners with the skills necessary to design, build, and manage large-scale data repositories. This course is essential for professionals seeking to advance their careers in data engineering, analytics, and related fields.
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Course Details
• Data Lakes Architecture: Designing scalable data repositories for big data storage and processing.
• Data Ingestion Techniques: ETL, ELT and streaming for filling data lakes.
• Cloud-based Data Lakes: Implementing data lakes using AWS, Azure, or Google Cloud.
• Data Lake Security: Implementing authentication, authorization, and data protection policies.
• Data Governance: Establishing data quality, metadata management, and data lineage practices.
• Big Data Processing with Hadoop: HDFS, MapReduce, Spark, and Hive.
• Data Warehousing vs. Data Lakes: Comparison of data lake and data warehouse architectures and best use cases.
• Machine Learning and Data Lakes: Using data lakes to support machine learning and AI applications.
• Data Lake Monitoring and Maintenance: Techniques for monitoring and maintaining data lake performance and scalability.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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