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This course introduces the fundamentals of designing, building, and managing scalable data lakes using Amazon Web Services (AWS). Learners will explore core AWS analytics services, architecture best practices, data governance, security, and cost optimization.
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Introduction to Designing Data Lakes on AWS provides a foundational understanding of how organizations can store, process, and analyze large volumes of structured and unstructured data using AWS cloud services. The course covers key concepts such as data lake architecture, ingestion, storage, processing, security, and governance using services like Amazon S3, AWS Glue, Amazon Athena, and Amazon Redshift. By the end, learners will be equipped with practical knowledge to design efficient and scalable data lake solutions.
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The trainer for this Introduction to designing Data Lakes on AWS Training has extensive experience in this domain, including years of experience training & mentoring professionals.
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