Advanced Certificate in Data Lakes: Scalable Repositories
-- ViewingNowThe 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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โข Data Lakes Architecture: Designing scalable data repositories for big data storage and processing.
โข Data Ingestion Techniques: ETL, ELT and streaming for filling data lakes.
โข Cloud-based Data Lakes: Implementing data lakes using AWS, Azure, or Google Cloud.
โข Data Lake Security: Implementing authentication, authorization, and data protection policies.
โข Data Governance: Establishing data quality, metadata management, and data lineage practices.
โข Big Data Processing with Hadoop: HDFS, MapReduce, Spark, and Hive.
โข Data Warehousing vs. Data Lakes: Comparison of data lake and data warehouse architectures and best use cases.
โข Machine Learning and Data Lakes: Using data lakes to support machine learning and AI applications.
โข Data Lake Monitoring and Maintenance: Techniques for monitoring and maintaining data lake performance and scalability.
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