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Explore a different approach to building data lakes without relying on clusters in this conference talk. Learn how to run and manage on-demand experiments from scratch in minutes using Azure Data Lake as an example. Discover the advantages of removing cluster maintenance and infrastructure costs from analytical work. Gain insights into storage and analytics, understanding data sources, and the complexities of traditional cluster-based infrastructures. Delve into Azure Data Lake Analytics, including Scope and Sequel, and witness a demonstration of Cognitive Extensions. Understand how to monitor jobs, integrate with Power BI, and avoid common rookie mistakes. By the end of this talk, grasp why this alternative approach to data lakes is worth considering for advanced analytics projects.
