Six Guiding Principles for Effective Data Lake Pipelines

Data lakes have emerged as a primary platform on which data architects can harness Big Data and enable analytics for data scientists, analysts and decision makers. Analysis of a wide variety of data is becoming essential in nearly all industries to costeffectively address analytics use cases such as fraud detection, real-time customer offers, market trend/pricing analysis, social media monitoring and more.

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