White Paper: AI and Analytics - All Gold Taps but No Plumbing - Dr. Barry Devlin, 9sight

As data volumes, velocity and variety grew and analytics and artificial intelligence (AI) needs increased, a Hadoop-based data lake approach gained credence in the past ten years. Strongly driven by specific business-led big-data, analytical and, more recently, AI projects-gold taps-Hadoop open-source projects have been slow to address data governance and management requirements.  In this article by Dr. Barry Devlin of 9sight, you'll learn why:  

• Data lakes are not fit to maintain data quality and consistency needed for successful AI and analytics apps required for digital transformation  
• A modern enterprise data warehouse (EDW) is the key component of a high-quality infrastructure to support analytics and AI  
• Businesses should consider migrating workloads from Hadoop  

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