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Metamorphosis: The Evolution of Data Lakes into Structured Data Platforms (SDP)

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Metamorphosis: The Evolution of Data Lakes into Structured Data Platforms (SDP)

This is not limited to the cost of data collection and storage but extends to the effort of understanding and identifying the sources of corporate data and how they relate to each other. Data lakes do a great job of supporting “after the fact” analysis and reporting. However, they were not designed to address transactional/operational application needs such as 360 view, personalization, visibility, drill down to details ability, and in-context data insights.

This session will explore how to restructure the data in a DL based on an enterprise-wide canonical data model, then expose that model using standard, flexible, and scalable restful interfaces (governed by a solid User Access Control module). This approach is an extension of the customer 360 principles (which is what a CDP would offer) into a broader set of data elements and assets that are part of the enterprise canonical data model. We will also explore the enormous potential opportunities that can be unlocked for the enterprise.

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Tameem Bahri, CTA

Global Engineering Director, CRM, A.P. Moller-Maersk




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