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Using a Data Lake Engine to Provide Self-Service Insights

January 20, 2022

Understanding and fulfilling customer needs is the key to business success, and customer data is the foundation upon which that success is built. Accessing and analyzing data is almost always dependent on data engineers and other IT staff, while decision-makers wait to receive insights. One way to skip the wait, and deliver data directly to end-users, is by creating an internal Data-as-a-Service (DaaS) model, enabling access to enterprise data no matter where it resides, without the assistance of IT staff.

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