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Business users are continuously envisioning new and innovative ways to use data for operational reporting and advanced analytics. The Data Lake, a next-generation data storage and management solution, was developed to meet the ever-evolving needs of increasingly savvy users.
This white paper explores existing challenges with the enterprise data warehouse and other existing data management and analytic solutions. It describes the necessary features of the Data Lake architecture and the capabilities required to leverage a Data and Analytics as a Service (DAaaS) model. It also covers the characteristics of a successful Data Lake implementation and critical considerations for designing a Data Lake.

Managing the quality of data within an enterprise has become increasingly important due to a number of key business drivers:
• Competitors with better quality information and analytics
• Customers and clients who demand better-informed product and service providers
• Legal and compliance requirements that continue to grow
• Strategic business objectives to increase the ROI of data assets