Derive Value from Data Lakes Using Analytics Design Patterns

Analytics insights are the key to data lake value

Read this Gartner research report to learn about design patterns for implementing analytics on data lakes and steps your organization can take to get real value from data lakes today including how to:

  • Accommodate users' skills and preferences in ways that make it easiest for those users to adopt analytics.
  • Mix and match from four analytics design patterns to maximize the efficiency of extracting value from the data sources in the lakes.
  • Identify the right technologies to implement analytics and machine-learning designs in the context of the overall enterprise architecture.

Download the Gartner report “Derive Value from Data Lakes Using Analytics Design Patterns” to learn how you can use analytics to get value from your data lake.

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"Data and analytics leaders are feeling the pressure of rapidly increasing amounts of unprocessed data in data lakes. The challenge is in getting value from this data through analytics insights."*

*Derive Value From Data Lakes Using Analytics Design Patterns, by Svetlana Sicular, Joao Tapadinhas, and Cindi Howson; published 26 September 2017

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