Data Lake Levels Are Rising—Time For Better Data Lake Analytics
Which analytics architecture pattern is right for you?
Whether you’ve already deployed a data lake or not, 2018 is the year of creating a path to value. It’s time to get the most out of your data with a design pattern that suits your business needs. But there isn’t one data lake architecture that works for everyone.
Gartner has put together a report with architecture recommendations that take into account teams’ technical prowess, level of user access, need for flexibility, and data source requirements.
Get the Gartner report “Derive Value From Data Lakes Using Analytics Design Patterns”. You’ll discover:
- Four, unique architecture design patterns for your data lake
- How each of these architectures affect the business user and technical user
- Why restructuring is necessary based on Gartner’s view of strategic planning
*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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