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Business data are valuable assets to any organization and have both present and future value. Because of this, all data should be stored for future analysis. Today this is often not done because of the restrictions of traditional analytics infrastructure, like the pre-definition of schemas, the cost of storing large datasets and the propagation of different data silos. To address this challenge, the data lake concept was introduced as an enterprise-wide repository to store every type of data collected in a single place. For the purpose of operational and exploratory analytics, data of all types can be stored in a data lake prior to defining requirements or schema. Register to attend this complimentary webinar.
Tue, 14 Jun 2016 09:30:00 GMT (UTC)