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Data Lakes

Dynamic Insights: Data Lakes


Data lakes, also called data hubs, offer a way to manage big data and make it available for analysis. A data lake combines massive storage capabilities for any type of data in any format with the processing power needed to transform and analyze the data. Often data lakes are implemented using Hadoop, object stores, data warehouse technology or a combination of these. They may be implemented on-premises, in the cloud or as a hybrid. In addition to handling volumes and varieties of information, data lakes enable faster access to information as it is generated. This dynamic insights research examines the state of data lake deployments in organizations’ big data processes today. Please answer the 13 questions below plus some demographic questions and you'll instantly receive our customized Dynamic Insights.