WHITE PAPER:
Discover how integrated, end-to-end Hadoop solutions from Dell can help organizations of all sizes meet their big data requirements, reduce development costs and more.
WHITE PAPER:
The following white paper explores the current market need for higher performance analytics and introduces an all-inclusive analytics solution that can handle complex environments, big data growth, and scalability. Read on to learn how you can gain better actionable insights, save capital, and more.
WHITE PAPER:
This resource examines how big data analytics is helping communications service providers (CSPs) to better understand customer behaviors, drive customer loyalty, and improve experiences. Inside, discover an enterprise-grade infrastructure designed for big data workloads.
WHITE PAPER:
This resource introduces a tool for enterprise-wide information search, navigation, and discovery, which can help your organization harness and optimize growing data volumes.
WHITE PAPER:
Access the following white paper to learn how data visualization can drastically improve how well a company can handle data. Learn how visualization can help dig deeper into data, grant an improved market presence, and more.
WHITE PAPER:
This technical white paper describes the deployment of Intel® Distribution for Apache Hadoop on Dell PowerEdge Servers. Read on to learn how to streamline Hadoop implementation, optimize big data management, and more.
WHITE PAPER:
In this resource, discover how big data analytics, paired with the right asset management software, can help you improve facilities and asset management, increase operational efficiency, and generate more revenue.
WHITE PAPER:
This resource examines the roles that information integration and governance play in today's big data world, and offers key recommendations to help you realize the full value of your information and improve business outcomes.
WHITE PAPER:
This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
