Solution that Simplifies Big Data Processes for New Hadoop Users

Dell, Cloudera and Syncsort co-designed a solution that streamlines the process of transforming data from disparate sources, and allows customers to deploy data transformation jobs more efficiently

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According to Gartner, through 2018, 70 percent of Hadoop deployments are predicted to fail to meet cost savings and revenue generation objectives due to skills and integration challenges. Dell announced a new solution for Hadoop, co-designed with Cloudera and Syncsort and powered by Intel, that streamlines the planning, design, construction and deployment process of transforming data into a ready state for analysis, then loading it for business reporting or for querying; a process known as ETL. Many customers want to adopt big data and analytics technologies to gain operational efficiency, yet Hadoop expertise may be difficult to find, creating an industry-wide skills gap. This inhibits businesses from performing these tasks without major disruption to their IT staff and environment, including paying costly consulting fees or dedicating extensive time and resources to training. To address this problem, the ETL Offload Reference Architecture helps achieve faster insights in an intuitive way without needing to learn new skillsets, hire additional resources, or retool IT environments. Traditional tools such as RDBMS and enterprise data warehouses, are not meeting the requirements of today’s business needs due to high costs, low performance and a lack of scalability. As customers’ needs continue to evolve, they are moving past general architectures in search of vendors who can provide use case driven, end-to-end solutions that fit their business needs now and into the future.



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