Dell has released 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 (extract, transform and load).
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 Dell | Cloudera | Syncsort Data Warehouse Optimization – 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 announced the press release.
Traditional tools such as relational database management systems (RDBMS) and enterprise data warehouses (EDW), 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.
Murli Mohan, Director & GM, Dell Software Group, said, “Current business needs have changed drastically today. With customer and business requirements changing at a phenomenal pace, companies are looking at deriving most relevant insights at minimum cost and time. In order to address the challenge, Dell along with Cloudera and Syncsort has designed some of the most advanced big data and analytics solution which is much faster, easier and cost effective to implement. The primary objective behind designing the solution is to help companies capitalize on the benefits of ETL offload.”
