New Dell Storage Solutions Aim to Improve Management of Big Data

Dell is introducing a new Big Data retention solution aimed at reducing the costs of retaining big data while helping to improve management for easy retrieval and analysis. Dell says its new Big Data retention solution is designed for organizations that leverage big data analytics to derive business value from their data. The solution integrates with existing analytics platforms as a front-end big data repository for large data sets or a back-end archive. It can also serve as a standalone repository or as an analytics platform with Hadoop. 

With this latest offering, Dell expands its portfolio of Big Data capabilities across the spectrum of ingest, storage, management, warehousing, and analytics. Customers can scale from efficient storage and retention, into more complex analytics like the Dell Cloudera management platform, Apache Hadoop Solutions based on Dell PowerEdge C- and R-series servers, Force 10 networks, and Dell Crowbar deployment toolkit.
Dell's Big Data retention solution combines Dell storage, including the DX Object Storage Platform, and RainStor database technology, to help reduce the cost of retaining big data through data reduction, simplified data management and scalability. The solution also includes Dell professional services to help customers enhance their current big data environment or create a new one that can scale to company demands and data growth.

The RainStor database provides online data retention at a massive scale, and can be deployed on any combination of Dell servers and storage, on premise or in a cloud configuration. When paired with the Dell DX Object Storage platform, the solution provides a single system for retaining structured, semi-structured and unstructured data across an unlimited number of data sources, formats and types, providing cost savings that can help improve the economics of big data retention.
According to Dell, much of the anticipated massive data growth is tied to automated systems that continuously create structured or semi-structured data that can be mined by data analytic programs to drive new discoveries and save money, yet the further adoption of big data analytics will ultimately place enormous demands on IT to change the way data is stored and managed.
“Not only are the volumes of data growing – so is its value to the organization,” says Darren Thomas, vice president and general manager, Dell Enterprise Storage. “Being able to cost-effectively capture and store all of the relevant data makes it possible to gain insights that support innovation and business value. The key is having the right data management solution to fluidly move data, tier it, dedupe it, protect it and archive it. To us, that means your data is fluid.”
Dell says its Big Data retention solution can provide an average data compression ratio of up to 40:1, freeing up disk space approximately 97%. The reduced footprint can accelerate query access for analytics. In addition, the solution leverages the capabilities of the Dell Fluid Data architecture, which enables these extreme data volumes to be efficiently accessed, moved and leveraged when and where needed.

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