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MapR is pleased to support our partner Cisco with today’s UCS S-Series launch. The Cisco UCS S-Series consists of storage-optimized servers configured for scale-out storage (both Software Defined Storage and Web-Scale Storage with MapR). The S-Series delivers storage for “Cisco Solutions for Data Intensive Workloads” which are end-to-end solutions that provide:
The Cisco UCS S-Series and Cisco Solutions for Data Intensive Workloads with MapR are designed for a number of workloads including:
The Cisco UCS S-Series is a modular platform for Data Intensive Workloads and can be configured as follows:
So how do MapR and Cisco UCS S-Series work together to support customers’ storage needs? First, let’s level-set on MapR’s storage capabilities within the MapR Data Platform:
MapR XD provides high performance enterprise-grade storage for big data
MapR XD is a POSIX file system that provides distributed, reliable, high performance, scalable, and full read/write data storage for the MapR Data Platform. MapR XD supports the HDFS API, fast NFS access, access controls (MapR ACEs), and transparent data compression. MapR XD includes enterprise-grade features such as block-level mirroring for mission-critical disaster recovery as well as load balancing, and consistent snapshots for easy data recovery.
Full Read/Write Access: With MapR XD, you get a complete POSIX file system that handles raw disk I/O for big data workloads. You can run it as an enterprise-wide NAS to run existing file system-based applications and systems. It supports:
Globally Scalable: You can deploy clusters that run on MapR XD throughout the world and benefit from the architectural innovations that enable speed and scalability advantages.
Enterprise-Grade Capabilities: In your business-critical environments, you need a platform with powerful yet easy-to-administer business continuity capabilities. MapR customers have run 99.9999% uptime with no data loss.
How might this shake out in the real world? Let’s consider the financial services market and look at a credit department example. The credit risk management department within a financial services organization is tasked with pulling together consumer and business data to determine a persons credit worthiness or risk. That’s a lot of data if you think about it – personal financial records (bank accounts, loans, payment histories, legal actions and more) combined with business data around that person’s financial actions (buying and paying history, credit reporting, applications for loans and more). Additionally, this data by definition is likely already tiered in some way. Some of it will be cold (+ 5 years aging, like an existing mortgage) and some will be warm (+2 years, a recent car loan) and some will be hot (current, missed monthly credit card payment). Clearly a very storage and data driven environment where a solution like MapR and the Cisco UCS S-Series would thrive to provide:
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