This has been an exciting week. Further expanding its Big Data portfolio, Cisco has announced collaboration with Intel, its long term partner, for the next generation of open platform for data management and analytics. The joint solution combines Intel® Distribution for Apache Hadoop Software with Cisco’s Common Platform Architecture (CPA) to deliver performance, capacity, and security for enterprise-class Hadoop deployments.
As described in my blog posting, the CPA is highly scalable architecture designed to meet variety of scale-out application demands that includes compute, storage, connectivity and unified management, already being deployed in a range of industries including finance, retail, service provider, content management and government. Unique to this architecture is the seamless data integration and management integration capabilities between big data applications and enterprise applications such as Oracle Database, Microsoft SQL Server, SAP and others, as shown below:
The current version of the CPA offers two options depending on use case: Performance optimized -- offers balanced compute power with I/O bandwidth optimized for price/performance, and Capacity optimized – for low cost per terabyte. The Intel® Distribution is supported for both performance optimized and capacity optimized options, and is available in single rack and multiple rack scale.
The Intel® Distribution is a controlled distribution based on the Apache Hadoop, with feature enhancements, performance optimizations, and security options that are responsible for the solution’s enterprise quality. The combination of the Intel® Distribution and Cisco UCS joins the power of big data with a dependable deployment model that can be implemented rapidly and scaled to meet performance and capacity of demanding workloads. Enterprise-class services from Cisco and Intel can help with design, deployment, and testing, and organizations can continue to rely on these services through controlled and supported releases.
A performance optimized CPA rack running Intel® Distribution will be demonstrated at the Intel Booth at O’Reilly Strata Conference 2013 this week.
Tags: Big Data, Cisco UCS CPA, CPA, Hadoop, HBase, Intel, NoSQL
Our Common Platform Architecture (CPA) for Big Data has been gaining momentum as a viable platform for enterprise big data deployments. The newest addition to the portfolio is EMC’s new Pivotal HD™ that natively integrates Greenplum MPP database technology with Apache Hadoop enabling SQL applications and traditional business intelligence tools directly on Hadoop framework. Extending support for Pivotal HD on Cisco UCS, Satinder Sethi, Vice President at Cisco’s Datacenter Group said “Hadoop is becoming a critical part of enterprise data management portfolio that must co-exist and complement enterprise applications, EMC’s Pivotal HD is an important step towards that by enabling native SQL processing for Hadoop”.
Built up on our 3+ years of partnership with Greenplum database distribution and Hadoop distributions, the joint solution offers all the architectural benefits of the CPA including: Unified Fabric -- fully redundant active-active fabric for server clustering, Fabric Extender technology -- highly scalable and cost-effective connectivity, Unified Management -- holistic management of infrastructure through a single pane of glass using UCS manager, and High performance -- high speed fabric along with Cisco UCS C240 M3 Rack Servers powered by Intel® Xeon® E5-2600 series processors. Unique to this solution is the management integration and data integration capabilities between Pivotal HD based Big Data applications running on CPA and enterprise application running on Cisco UCS B-Series Blade Servers connected to enterprise SAN storage from EMC or enterprise application running on integrated solutions like Vblock.
The Cisco solution for Pivatol HD is offered as reference architecture and as Cisco UCS SmartPlay solution bundles that can be purchased by ordering a single part number: UCS-EZ-BD-HC -- rack level solution optimized for for low cost per terabyte and UCS-EZ-BD-HP -- rack level solution offers balance of compute power with IO bandwidth optimized for price/performance.
For more information see: Cisco Big Data SmartPlay Solution Bundles and Common Platform Architecture (CPA) for Big Data.
Cisco UCS Common Platform Architecture Version 2 (CPA v2) for Big Data with Pivotal HD and HAWQ
Tags: Big Data, Cisco UCS CPA, CPA, Greenplum, Hadoop, Pivotal, Pivotal HD
You may have heard that the digital universe is in petabytes, global IP traffic is in 100s of exabytes. These are mind bogglingly large metrics. Big data analytics can play a crucial role in making datasets in this space usable – by improving operational efficiency to customer experience to prediction accuracy. While Cisco is the global leader in networking -- Did you know that 85% of estimated 500 exabyte global IP traffic in 2012 will pass through Cisco devices ? – the company also builds an innovative family of unified computing products. This enables the company to provide a complete infrastructure solution including compute, storage, connectivity and unified management for big data applications that reduce complexity, improves agility, and radically improves cost of ownership.
To meet a variety of big data platform demands (Hadoop, NoSQL Databases, Massively Parallel Processing Databases etc), Cisco offers a comprehensive solution stack: the Cisco UCS Common Platform Architecture (CPA) for Big Data includes compute, storage, connectivity and unified management. Unique to this architecture is the seamless data integration and management integration capabilities with enterprise application ecosystem including Oracle RDBMS/RAC, Microsoft SQL Server, SAP and others. See Figure 1.
The Cisco UCS CPA for Big Data is built using the following components:
- Cisco UCS 6200 Series Fabric Interconnects provides high speed, low latency connectivity for servers and centralized management for all connected devices with UCS Manager. Deployed in redundant pairs offers the full redundancy, performance (active-active), and exceptional scalability for large number of nodes typical in big data clusters. UCS Manger enables rapid and consistent server integration using service profile, ongoing system maintenance activities such as firmware update operations across the entire cluster as a single operation, advanced monitoring, and option to raise alarms and send notifications about the health of the entire cluster.
- Cisco UCS 2200 Series Fabric Extenders, act as remote line cards for Fabric Interconnects providing a highly scalable and extremely cost-effective connectivity for large number of nodes.
- Cisco UCS C240 M3 Rack-Mount Servers, 2-RU server designed for wide range of compute, IO and storage capacity demands. Powered by two Intel Xeon E5-2600 series processors and support up to 768 GB of main memory (typically 128GB or 256GB for big data applications) and up to 24 SFF disk drives in the performance optimized option or 12 LFF disk drives in the capacity optimized option. Also features Cisco UCS VNIC optimized for high bandwidth and low latency cluster connectivity with support for up to 256 virtual devices.
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Tags: Big Data, Cisco UCS CPA, Cloudera, CPA, Greenplum MR, Hadoop, Hortonworks, MapR, MarkLogic, MPP Database, NoSQL, Oracle NoSQL Database, ParAccel, Pivotal HD
Expanding its Big Data portfolio, Cisco announced a fully integrated end-to-end hardware and software infrastructure for enterprise Hadoop deployments in partnership with Greenplum, a division of EMC, that delivers industry-leading performance, scalability, advanced management capabilities and enterprise-class service and support. This solution consists of Cisco UCS 6200 Series Fabric Interconnects, Cisco UCS C-Series rack mount servers and Greenplum MR. Greeplum MR is based on the MapR M5 distribution, a completely re-engineered implementation of the Apache Hadoop stack with 100 percent compatibility. Cisco UCS is the exclusive integrated platform for Greeplum MR that can significantly reduce time-to-value and the operating expenses associated with Hadoop implementations.
Hadoop implementations can present a number of challenges to enterprise environments, many of these arise from the dichotomy between the introduction of innovative new technology and the enterprise-class performance, reliability, and support demanded by mission-critical systems. The collaboration between Cisco and Greenplum is specifically designed to provide a solution to these challenges. The joint solution delivers radically simplified deployment and management, high availability, excellent performance, exceptional scalability, and world-class service and support from long-time collaborators Cisco and EMC.
This solution can also connect, across the same management plane, to other Cisco UCS deployments running enterprise applications, thereby radically simplifying data center management and connectivity.
The configuration starts in a single rack with the ability to extend into multiple racks.
For more information or deal inquiries, please email us at: email@example.com. A joint white paper is available at http://www.cisco.com/en/US/solutions/collateral/ns340/ns517/ns224/ns944/wp_greenplum.pdf.
Tags: Big Data, Cisco UCS CPA, CPA, Greenplum MR, Hadoop, MapR