The Transaction Processing Performance Council today announced its fifth international Conference on Performance Evaluation and Benchmarking (TPCTC 2013). I’ve the great privilege of chairing TPCTC series since 2009. This year’s conference will be collocated with the 39th International Conference on Very Large Data Bases (VLDB 2013) on August 26, 2013 in Riva del Garda, Italy. With this conference we are encouraging researchers and industry experts to submit ideas and methodologies in performance evaluation, measurement and characterization. Additional information on TPCTC 2013 is available online at http://www.tpc.org/tpctc/tpctc2013/.
Cisco and NetApp have been partners for over a decade, and in January we announced the planned expansion of our partnership. We are always looking to work with our partners in new ways to offer customers greater choice, and Cisco and NetApp are working toward delivering a complete platform for enterprises in data-intensive industries with business-critical SLAs. The solution will offer pre-sized storage, networking, and compute in a highly reliable, ready-to-deploy Hadoop stack, and it is planned to be generally available summer 2013. But, who can wait until summer?! I know we can’t, so we’re going to offer a demo of the joint reference architecture at Cisco Live! Melbourne March 5-8, and we hope you’ll stop by to check it out!
To give you more information on the solution — it will be pre-validated for enterprise Hadoop deployments built using 6296 Fabric Interconnects (connectivity and management), a pair of Nexus 2232s, C220 M3 Servers (compute) and NetApp E5400 and FAS 2240 series storage arrays. Following the -- highly successful -- FlexPod model of pre-sized rack level configurations, this solution will be made available through the well-established FlexPod sales engagement and channel. Field sales and partners from both companies will resell the solution upon general availability.
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.
1. Cisco UCS with the Intel Distribution for Apache Hadoop -- Solution Brief
2. Cisco’s Common Platform Architecture (CPA) for Big Data
3. Paul Perez and Boyd Davis on Cisco and Intel Partnership on Big Data (Video)
4. Cisco and Intel Announcement -- blog by Didier Rombaut
5. Intel Guest Blog
Today Paul Perez, Vice President and CTO of Cisco’s Data Center Group joined on stage downtown San Francisco Boyd A. Davis, Intel Architecture Group Vice President and GM, Data Center Software Division to announce a proposed extension of the alliance between Cisco and Intel into Big Data .
Over the past months, our readers had the opportunity to appreciate the growing investment of Cisco in this market frequently articulated by our experts Raghunath Nambiar and Jacob Rapp through blog postings and speaking at industry events.
Cisco and Intel have worked together for years to deliver enterprise solutions that improve performance and enable organizations to deliver new services. As we have stated several times recently , Intel has been a critical partner and significant contributor to the phenomenal success of the Cisco UCS. So it will not come as a surprise to anybody that Cisco and Intel are looking to partner again to offer you a leading Big Data solution.
In this video, Cisco Paul Perez and Intel Boyd Davis explained how Cisco will support the Intel distribution of Apache Hadoop on UCS, and how both companies intend to collaborate to address the growing Big Data needs of our joint customers.
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.