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.
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.
The so-called “data deluge” shows no signs of abating anytime soon. Facebook, for example, has more than 2.5 billion pieces of content and ingests more than 500 terabytes of new content daily. Mobile devices are driving this growth of data. The global proliferation of devices estimated to reach 10 billion by 2017—or 1.4 times the number of people on the planet. As a result mobile-data traffic is exploding. The recently released Cisco Visual Networking Index (VNI) predicts that global mobile-data traffic will increase 13-fold from 2012 to 2017, reaching 11.2 exabytes per month.
But along with the challenges inherent to this tsunami of data, opportunities abound for monetizing and optimizing information. All of those new mobile consumers—in developed and emerging markets alike—will demand enhanced Connected Life experiences that will be newer, better, and more personalized. Data is the “new oil” that will fuel this opportunity. Networks and the Internet have a critical role to play in the future of Big Data. First, they are the collectors and disseminators of data, gathering it from the millions of Internet-enabled devices, applications, and sensors, then storing it in the right place for analysis and further action. Second, they are creators of critical information on location, presence, device type, application, and more. Read More »
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.
Mobile carriers face no shortage of pain points as new data streams create unprecedented and staggering amounts of information. But it is important to remember that pain points often arrive in tandem with new opportunities.
From my perspective, observing the driving forces shaping the mobile industry, five key trends stand out. All are laced with challenges and opportunities. And each represents a core element in an interconnected system that is pushing the entire marketplace forward, while demanding innovative breakthroughs in monetizing and optimizing data.
On February 25-28, I will be attending Mobile World Congress 2013 in Barcelona. This year’s event is expected to be the largest ever, with 1,500 exhibitors. I expect these five trends will be major sources of discussion:
Video. We are already seeing the true inflection point in video where it becomes mainstream on multiple devices. The mobile and nomadic consumption of video—whether served by mobile carriers or localized Wi-Fi—is popular, commonplace, and growing rapidly. But video will completely reshape the demand side of the industry, creating enormous amounts of data. It threatens to load and clog networks, and it will demand new models for monetization.