By Henky Agusleo, Vertical Manager, and Neeraj Arora, Director, IBSG Service Provider – Singapore
A rapidly expanding, tech-savvy middle class is driving an explosion of connected mobile devices, with close to a billion smartphones and tablets in the world today. These users are looking for new cloud-based “Connected Life” experiences from their mobile devices, creating tremendous opportunities for service providers (SPs). The key is in mobile cloud. The Cisco® Internet Business Solutions Group (IBSG) projects a direct worldwide mobile-cloud service opportunity of more than $60 billion by 2016, with an additional cloud pull-through market of $335 billion.
But so far, service providers have not taken the lead in offering cloud-based Connected Life services. That claim belongs to over-the-top (OTT) application developers, content providers, and device manufacturers, such as Google and Apple, who have moved quickly to take the high ground in this market.
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 »
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.
When customers look to deploy their Hadoop solutions, one of the first questions they ask is, which distro should we run it on? For many enterprise customers, the answer has been MapR. For those of you not familiar with MapR, they offer an enterprise-grade Hadoop software solution that provides customers with a robust set of tools for running Big Data workloads. A few months ago, Cisco announced the release of Tidal Enterprise Scheduler (TES) 6.1 and with it integrations for Hadoop software distributions, such as Cloudera and MapR, as well as adapters to support Sqoop, Data Mover (HDFS), Hive, and MapReduce jobs. All performed through the same TES interface as their other enterprise workloads.
Today, I’m pleased to announce that with the upcoming 6.1.1 release of Cisco’s Tidal Enterprise Scheduler, Cisco’s MapR integration will deepen further. Leveraging Big Data for competitive advantage and rises in innovative product offerings are changing the storage, management, and analysis of an enterprise’s most critical asset -- data. The difficulty of managing Hadoop clusters will continue to grow and enterprises need solutions like Hadoop to enable the processing of large amounts of data. Cisco Tidal Enterprise Scheduler enables more efficient management of those environment because it is an intelligent solution for integrating Big Data jobs into an existing data center infrastructure. TES has adapters for a range of enterprise applications including: SAP, Informatica, Oracle, PeopleSoft, MSSQL, JDEdwards, and many others.
Stay tuned for additional blog posts on Cisco’s Tidal Enterprise Scheduler version 6.