Hadoop is a Game Changer ! Cisco and MapR have partnered to offer a comprehensive portfolio for enterprise Hadoop deployments that combines Cisco UCS and the MapR Distribution for Apache Hadoop. With significant investments in architectural innovations, the joint solution offers a high-performance platform that can be optimized and scaled for any size to meet the demanding needs of our customers. Today, we are announcing the 3rd generation of our joint solution:
Based on Cisco UCS Integrated Infrastructure for Big Data – extending our vision of Integrated Infrastructure to help organizations deploy and scale applications faster to drive the revenue side of the business, while reducing risks and TCO
Taking full advantage of the high performance compute, internal storage and active-active network fabric with crucial investments in MapR improving performance and scalability while maintaining the Apache Hadoop API and application compatibility for broad applicability
Foundation for an enterprise data hub with support of multi-tenancy out-of-the-box–ensuring application level SLA, guarantee isolation, enforce quotas, job placement control, security and delegation as well as providing a low cost of operations and simpler manageability with UCS Manager and the MapR control system
Fully automated provisioning and deployment of a cluster with Cisco UCS Director Express for MapR with a single management pane across both physical infrastructure and Hadoop software, with advanced application-level monitoring
Scalability to very larger clusters with Cisco Application Centric Infrastructure, enabling multi-tenancy, policy-based flowlet switching, packet prioritization to deliver- throughput on demand, leading-edge load balancing across UCS domains.
There’s no question that the Internet of Everything (IoE) and all of the data it generates will revolutionize core business functions. The challenge today is how to prepare your organization so it can get the most benefit from the arrival of IoE connectivity and big data. One approach is to look at the IoE opportunity in two parts: Evaluating use cases (discussed in this post) and defining the information architecture (covered in an upcoming Part 2). Read More »
As someone who has spent his career developing a deep knowledge of manufacturing and software, I’m rapidly becoming a major “fan” of 3D printing. The technology offers exciting possibilities that can radically change multiple industries including manufacturing. According to Industry Week, “a survey by the global consultancy PwC found that 67% of manufacturers are adopting 3-D printing in some way, most frequently in prototyping.” At the same time, ubiquitous 3D printing introduces new complexities around intellectual property ownership, counterfeiting and diversion issues that we’ve yet to fully confront.
3D printing has the potential to globally disrupt multiple industrial processes and supply chains. In the case of manufacturing on an assembly line, parts or products can be created through 3D printing on-site, potentially eliminating the need for separate parts suppliers. Take a look at how one leading industrial company, GE Aviation, is leveraging additive manufacturing in the video below.
I’ve heard it said that CIO’s like their ERP systems the same way they like their cars: big, fast and German. Setting nationalities aside, IT pros craving more horsepower for something like SAP HANA need look no further than our UCS B460 M4 and C460 M4 servers, which now supports Intel’s new Xeon E7v3 processor family.
You may wonder why news like this is this important in an age where hardware is so often taken for granted. The answer is speed, in two flavors:
Organizations across the spectrum are working to become intelligence-driven throughout their operations, in real time, in order to create a perpetual and renewable competitive edge. Taking a long-term view in choosing the right infrastructure accomplish this important. Here are two reasons why:
You never hear about an analytic environment getting smaller. Massive increases in data volume mean these environments inevitably grow. For many, this will mean continuously expanding clusters of hundreds or thousands of servers for scale-out big data apps and bringing in ever-larger systems for the scale-up, in-memory analytics.
Data is the lifeblood of the digital enterprise. As the use of big data becomes pervasive and critical to day-to-day decision-making, the performance and predictability of these computing platforms will become increasingly paramount to success. So too will be the speed at which they can be deployed and expanded. You want to choose partners and technology you can trust.