Huge amounts of information are flooding companies every second, which has led to an increased focus on big data and the ability to capture and analyze this sea of information. Enterprises are turning to big data and Apache Hadoop in order to improve business performance and provide a competitive advantage. But to unlock business value from data quickly, easily and cost-effectively, organizations need to find and deploy a truly reliable Hadoop infrastructure that can perform, scale, and be used safely for mission-critical applications.
As more and more Hadoop projects are being deployed to provide actionable results in real-time or near real-time, low latency has become a key factor that influences a company’s Hadoop distribution choice. Thus, performance and scalability should be evaluated closely before choosing a particular Hadoop solution.
The raw performance of a Hadoop platform is critical; it refers to how quickly the platform can ingest, process and analyze information. The MapR Distribution for Hadoop in particular provides world-record performance for MapReduce operations on Hadoop. Its advanced architecture harnesses distributed metadata with an optimized shuffle process, delivering consistent high performance.
The graph below compares the MapR M7 Edition with another Hadoop distribution, and it vividly illustrates the vast difference in latency and performance between these Hadoop distributions.
One particular solution that is optimized for performance is Cisco UCS with MapR. MapR on the Cisco Unified Computing System™ (Cisco UCS®) is a powerful, production-ready Hadoop solution that increases business and IT agility, supports mission-critical workloads, reduces total cost of ownership (TCO), and delivers exceptional return on investment (ROI) at scale.
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Tags: Big Data, blade server, Blade Servers, Cisco UCS, Cisco UCS C240 M3 Rack Server, Cisco Unified Computing System, Cisco Unified Data Center, Cisco Unified Fabric, Hadoop, MapR, rack server, UCS Central, UCS service profiles
Previously, we saw how Boeing division (BDS) and University of Siegen have deployed Multi-hop FCoE and realized significant benefits. This blog highlights similar benefits achieved by Engineering Shared Infrastructure Services (ESIS) department at Netapp.
Netapp’s ESIS department delivers and maintains end-to-end compute, storage, and network resources for internal Development and Quality Assurance engineers. These resources provide a platform for the innovation that creates storage systems and software, ultimately empowering NetApp customers around the world to store, manage, protect, and retain their data. The requirement was to have agility and versatility in providing storage connectivity between rack/blade Cisco UCS servers and NetApp clustered Data ONTAP storage arrays.
So, Netapp ESIS implemented an integrated model using Cisco Unified Fabric that supports FCoE from the UCS Servers through the Nexus Series Switches all the way to NetApp storage controllers.
This Unified Fabric architecture reduced the number of management points and provided easy scalability. The TCO benefits were quite significant -- Netapp saved $300K in the hardware costs, more than $80,000 in the implementation costs and 1/3 of an FTE’s time Read More »
Tags: Cisco Unified Fabric, convergence, FCoE, Multihop, Storage
With enough hype to rival even the most popular of Superbowl’s, Big Data experts will converge on New York City in just a couple weeks! But big data has good reason for all the hype as businesses continue to find new ways to leverage the insights derived from vast data pools that are continuing to grow at an exponential rate. A big reason for this is the ability to leverage Hadoop with the Hadoop Distributed File System and MapReduce functionality to analyze the data very quickly and provide incredibly fast queries that, although not even possible previously, can now be accomplished in minutes or less. We’ve only just begun to scratch the surface in terms of the financial returns made around Hadoop and the infrastructure to support Hadoop deployments but one thing we do know, it’s going to be big and it will continue to get bigger!
So how does Cisco fit into this picture?
Cisco is partnering with leading software providers to offer a comprehensive infrastructure and management solution to support customer big data initiatives including Hadoop, NoSQL and Massive Parallel Processing (MPP) analytics. Leveraging the advantages of fabric computing, the Cisco UCS Common Platform Architecture (CPA) delivers exceptional performance, capacity, management simplicity, and scale to help customers derive value more quickly and with less management overhead for the most challenging big data deployments.
Cisco UCS Common Platform Architecture for big data enables rapid deployment, predictable performance, and massive scale without the need for complex layers of switching infrastructure. In addition, the architecture offers unique data and management integration with enterprise applications hosted on Cisco UCS. This allows big data and enterprise applications to co-exist within a single management domain that simplifies data movement between applications and eliminates the need for unique technology silos in the data center. You can also check out my previous blog, Top Three Reasons Why Cisco UCS is a Better Platform for Big Data, to get an idea of what we’ll be sharing at the show.
Have you considered Cisco UCS for your Big Data projects? I’d like to invite you to come and hear more in a couple weeks at Strata Hadoop World in New York City. We’ll have a number of demos and experts on hand to answer all of your questions.
In addition, Cisco and Cloudera are teaming up to offer you a chance to win some exciting prizes by joining our demo crawl program. Stop by either the Cisco booth (#3) or the Cloudera booth (#403) to learn more.
Stop by and say hello and let me know if you have any comments or questions, or via twitter at @CicconeScott.
Tags: Big Data, blade server, Blade Servers, Cisco UCS, Cisco Unified Computing System, Cisco Unified Data Center, Cisco Unified Fabric, Cisco Unified Management, Cloudera, Hadoop, Hortonworks, Intel, MapR, rack server, UCS Manager, UCS service profiles
Big Data has become mainstream as businesses realize its benefits, including improved operation efficiency, better customer experience, and more accurate predictions. However, companies are often challenged by the complexities of traditional server solutions.
In this webinar, learn how to unlock the value of Big Data with the Cisco Unified Computing System (Cisco UCS). Cisco UCS delivers the performance, capacity, management simplicity, and scale that businesses need to increase agility, speed time to value, and deliver a competitive advantage to increase revenue.
Our one-hour technical presentations will demonstrate how to build elements of the Cisco Unified Data Center platform. We will show you how to design your infrastructure and management for traditional and virtualized environments. You’ll also learn about available services to help deliver it.
To attend, please click the “ATTEND” link below:
Hope you can join us and let me know if you have any comments or questions, or via twitter at @CicconeScott.
Tags: Big Data, blade server, Blade Servers, Cisco UCS, Cisco Unified Computing System, Cisco Unified Data Center, Cisco Unified Fabric, Cisco Unified Management, Hadoop, rack server, UCS Manager, UCS service profiles
Continuing the blog series (Part-I) on the production deployment designs and the real-world benefits of Multi-Hop FCoE infrastructure, this blog features University of Siegen, based in Germany.
Before delving into the details, a bit of background -- The University of Siegen is a modern educational institution with a strong international profile. Its 17,500 students and 1700 staff are based in eight locations around the town of Siegen in Germany, although more than 11 percent of students come from other countries. The BYOD, e-learning initiatives and other research applications were putting the university’s IT environment under pressure. So, the University was looking to optimize IT services for educational and operational efficiency and as well to introduce the latest technology for future-proofing their Data Center.
Using the Cisco “wire-once, enable anywhere” design philosophy, the University connected the old storage environment, which is based on Fibre Channel, with the new FCoE domain. Cisco UCS server is connected to the Director-Class Cisco Nexus 7000 platform, which in turn is connected via Multi-hop FCoE to Cisco MDS 9000 SAN Director. The newer FCoE Storage array is connected directly to Nexus 7000 for the End-to-End FCoE connectivity.
The benefits to using Cisco Unified Fabric infrastructure were quite significant Read More »
Tags: Cisco Unified Fabric, convergence, FCoE, Multihop, Storage