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.
Read More »
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
Intel estimates1 that one-third of the servers in production are more than four years old. At first, one might think that it is great to get this much service out of a capital investment, but the operational costs to run these outdated servers would pay for a complete technology refresh increasing performance and reliability while reducing total costs. How is this possible? With the Intel® Xeon® Processor E5-2600 v2 product family and Cisco’s Unified Computing System. Read More »
Tags: B200 M3, BL460c, blade server, Cisco, Cisco UCS, data center, datacenter, Hewlett Packard, HP, HP BL460c Gen8, Intel E5-2600, Intel Xeon, Intel Xeon E5, Ivy Bridge v2, rack server, refresh, ROI, savings, sever, tco, UCS, x86
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
Given the diversity of the attendees, I wasn’t sure what to expect at Intel® Developer Forum (IDF) having never been to one before.
Now I’m very glad to have the opportunity to discuss our updated blade and rack servers with Intel’s Xeon® E5-2600 v2 series of processors (aka Ivy Bridge v2) with potential customers, analysts, and even competitors. It was a very good experience and I hope to participate again.
I won’t reiterate the information we blogged about this week, but if you missed these IVB v2 blog posts, take a moment and catch up: Tick Tock Goes the Server Clock & New Intel Processors – Six New Cisco UCS Performance Records.
Next up on the trade-show circuit for me is Oracle OpenWorld where I will be giving a theater presentation on Cisco Unified Computing System (UCS): Changing the Economics of the Datacenter. I hope to see you there!
Tags: B200 M3, blade server, C220 M3, C240 M3, IDF, Intel, rack server, UCS, Xeon