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
In 1984, John Gage of Sun Microsystems coined the phrase “the network is the computer” as computing functions started to become increasingly distributed across the network. Today, boundaries that once separated individual computers have disappeared and application processing is enabled—and managed—by the network. We are now at the forefront of a new market transition, as eloquently explained by Rick van der Lans in his paper, “The Network Is the Database.”
The network is indeed becoming the database. Big Data and the related approach to database management are moving away from a centralized data warehouse model and literally starting to flow across the network. We are virtualizing data management by leaving data in the network, instead of copying it into a data center. Data stays in motion wherever and whenever it’s needed across the network, instead of being at rest.
What does this mean for business value? A distributed—and virtualized—data management approach solves the three major issues of Big Data: volume, variety, and velocity.
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Tags: 3 Vs, analytics, analytics at the edge, Big Data, Cisco, Cisco Consulting Services, distributed network architecture, Fog, Internet of Everything
In this week’s episode of Engineers Unplugged, Floris Grandvarlet (Cisco) and Richard Pilling (Intel) take on Big Data across the proverbial pond, at Cisco Live Milan. Where are we now, how are we going to approach the ever increasing amount of data (an ocean of it) to fish for information? This is a great overview for the challenges and the evolution of approaches.
Let’s watch and see what they propose to address the challenges:
It’s our very first seahorse–outsmarted once more.
**The next Engineers Unplugged shoot is at EMC World, Las Vegas, May 2014! Contact me now to become internet famous.**
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Tags: apache, Big Data, Intel, open source
To cross a busy intersection safely, it’s best to have all of your senses alert. That way, if you don’t happen to see that oncoming truck ignoring the “Walk” sign, you will probably still hear it. In the case of a heavy cement mixer, you may even feel the low rumble of its powerful engine first.
In the Internet of Everything (IoE), a similar principle applies. We call it “sensor fusion,” and it involves combining two or more sensors — often of different types — to monitor a specific environment and offer actionable insights more intelligently. These could be cameras and Wi-Fi tags or weight-sensing shelves and ultrasonic imaging, to name just two combinations. Moreover, the combined sensor data can itself be fused with other information streams — for example, those relating to weather, operations, news, or social media.
The result? Highly informed, real-time decision making and richer customer experiences.
Until recently, sensor fusion has been mostly exploited in specialized devices such as robots, but it is now driving a revolution in enterprise systems. This will bring new life to entire industries and completely transform stores, manufacturing floors, and transportation corridors. By greatly improving the accuracy of their measurements, organizations will be able to offer rich new experiences and gain substantial competitive advantage.
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Tags: asset utilization, Big Data, Cisco, Cisco Consulting Services, employee productivity, innovation, Internet of Everything, internet of things, IoE, IoE Value Index, IoT, retail, sensor fusion, sensors, value at stake
What does an already innovative company like Cisco do more to innovate? What do we need to do differently to influence or shape the next breakthrough that will fundamentally change our industry and Cisco? As we embark on a journey to transform Cisco into a #1 IT solution provider, we know we must innovate more and faster – and spot the next industry-shaping change before it catches our industry off-guard.
We believe one of the key strategies for reinventing innovation at Cisco is to embrace openness. Open innovation is a concept developed and evangelized by leading organizational experts, including Dr. Henry Chesbrough, the Executive Director of the Program in Open Innovation at UC Berkeley. It focuses on how organizations can and should use external ideas as well as internal ideas – and internal and external paths to market1. Open innovation enables us to stay abreast of and shape the next big change that is going to impact Cisco and our industry.
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Tags: analytics, Big Data, Cisco, ciscoeir, cloud, entrepreneurship, innovation, Internet of Everything, internet of things, IoE, IoT, Mala Anand, security, startups