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Why I Love Big Data Partner Series 4: Distributed Big Data Cluster with Cisco UCS and MapR–Store Locally, Query Everywhere

Next in our series of Why I Love Big Data is Bruce from MapR.  Together, Cisco and MapR are working on a very cool solution for keeping data local, but accessing very quickly.  Also, come by the Connected Banking stand in the Cisco Live World of Solutions and DevNet area to see a demo of the distributed system. You will see how Cisco and MapR can provide solutions for security and data theft prevention to prevent theft of customer’s personal data and financial information.


BruceTwo4x4Bruce Penn, Principal Solution Architect, MapR Technologies
Bruce is a Principal Solution Architect with MapR Technologies.  He has over 22 years of Information Technology experience that includes Data Warehousing, Business Intelligence, Enterprise Architecture, Systems Design, Project Management and Application Programming.  Prior to MapR, Bruce spent 8.5 years at Oracle and was instrumental in helping grow the Oracle Exadata Database Machine business through extensive collaboration with several large enterprise customers.  Bruce was the first Solution Architect to join MapR’s Sales Engineering team and has been solely focused on the MapR Distribution for Hadoop and associated Apache Hadoop ecosystem technologies ever since. Bruce holds a Bachelor’s Degree in Electrical Engineering from Michigan State University.

 

Cisco and MapR have long been partners in the big data market, and with enterprises embracing the Internet of Everything (IoE) and moving towards a truly distributed data center environment, the combination of UCS and MapR provide unique capabilities to simplify this architecture.

Cisco UCS servers provide a powerful foundation for running distributed big data/Hadoop MapR clusters with unparalleled performance, availability, and manageability at the hardware level. The MapR Distribution including Apache Hadoop provides similar robustness at the software level, creating a rock-solid distributed platform for many flavors of IoE applications.

With the advent of IoE applications, data often originates at the “edge” of a system’s network, meaning that devices such as routers and switches in one data center will generate log data locally, while devices in other data centers will do the same creating silos of log data. In order for applications built around this log data to react in real time, they need to access that data as quickly as possible, and often those applications will want to aggregate the data across data centers in order to make decisions quickly, while keeping the data local to the originating data center. It may be important to keep the data local for legal and regulatory reasons, as well as for efficient local queries. With Cisco UCS Servers, MapR Data Placement Control, and Apache Drill, this becomes a simple task.

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Cisco and Big Data and Analytics Partners unveil vertical solutions at Cisco Live

Why do I love Big Data so much? It’s because there are endless possibilities to deliver on the Internet of Everything (IoE) opportunity that will create new capabilities, richer experiences, and unprecedented economic opportunities for businesses, countries, and individuals. Analytics is an enormous part of that value creation and is estimated to drive $7.3T of the $19T IoE opportunity over the next 10 years.

Big Data and Analytics take the data created by people, processes, and things – that’s held within the Data Center and at the Edge – and convert it to insights that deliver the truly transformational business outcomes for which we all strive. I’m not talking about ‘iterative’ changes here. I’m talking about game-changing breakthroughs that change the way businesses compete, healthcare teams treat their patients, and cities and governments meet the needs of their constituents.

Cisco has incredible Connected Analytics offerings that address the needs of data streaming at the edge. These offerings are complemented by solutions based on Cisco UCS Integrated Infrastructure and broad ecosystem of Big Data & Analytics Partners.

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Cisco UCS Integrated Infrastructure for Big Data with MapR: with Support for Multi-Tenancy

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
    • Large scale production deployments in a range of industries including finance, healthcare, media retail and government
    • Foundation for an enterprise data hub with support for out-of-the-box multi-tenancy ensuring application level SLAs, 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.

Cisco UCS II 64 Node Cluster

Additional Information

Solution Brief: Cisco UCS Integrated Infrastructure for Big Data with MapR
Cisco Validated Design: Cisco UCS Integrated Infrastructure for Big Data with MapR with Multi-Tenancy Extension
Cisco UCS Big Data Design Zone
Cisco UCS Solution Accelerator Paks for Big Data

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Big Data is better than a sharp stick in the eye

Big Data is better than a sharp stick in the eye. I can say this with great authority, since I missed the first half of Strata+Hadoop World 2015 in San Jose because of the latter. But eye injuries have never kept me offline for long, and I was able to follow online with what I didn’t see in person. But I was very happy to make it in to the show on Friday, and even got a seat at about row 6 in the main hall for the keynotes. Read More »

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Oh, The Things You Learn After Hours!

It’s been a busy couple of weeks for us in big data land. One thing that struck me is how much we learned about the big data and analytics space after hours at Strata Hadoop, and sometimes that can be just as exciting as what we learn during the sessions. I have a couple of videos I like to share with you to prove my point.

In this video, I learned some things from Jim Scott, MapR. First, MapR is providing –and get ready because it’s a mouthful—“ an online, Interactive, platform neutral, vendor agnostic training” — and some cool use cases of a Hadoop cluster in a briefcase.

It’s also fun to get together with our various partners and talk about the great solutions we are doing together. In this video, I have MapR and Platfora do all the work. Hey it was after hours!

Cisco Big Data Webinar At-A-Glance ABSOLUTE FINAL VERSION

Webinar At A Glance

Want to learn more about what we are doing with our partners? Check out the Webinar At A Glance from our recent Big Data webcast, “Analytics Solutions for Driving Better Business Outcome,” which is available on demand now. The feedback has been amazing and we plan to do more of these with our partners in the future.

Have some interesting stories or solutions you would like to share? Find me on Twitter, @JimMcHugh, we can work together to get the news out.

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