Cisco Blogs


Cisco Blog > Data Center and Cloud

Building an Enterprise Data Hub, Evaluating Infrastructure

Cisco, MapR, Informatica

 

Want to get the most out of your big data? Build an enterprise data hub (EDH).

Big data is rapidly getting bigger. That in itself isn’t a problem. The issue is what Gartner analyst Doug Laney describes as the three Vs of Big Data: volume, velocity, and variety.

 

Gartner

Volume refers to the ever-growing amount of data being collected. Velocity is the speed at which the data is being produced and moved through the enterprise information systems. Variety refers to the fact that we’re gathering information from multiple data sources such as sensors, enterprise resource planning (ERP) systems, e-commerce transactions, log files, supply chain info, social media feeds, and the list goes on.

 

Data warehouses weren’t made to handle this fast-flowing stream of wildly dissimilar data. Using them for this purpose has led to resource-draining, sluggish response times as workers attempt to perform numerous extract, load, and transform (ELT) functions to make stored data accessible and usable for the task at hand.

Constructing Your Hub

An EDH addresses this problem. It serves as a central platform that enables organizations to collect structured, unstructured, and semi-structured data from slews of sources, process it quickly, and make it available throughout the enterprise.

Building an EDH begins with selecting the right technology in three key areas: infrastructure, a foundational system to drive EDH applications, and the data integration platform. Obviously, you want to choose solutions that fit your needs today and allow for future growth. You’ll also want to ensure they are tested and validated to work well together and with your existing technology ecosystem. In this post, we’ll focus on selecting the right hardware.

Cisco UCS Big Data Domain

 

The Infrastructure Component

Big data deployments must be able to handle continued growth, from both a data and user load perspective. Therefore, the underlying hardware must be architected to run efficiently as a scalable cluster. Important features such as the integration of compute and network, unified management, and fast provisioning all contribute to an elastic, cloud-like infrastructure that’s required for big data workloads. No longer is it satisfactory to stand up independent new applications that result in new silos. Instead, you should plan for a common and consistent architecture to meet all of your workload requirements.

 

Big data workloads represent a relatively new model for most data centers, but that doesn’t mean best practices must change. Handling a big data workload should be viewed from the same lens as deployments of traditional enterprise applications. As always, you want to standardize on reference architectures, optimize your spending, provision new servers quickly and consistently, and meet the performance requirements of your end users.

 

Cisco Unified Computing System to Run Your EDH

Cisco UCS for Big Data

The Cisco Unified Computing System™ (Cisco UCS®) Integrated Infrastructure for Big Data delivers a highly scalable platform that is proven for enterprise applications like Oracle, SAP, and Microsoft. It also provides the same required enterprise-class capabilities--performance, advanced monitoring, simplification of management, QoS guarantees--to big data workloads. With lower switch and cabling infrastructure costs, lower power consumption, and lower cooling requirements, you can realize a 30 percent reduction in total cost of ownership. In addition, with its service profiles, you get fast and consistent time-to-value by leveraging provisioning templates to instantly set up a new cluster or add many new nodes to an existing cluster.

 

And when deploying an EDH, the MapR Distribution including Apache Hadoop® is especially well-suited to take advantage of the compute and I/O bandwidth of Cisco UCS. Cisco and MapR have been working together for the past 2 years and have developed Cisco-validated design guides to provide customers the most value for their IT expenditures.

 

Cisco UCS for Big Data comes in optimized power/performance-based configurations, all of which are tested with the leading big data software distributions. You can customize these configurations further, or use the system as is. Utilizing one of Cisco UCS for Big Data’s pre-configured options goes a long way to ensuring a stress-free deployment. All Cisco UCS solutions also provide a single point of control for managing all computing, networking, and storage resources, for any fine tuning you may do before deployment or as your hub evolves in the future.

 

I encourage you to check out the latest Gartner video to hear Satinder Sethi, our VP of Data Center Solutions Engineering and UCS Product Management, share his perspective on how powering your infrastructure is an important component of building an enterprise data hub.

 

Gartner Video

 

 

 

 

 

 

 

 

 

In addition, you can read the MapR Blog, Building an Enterprise Data Hub, Choosing the Foundational Software.

Let me know if you have any comments or questions, or via twitter at @CicconeScott.

Tags: , , , , , , , , , , , , , ,

Elasticsearch ELK + Cisco UCS turn massive data into massive insights

Elasticsearch Logo

The Internet of Everything continues to gain momentum and every new connection is creating new data. Cisco UCS Integrated Infrastructure for Big Data is helping customers convert that data into powerful intelligence, and we’re working with a number of new partners to bring exciting new solutions to our customers.

Today, I want to spotlight Elasticsearch, Inc. and welcome them to the Cisco Solution Partner Program.

Press Release

Elasticsearch Blog

Elasticsearch excels at providing real-time insight into data – whether structured or unstructured, human- or machine-generated; by bringing a search-based architecture to data analytics. By combining the ELK stack with Cisco UCS, organizations benefit from a turnkey underlying infrastructure solution that provides them with real-time search and analytics for a variety of applications, from log analysis, to structured, semi-structured, or unstructured searches, as well as a web-backend for custom applications that use search-based analytics as a core functionality.

Mozilla is just one of the companies who are already benefiting from the joint solution with real-time search and analysis of data powering its defense platform, MozDef. The ELK stack leverages Cisco UCS’ fast connectivity for query, indexing and replication of data traffic. And Elasticsearch handles the full scale of event storage, archiving, indexing and searching of the data logs. The ELK stack and Cisco UCS also protect Mozilla’s network, services, systems, and audit data from hackers.

Partners like Elasticsearch are just one reason that Cisco UCS Integrated Infrastructure can help your company capitalize on the IoE data avalanche and deliver powerful and cost-effective analytics solutions throughout your enterprise.

Find out more at www.cisco.com/go/bigdata, or register for a webinar entitled, “Learn How Mozilla Tackles their Security Logs with Elasticsearch and Cisco”.

Register Now

 

 

Webinar Details:

Thursday, November 13th 
9:00 AM PST / 12:00 PM EST / 5:00 PM GMT


Are you interested in learning how to build enterprise applications on top of Elasticsearch and Cisco’s Unified Computing System (UCS) infrastructure? We’re holding a webinar to delve more deeply into how to optimize ELK on Cisco UCS infrastructure.

Cisco UCS  unites compute, network, and storage access into a single cohesive system. By combining the ELK stack with Cisco UCS, businesses benefit by having a turnkey hardware-software solution for their search and analytics applications.  In this webinar you’ll learn about the various UCS hardware profiles you should consider when deploying ELK and how Mozilla built MozDef, their custom SIEM application, using ELK on Cisco UCS.

Agenda:

  • Introduction – Jobi George, Elasticsearch (5 minutes)
  • Overview of UCS + ELK reference architectures – Raghunath Nambiar, Distinguished Engineer, Data Center Business Group, Cisco (10 minutes)
  • How Mozilla Built MozDef on ELK and Cisco UCS – Jeff Bryner, Security Assurance, Mozilla (25 minutes)
  • Q&A – Jobi George, Elasticsearch (~20 minutes)

 

 

 

Tags: , , , , , ,

The Top 5 OpenStack Adoption Challenges – View from Cisco Services’ Experts

November 3, 2014 at 11:34 am PST


openstackOpenStack is gaining increasing industry attention and, while it can deliver huge advantages, some may say it is “hyped”. Although OpenStack has an ever growing range of enthusiastic practitioners and advocates,  as you may be aware, OpenStack is not without its critics – including Gartner - who outline the challenges of OpenStack adoption. It’s therefore generally recommended that OpenStack adopters consider engaging professional services experts to help them avoid the pitfalls

With the November 2014 OpenStack Summit in Paris opening as I write this – you can find us at stand C3 along with our newest acquisition, Metacloud (Stand E37) if you are going - my thoughts turn to the issues and challenges facing our customers when they deploy OpenStack into production projects.  And who better to ask than our Cisco Services consultants who are delivering OpenStack adoption services (which we launched this time last year at the Summit in Hong Kong).

These consultants are at the “coal face” (as we say in my part of the world, Scotland) of OpenStack– they are the experts digging deep in the IT equivalent of the mines working with real customers going live with real-world OpenStack.    More than R&D investigations, these deployments are happening with customers who are betting their business dollars, pounds, yen and other currencies on OpenStack.  However as the video (below) shows, OpenStack has its deployment complexities.  Hence increasing numbers of our customers are engaging Cisco Services to help them on OpenStack.

To share our practical experiences with you, we sat down and came up with our “top 5” adoption challenges list which you may find useful if you are considering or embarking upon an OpenStack deployment:

  1. Cross-domain technical expertise is mandatory
  2. Going deep with Open Source
  3. “It’s just middleware”
  4. Don’t underestimate the learning curve
  5. Expect your OPEX to increase (sorry!)

Read More »

Tags: , , , , ,

Play Ball! Giants vs. Royals Game 7: Last Game of First Live-Streamed World Series

Cisco technology helps enable first live streams of World Series action

With the World Series wrapping up with game seven tonight and a new champion to be crowned, it’s a great time to reflect on the game and its impact on fans.

Baseball is much more than a game in America.  For well over 150 years, the sport has been woven into the fabric of our cities, neighborhoods, families and culture. For millions like me, the World Series has produced memories that last a lifetime. Every October, I reflect on the heartbreak I suffered in 1985 when my beloved St. Louis Cardinals blew a 3 games to 1 lead to the Kansas City Royals.

And all along, Major League Baseball has used technology to make the fall classic available to as many fans as possible.

The 1921 World Series between the New York Giants and Yankees was the first World Series to be broadcast on radio. The 1947 World Series was the first to be televised, and the 1955 World Series was the first televised in color.

Screen Shot 2014-10-29 at 1.27.54 PM

Now, another first in 2014, as large numbers of fans have been watching the first live streams of World Series action, representing a milestone in Major League Baseball broadcast delivery and allowing fans to watch on the go with an MLB.TV subscription. Each Giants-Royals game televised by FOX in the 110th Fall Classic is also available live online and via mobile to existing MLB.TV subscribers at no additional cost.

For the first time in the history of baseball, Read More »

Tags: , , , , , , , , ,

Unlock The Value of Big Data with Cisco Unified Computing System

Big Data is not just about gathering tons of data, the digital exhaust from the internet, social media, and customer records.  The real value is in being able to analyze the data to gain a desired business outcome.  

Screen Shot 2014-09-21 at 8.18.12 PMThose of us who follow the Big Data market closely never lack for something new to talk about. There is always a story about how a business is using Big Data in a different way or about some new breakthrough that has been achieved in the expansive big data ecosystem. The good news for all of us is, we have clearly only scratched the surface of the Big Data opportunity!

With the increasing momentum of the Internet of Everything (IoE) market transition, there will be 50 billion devices connected to the Internet by 2020—just five years from now. As billions of new people, processes, and things become connected, each connection will become a source of potentially powerful data to businesses and the public sector.  Organizations who can unlock the intelligence in this data can create new sources of competitive advantage, not just from more data but from better access to better data.

What we haven’t heard about – yet—are examples of enterprises that are applying the power of this data pervasively in their organizations:  giving them a competitive edge in marketing, supply chain, manufacturing, human resources, customer support, and many more departments. The enterprise that can apply the power of Big Data throughout their organization can create multiple and simultaneous sources of ongoing innovation—each one a constantly renewable or perpetual competitive edge. Looking forward, the companies that can accomplish this will be the ones setting the pace for the competition to follow.

Cisco has been working on making this vision of pervasive use of Big Data within enterprises a reality. We’d like to share this vision with you in an upcoming blog series and executive Webcast entitled, ‘Unlock Your Competitive Edge with Cisco Big Data Solutions’, that will air on October 21st at 9:00 AM PT.

Register Now

 

 

I have the honor of kicking off the multi-part blog series today. Each blog will focus on a specific Cisco solution our customers can utilize to unlock the power of their big data – enterprise-wide-- to deliver a competitive edge to our customers.  I’m going to start the discussion by highlighting the infrastructure implications for Big Data in the internet of Everything (IoE) era and focus on Cisco Unified Computing System initially.

Enterprises who want to make strategic use of data throughout their organizations will need to take advantage of the power of all types of data. As IoE increasingly takes root, organizations will be able to access data from virtually anywhere in their value chain. No longer restricted to small sets of structured, historical data, they’ll have more comprehensive and even real-time data including video surveillance information,  social media output, and sensor data that allow them to monitor behavior, performance, and preferences. These are just a few examples, but they underscore the fact that not all data is created equally. Real-time data coming in from a sensor may only be valuable for minutes, or even seconds – so it is critical to be able to act on that intelligence as quickly as possible. From an infrastructure standpoint, that means enterprises must be able to connect the computing resource as closely as possible to the many sources and users of data. At the same time, historical data will also continue to be critical to Big Data analytics.

Cisco UCS Common Platform Architecture for Big Data from Cisco Data Center

Cisco encourages our customers to take a long-term view—and select a Big Data infrastructure that is distributed, and designed for high scalability, management automation, outstanding performance, low TCO, and the comprehensive, security approach needed for the IoE era. And that infrastructure must be open—because there is tremendous innovation going on in this industry, and enterprises will want to be able to take full advantage of it.

Cisco UCS for Big DataOne of the foundational elements of our Big Data infrastructure is the Cisco Unified Computing System (UCS).  UCS integrated infrastructure uniquely combines server, network and storage access and has recently claimed the #1, x86 blade server market share position in the Americas. It’s this same innovation that propelled us to the leading blade market share position that we are directly applying to Big Data workloads.  With its highly efficient infrastructure, UCS lets enterprises manage up to 10,000 UCS servers as if they were a single pool of resources, so they can support the largest data clusters.

UCS Mini

Because enterprises will ultimately need to be able to capture intelligence from both data at rest in the data center and data at the edge of the network, Cisco’s broad portfolio of UCS systems gives our customers the flexibility to process data where it makes the most sense. For instance, our UCS 240 rack system has been extremely popular for Hadoop-based Big Data deployments at the data center core. And Cisco’s recently introduced UCS Mini is designed to process data at the edge of the network.

Because the entire UCS portfolio utilizes the same unified architecture, enterprises can choose the right compute configuration for the workload, with the advantage of being able to use the same powerful management and orchestration tools to speed deployment, maximize availability, and significantly lower your operating expenses.  Being able to leverage UCS Manager and Service Profiles, Unified Fabric and SingleConnect Technology, our Virtual interface card technology, and industry leading performance really set Cisco apart from our competition.

So, please consider this just an introduction to the first component of Cisco’s “bigger”, big data story. To hear more, please make plans to attend our upcoming webcast entitled,  ‘Unlock Your Competitive Edge With Cisco Big Data Solutions’ on October 21st.  

Register Now

Every Tuesday and Thursday from now until October 21st, we’ll post another blog in the series to provide you with additional details of Cisco’s full line of products, solutions and services.

View additional blogs in the series:

     9/25:    Unlock Big Data with Breakthroughs in Management Automation

     9/30:    Turbocharging New Hadoop Workloads with Application Centric Infrastructure

     10/2:    Enable Automated Big Data Workloads with Cisco Tidal Enterprise Scheduler

     10/7:    To Succeed with Big Data, Enterprises Must Drop an IT-Centric Mindset: Securing IoT Networks Requires New Thinking

     10/9:    Aligning Solutions to meet our Customers’ Data Challenges

    10/14:   Analytics for an IoE World

Please let me know if you have any comments or questions, or via Twitter at @CicconeScott.

 

 

 

 

 

 

Tags: , , , , , , , , , , , , , , , , , , , ,