Today, Big Data and Hadoop are arguably the hottest (and most mysterious) subjects in computing for most technology workers. Ask any person in IT about Big Data/ Hadoop and you’ll probably get a look of utter confusion. Here at Cisco, I’ve recently taken on the role of Product Manager for Cisco Tidal Enterprise Scheduler (TES) and part of my job is to help you face your fears and put your arms around the Big Data boogeyman.
Big Data’s growth in the market has exploded and it’s clear why: data-driven decision-making results in optimal business outcomes. With Big Data/ Hadoop, analyzing massive datasets has become easier and we glean new business insights, which can be a massive competitive advantage.
I just arrived in NYC for Strata Conference + Hadoop World 2012, where I’m part of the Cisco team here to show off the new 6.1 release of Cisco Tidal Enterprise Scheduler announced yesterday. With 6.1, Cisco TES includes Hadoop integration – to help our customers address the Big Data challenge and gain even more value from your infrastructure. The workload automation features provided by TES are an integral part of getting the most out of your Hadoop deployments.
At the Strata event, we’re featuring Cisco UCS servers and Cisco Nexus switches for Big Data as well as our Cisco TES support for Hadoop. To see Cisco TES and Hadoop in action, check out this online demo here. This demo runs on UCS and schedules a Hadoop MapReduce job every 15 minutes to track tweets at the conference – revealing the biggest Twitter topics and the most active tweeps in Big Data this week.
In addition to our support for Hadoop and Big Data, with TES 6.1 we’ve announced a self-service portal, support for Amazon Web Services’ (AWS) EC2 & S3 features, and an iPhone app. AWS support adds the advantages of cloud-based Hadoop by providing the scalability and agility to expand capacity as needed coupled with Hadoop’s analytical strength. Throwing TES 6.1 into the AWS mix provides automated, efficient provisioning of cloud resources.
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Tags: Big Data, data center, Hadoop Summit, Tidal Enterprise Scheduler, unified management
This new Cisco Validated Designs for Cloud blog series will feature the latest CVDs released and published in this rapidly-evolving systems and technology area…. Before digging into some of these new CVD’s, I had a short conversation with Tom Nallen who leads the Cisco Validated Design program and Design Zone, the main repository for these on Cisco.com.
” I’ve heard about CVDs, what exactly are they?
Simply put, Cisco Validated Designs are recommended, lab-validated, end-to-end designs for next-generation IT systems. The foundation of this long-running systems validation program at Cisco is the Cisco Validated Design guide, or CVD, which provides lab-validated technical guidance to help achieve faster, more consistent and reliable technology deployments. While the customer requirements-driven CVD development process requires a substantial investment of system capital and engineering expertise by Cisco, CVDs are published on Cisco.com and available to all free of charge.
CVD’s are developed by many different business units across Cisco, focused on the five Cisco Priorities including: the Network Foundation (routing, switching, services plus security and mobility), Collaboration, Data Center/Virtualization and Cloud, and Video – all within a Technology Architecture linked to Business Architecture. Cisco Validated Designs play a key role here by incorporating a wide range of technologies, products and applications into a portfolio of proven solutions that have been developed to address the business needs of our customers. The complete portfolio of Cisco Validated Designs can be found on Design Zone on Cisco.com at www.cisco.com/go/designzone.
OK, so how are CVDs relevant to Data Centers and Cloud?
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Tags: Cisco Validated Design, cloud, Cloud Service Assurance, data center, Zenoss
Last night we uploaded version 6.1 of Cisco’s Tidal Enterprise Scheduler. I’m pretty excited to introduce the new functionality of this tool and there’s a lot. Particularly with Hadoop support and Amazon EC and S3 support as well. If you are unfamiliar with TES, the datasheet is here.
But when talking about big data, I thought, I’d start small. Like iPhone small. Existing Scheduler customers and the curious, can download the free Apple iPhone app to control jobs. Here’s the AppStore description and link
Cisco Enterprise Scheduler is the premiere job scheduling and process automation software that provides a single point of control and monitoring for business operations. Enterprise Scheduler for iOS now allows Scheduler administrators and users to monitor and control their operations directly on their mobile devices. Enterprise Scheduler for iOS was designed for the mobile user experience, but retains core features of the Enterprise Scheduler web client that users are familiar with including:
* Monitor and view jobs, connections, events, schedules, queues, logs and alerts.
* Control all aspects of jobs, including holding, rerunning, canceling, and overriding jobs.
* Powerful search and filtering for all Scheduler objects.
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Tags: cisco enterprise scheduler, Hadoop, intelligent automation, iphone, Tidal Enterprise Scheduler, unified management, workload automation
When you think of cloud technology and data center virtualization, you likely think of big corporations managing their data centers and IT infrastructure to drive business forward. But that’s not the only sector benefiting from the cloud. The healthcare industry is confirming that virtualization is an important factor in the well-being of people – technology being used to help save lives, not just increase revenue.
Updating an IT infrastructure with cloud enablement is impacting the medical world in imperative ways. Through the cloud, clinicians are able to access medical records and information from a multitude of devices, and from anywhere. Never being out-of-range in an emergency situation is a huge step for healthcare. It means less physical hardware, easier access, shared information, and better service for the patient.
Consider St. George’s Healthcare NHS Trust, a leading healthcare provider. After experiencing difficulties in accessing information and maxing out resources, St. George’s made the move to Unified Communications. Doctors and nurses are now able to retrieve information from the device of their choice, enabling quicker response to patients’ needs, all while meeting new government regulations and controlling their budget.
Other examples include Sparrow Health, who strived to be a national leader in quality and patient experience. With virtualization and cloud-based applications, Sparrow achieved a medical-grade network that solved the problems of their former, unreliable IT system. And Seattle Children’s Hospital severely cut back on wasted time in accessing information and managing their systems by bringing nearly 400 servers and 5500 workstations under central management using virtualization. Likewise, Cook County Health and Concentra are all healthcare providers who reaped the benefits of a virtualized, unified network.
For these profiles and more information on utilizing the cloud to increase ROI and improve TCO, visit UnleashingIT.com.
Tags: cloud, Cloud Computing, data center, healthcare, ROI, tco
In my last installment on Cisco Tidal Enterprise Scheduler, I talked about how our customers have increased their usage of this end-to-end solution by 2-3x.
Based on the upswing of Big Data usage and adoption in the market, this trend is likely to continue for quite some time. And Cisco finds itself with the right solution at the right time.
I’m live here from Strata Conn/Hadoop World 2012 in New York City where “Strata Conference explores the changes brought to technology and business by big data, data science, and pervasive computing. This year, Strata has joined forces with Hadoop World to create the largest gathering of the Apache Hadoop community in the world.” It’s THE place to be for the Big Data and Hadoop geek out.
At this sold out event Cisco is introducing our new 6.1 release of Cisco Tidal Enterprise Scheduler. This new release is packed with new features such as a very cool iPhone app, integration into Amazon EC2 and S3 and a self service portal (stay tuned for more blogs on this later). It also includes a new Hadoop adapter with API integration into Sqoop, Hive, HDFS Data Mover and MapReduce.
What’s that you say? Enterprise workload automation for Hadoop clusters? Why would I need that?
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Tags: Big Data, intelligent automation, workload automation