Hey data heads! O’Reilly Strata Conference kicks off tomorrow at the Santa Clara Convention Center. If you plan to go you better have tickets because the event is sold out.
If you are attending the three days of sessions, keynotes, receptions and exhibits, please stop by the MapR booth for some face time with one of our big data partners and plan to attend their sponsored panel discussion which includes Cisco IT and other MapR customers facilitated by Mike Gualtieri from Forrester Research.
Best Practices for Hadoop In Production
“Mike Gualtieri, principal analyst at Forrester Research, Inc., will engage a panel of production Hadoop users – including Cisco IT, The Climate Corporation, The Rubicon Project, and Solutionary – to discuss the challenges and best practices for deploying Hadoop in production. Join us for an engaging conversation on tips and tricks in deploying Hadoop in production. 10:40am, Wednesday February 12 in Ballroom H” See more here.
Representing Cisco IT will be Distinguished Engineer, Piyush Bhargava. Piyush is Chief Architect for Data Architecture & Innovation and is responsible for finding new ways of harnessing value from data and for designing architectures to support data processing, analytics & data science needs.
If you can’t make it to Strata Conference or are double booked during this time slot you can get the goods on this topic from a number of other sources.
- First, check out the webinar Cisco and MapR produced with Mike that highlights the Cisco IT case study. Mike outlines the 7 Best Practices for Productionizing Hadoop, MapR follows with their best practices for data tables and Cisco IT covers their big data use case. If you want to skip to the Cisco IT use case, it starts at 34:00.
- Then, take a look at my blog post on the Cisco IT big data platform success story. Cisco IT has standardized on Cisco UCS servers and fabric interconnects for its big data infrastructure and uses MapR for data tables.
For operational workloads, Cisco IT has standardized company-wide on Cisco Tidal Enterprise Scheduler with its unique set of adapters that include API integrations to MapR, Hive and Sqoop for big data workload processing.
- Next, spend some time reading the Unleashing IT Big Data Edition. This special edition of Unleashing IT is all about big data and highlights our joint Cisco/MapR customer Solutionary who incidentally, will join Cisco IT on the Strata Conference panel discussion on Wednesday. This e-zine is packed full of big data thought leadership; best practices for infrastructure and operations; customer success stories and include our partners Intel, MapR and others.
- Finally, peruse the Cisco big data website for all the latest on our solutions, partners, services and resources to help you make the best informed decision on moving your big data platform from development to production.
Big Data blogs I follow:
Tags: Big Data, Cisco IT, Cisco UCS, Cisco Unified Management, inside cisco it, software, Strata Conference, Tidal Enterprise Scheduler, unified management, workload automation
Check out our new “on-demand” webinar: Big Data Essentials: Don’t Let Your Sandbox Turn to Quicksand
What you will learn:
- How to manage data as an asset and transform data into business value.
- Why Big Data projects fail and how to avoid common pitfalls.
- How to optimize a Big Data supply chain.
- What infrastructure is required to run and automate data workload processing.
Big Data has become the next big thing, not only for the promise of finding the “needle on the haystack” of untapped revenues, but also for the possibility of uncovering and delivering exciting new business models.
For IT, Big Data can be both exciting and daunting: By delivering analysis from huge amounts of data more quickly than with existing Business Intelligence (BI) tools, data center managers can deliver new services to the business end users; daunting because researching, selecting, buying, staffing and managing Big Data tools sets pretty much demand a separate data center.
We invited our partner Informatica to share its knowledge on managing complex data supply chains have produced this webinar with insight from leading analyst firm Gartner, that will help you align how you think about your data and the infrastructure that it runs on.
By incorporating these the Big Data essentials into your planning you can prevent your sandbox from turning into quicksand and avoiding project delays and cost overruns.
This webinar consists of three parts:
Doug Laney, Research VP at Gartner for business analytics, begins with a lesson in Infonomics – managing data as an asset, and the skills required for Big Data analytics.
John Haddad, Senior Director Big Data Product Marketing at Informatica, explains how to turn these data assets into actionable information generating business value and developing a Big Data supply chain.
Ronnie Ray, Director Product Management for Cisco Cloud and Systems Management, completes the discussion by describing a Big Data infrastructure and operations platform that will exceed your business service levels.
Many of our customers already agree: Cisco is delivering Big Data infrastructure and data workload processing management with the Cisco Common Platform Architecture (CPA). CPA is based on Cisco Unified Computing (UCS), Unified Fabric, and Unified Management. The Cisco Big Data solution delivers:
Integrated Server Management
Cisco UCS unifies computing, networking, management, virtualization, and storage access into a single integrated architecture. It’s an ideal platform for Big Data applications.
Integrated Network Management
The same Cisco network architecture can serve both traditional applications and databases and Big Data processing solutions.
Integrated Data Processing Management
Cisco provides workload automation that manages the flow of data between a wide variety of applications into and out of your Big Data processing environments.
Read More »
Tags: automation, Big Data, Gartner, informatica, Tidal Enterprise Scheduler, workload automation
Like many IT organizations, Cisco’s internal IT department is deploying Big Data solutions to mine the ever-increasing data in-flow from a wide range of sources – and thus gain competitive advantage and insights.
The typical environment includes an ecosystem of different tools and data sources that looks something like this (image courtesy of @TorstenVolk):
Source: EMA Research
Cisco IT realized that as the demand for analysis of this data increased, the demands on their infrastructure and Day 2 operations management would likely grow exponentially. So they knew that they needed an enterprise-grade workload automation solution that could manage processes involving Hadoop, MapR, Cloudera, Informatica, Teradata, SAP HANA, BusinessObjects, Tableau as well as other analytics applications, data feeds and repositories.
Fortunately, we have a workload automation software solution – Cisco Tidal Enterprise Scheduler – that meets those requirements and more:
Read More »
Tags: Big Data, Cisco IT, Cisco Unified Management, inside cisco it, software, Tidal Enterprise Scheduler, unified management, workload automation
Cisco is a Zettabyte sponsor at this week’s Strata Conference + Hadoop World in New York, NY, October 28-30.
Everyone’s talking about big data, but who’s actually doing it right—and how? Find out at Strata + Hadoop World, where big data’s most influential decision makers, architects, developers, and analysts gather to shape the future of their businesses. If you want to tap into the opportunities brought by big data, data science, and pervasive computing, you’ll want to be there too.
Stop by the Cisco Booth and please attend our breakout session:
“Deeper Insight into Operational Big Data Clusters”, delivered by Samuel Kommu, Cisco Technical Marketing Engineer
Wednesday at 1:45pm. Check here for more details.
We will showcase how our Cisco Nexus, UCS and our workload automation solutions--all configured specifically for Hadoop-- that enable rapid deployment, predictable performance, and massive scale to help you get the most value from your big data deployments.
Also, stop by the Cisco booth to receive you free copy of Unleashing IT Big Data Edition. This special edition of Unleashing IT is all about Big Data. There is nothing simple about scaling up to the challenge of managing the mountain of data flooding into your data center every day. To learn how to start extracting value, avoid pitfalls, and best practices of big data management, check out our new edition, containing expert advice, thought leadership, and industry insight.
Big Data blogs I follow:
Cisco Big Data Resources: www.cisco.com/go/bigdata
Tags: Big Data, Cisco Unified Management, Hadoop World, Strata Conference, Tidal, Tidal Enterprise Scheduler, unified management, workload automation
On June 20th, Cisco and MapR will join with Forrester Research Big Data analyst Mike Gualtieri to discuss “productionizing” Hadoop. But what does it mean?
Mike has developed a list of 7 architectural best practices that will help your enterprise quickly, and easily develop or move your Hadoop environment into standard data center processes. Following his guidelines, your can get your Hadoop environment up and running in no time, saving time by being proactive on the headaches and pitfalls that are unique to Big Data environments.
Joining Mike will be MapR CMO, Jack Norris discussing their best practices and how they line up with the Big 7 from Forrester.
Finally, Cisco IT will showcase a MapR production environment and how they have streamlined the complex Big Data workloads, automatically moving data into and running analytics out of their Hadoop environment.
Keeping the Hadoop production environment up and running smoothly is the name of the game here and in the face of resource constraints, Cisco IT has standardized on Cisco Tidal Enterprise Scheduler—with its seamless integrations into MapR, Hive, and Sqoop—giving your enterprise the ability to “productionize” complex workloads from any data source.
Join us as we walk you through the 7 architectural best practices for Big Data, MapR and Cisco Tidal Enterprise Scheduler.
Read More »
Tags: Big Data, cisco live, forrester, Hadoop, MapR, Tidal Enterprise Scheduler, unified management, workload automation