Big Data Essentials: Don’t Let Your Sandbox Turn Into Quicksand
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.
Cisco IT Big Data platform is built using Cisco UCS Common Platform Architecture (CPA) infrastructure and management solutions. Cisco IT has also standardized on Cisco Tidal Enterprise Scheduler and will use it for all workload automation – including all of its Big Data analytics processing.
You can read more about Cisco IT’s use of Cisco Tidal Enterprise Scheduler for their Big Data infrastructure here: Cisco IT Automates Workloads for Big Data Analytics Environments from Cisco Data Center
Additional resources about Cisco’s solutions for Big Data can be found here: www.cisco.com/go/bigdata and I’d also encourage you to read the Big Data blog posts from my colleagues Raghunath Nambiar and Scott Ciccone.Tags: