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.
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Tags: automation, Big Data, Gartner, informatica, Tidal Enterprise Scheduler, workload automation
Guest Blog by Jack Norris
Jack is responsible for worldwide marketing for MapR Technologies, the leading provider of a enterprise grade Hadoop platform. He has over 20 years of enterprise software marketing experience and has demonstrated success from defining new markets for small companies to increasing sales of new products for large public companies. Jack’s broad experience includes launching and establishing analytic, virtualization, and storage companies and leading marketing and business development for an early-stage cloud storage software provider.
Big Data use cases are changing the competitive dynamics for organizations with a range of operational use cases. Operational intelligence refers to applications that combine real-time, dynamic, analytics that deliver insights to business operations. Operational intelligence requires high performance. “Performance” is a word that is used quite liberally and means different things to different people. Everyone wants something faster. When was the last time you said, “No, give me the slow one”?
When it comes to operations, performance is about the ability to take advantage of market opportunities as they arise. To do this requires the ability to quickly monitor what is happening. It requires both real-time data feeds and the ability to quickly react. The beauty of Apache Hadoop, and specifically MapR’s platform, is that data can be ingested as a real-time stream; analysis can be performed directly on the data, and automated responses can be executed. This is true for a range of applications across organizations, from advertising platforms, to on-line retail recommendation engines, to fraud and security detection.
When looking at harnessing Big Data, organizations need to realize that multiple applications will need to be supported. Regardless of which application you introduce first, more will quickly follow. Not all Hadoop distributions are created equal. Or more precisely, most Hadoop distributions are very similar with only minor value-added services separating them. The exception is MapR. With the best of the Hadoop community updates coupled with MapR’s innovations, the broadest set of applications can be supported including mission-critical applications that require a depth and breadth of enterprise-grade Hadoop features.
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Tags: Big Data, enterprise scheduler, Hadoop, informatica, job scheduling, MapR, Tidal Enterprise Scheduler, UCS, workload automation
No doubt data is one of an organization’s most important assets. The trick is to turn it into timely and trusted information—information that can be used to rapidly uncover new markets, attract and retain customers, reduce operating costs, shrink time to market, and make smarter strategic decisions. In short, leveraging data can sharpen a company’s ability to navigate markets.
So when we combine Informatica’s world-class data integration platform with Cisco® Tidal Enterprise Scheduler, we are enabling organizations to gain a competitive advantage in today’s global information economy by empowering them with relevant and trustworthy information to support all their business decisions.
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Tags: business intelligence, enterprise scheduler, informatica, process automation, Tidal, workload automation