Big Data Use Case – What Is Teradata IntelliCloud?

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The insideAI News technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise  objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this  white paper provided a number of areas for consideration when evaluating a cloud platform. We also focused on the experiences of a high-profile enterprise—Ticketmaster—during the company’s migration to the cloud. Finally, we offered a top-tier cloud solution—Teradata IntelliCloud—as an  excellent choice for transitioning from an on-premises system to one in the cloud.

What Is Teradata IntelliCloud?

Teradata IntelliCloud is a secure managed cloud offering that provides data and analytic software as a service (SaaS). IntelliCloud enables an  enterprise to focus on data warehousing and analytic workloads and rely on Teradata for the setup, management, maintenance, and support of the  software and infrastructure—either in Teradata data centers or using public cloud infrastructure from Amazon Web Services (AWS) and soon also  from Microsoft Azure. By leveraging the same software, training, tools, and applications in which Teradata customers have already invested for their  on-premises systems, IntelliCloud ensures 100% software consistency while increasing business agility and boosting focus on data-driven analytic  insights that have meaningful business outcomes. Provided on a subscription basis with monthly, annual, and 3-year options, IntelliCloud offerings enable customers to focus on business value, service utilization, and analytic insight and not worry about setting up or running the underlying software or infrastructure. Services are designed to be simple and complete; initial capabilities include:

  • Choice of Teradata Database, Teradata Aster® Analytics, or Hadoop® software from Cloudera or Hortonworks;
  • Bundled infrastructure services including platform deployment and management, onboarding and provisioning assistance, system monitoring  and maintenance, patches and software upgrades, encryption of data in motion and at rest, enterprise-class security, and premier cloud support;
  • Deployment options spanning IntelliFlex and IntelliBase in Teradata data centers plus AWS public cloud infrastructure—to be followed later in 2017 by Microsoft Azure and eventually on-premises;
  • Service availability guarantee of 99.9% for IntelliFlex and IntelliBase infrastructure managed in Teradata data centers; and
  • Analytic ecosystem applications including Teradata QueryGrid™, Teradata AppCenter, Demand Chain Management, Industry Data Models, and more.

Customers control their IntelliCloud accounts with an easy-to-use, web-based management console for monitoring system utilization, scheduling  backups, setting or modifying security parameters, spinning up additional cloud resources, and more.

IntelliCloud Security

Cloud computing has revolutionized the way organizations manage their business and data, but it has also brought a unique set of security concerns.  While some businesses are quick to embrace the agility and convenience of the cloud, others remain hesitant because of fear about data breaches and cybercrime.

Security is the number one priority for Teradata IntelliCloud services; support is delivered for every facet of cloud security including physical security, network security, data protection, monitoring, and access controls. Teradata designed its managed cloud services from the ground up to meet the  most advanced data security requirements, giving current and prospective customers the peace of mind that their data is private and secure with  Teradata. The company has invested in rigorous third party audits of its managed cloud offerings in order to demonstrate compliance with security  regulations and industry best practices such as ISO 27001, SOC 1, SOC 2, PCI, and HIPAA.

Teradata Market Leadership

Teradata is positioned as a leader in the Gartner 2017 Magic Quadrant for Data Management Solutions for Analytics [1] issued February 20, 2017. Gartner’s report opens by characterizing the market entering 2017: “Disruption is accelerating in this market, with more demand for broad solutions  that address multiple data types and offer distributed processing and repository. Cloud solutions are also gaining traction.” The report also addresses  rising expectations, commenting on the Leaders quadrant: “This Magic Quadrant has a lot of white space in the upper-right corner, indicating that the  market continues to demand more innovation and better execution to address the needs of combined cloud and on-premises deployment, as well  as cloud and big data combinations.”

As Teradata introduces more licensing flexibility, the value proposition of Teradata Everywhere™ is the market’s most attractive in that it provides  customer choice, flexibility, and performance at scale. The company offers innovative database license flexibility across hybrid cloud deployments,  enabled through a consistent and simplified licensing model that delivers: (i) portability for deployment flexibility; (ii) subscription-based licenses;  and (iii) simplified software tiers with bundled features. With portable database licenses, enterprises can now have the flexibility to choose, shift,  expand, and restructure their hybrid cloud environment by moving licenses between deployment options as their business needs change. This new software licensing model is the first in the hybrid cloud market to feature portability—a shift away from cloud lock-in or siloed on-premises deployments.

Combined with Teradata Aster Analytics and Hadoop support, as well as a wide range of business and industry-specific consulting services, Teradata  is well-positioned to help enterprises become market leaders. To ensure economic efficiencies, Teradata’s consulting team can provide potential and  estimated return on investment and strategic business impact projections for any analytic solution prior to the engagement.

Hybrid Cloud Analytics

It’s clear with the growth of hybrid cloud infrastructure that this is the future of data analytics. But many data analytics vendors are ambiguous at best  on the role that hybrid cloud plays in their offering. The fact is that the cloud is simply a delivery mechanism for an analytics solution, and it  doesn’t speak to the quality of the solution itself. What is categorically true is that enterprises today are combining on-premises, private, public, and  managed clouds in their infrastructure. To properly serve these adopters, analytics solutions need to emphasize five key ideas:

  • Transparency – A hybrid cloud analytics solution is completely transparent to the end users of where the data resides and where the analysis happens.
  • Location Enforcement – A properly governed solution enables organizations to define rules around where data and/or the analysis on that data  can be stored or run.
  • Orchestrated Entitlement – An organization needs to be able to easily manage entitlements and licensing for their user base across the hybrid  cloud solution.
  • Bi-Directional Migration – The solution must allow for bi-directional migration to/from one infrastructure environment to another in the hybrid cloud deployment.
  • Single Management Console – A hybrid cloud analytical solution should be managed as one seamless environment across infrastructure  boundaries—and so it should be managed via a single console.

The fundamental thing to remember across all these ideas is that the solution must allow the adopter to choose where or which cloud they use to pair  with their on-premises solution; that’s how the hybrid cloud environment can help the company realize true business value.

Summary

One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud  can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with  alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when  evaluating a cloud platform. We also focused on the experiences of a high-profile enterprise—Ticketmaster—during the company’s migration to the  cloud. Finally, we offered a top-tier cloud solution—Teradata IntelliCloud—as an excellent choice for transitioning from an on-premises system to one in the cloud.

If you prefer, the complete insideAI News technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights is available for download in PDF from the insideAI News White Paper Library, courtesy of Teradata.

 

[1] Gartner, Inc., Magic Quadrant for Data Warehouse Database Management Systems, Analysts Roxane Edjlali, Adam
M. Ronthal, Rick Greenwald, Mark A. Beyer, Donald Feinberg, February 20, 2017

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