Teradata pitches private Cloud data warehousing

A private Cloud data warehouse from Teradata is pitched to address an incredible pain point with CIOs by ensuring computing resources are optimised, and completely utilised.

The company argues that by consolidating data warehouse servers onto a Teradata ADW Private Cloud, computing resources may be fully utilised and bring ROI on a 7X24 basis without the performance penalty of more traditional virtualization approaches.

In addition to reducing the selection of servers and storage, a Teradata ADW Private Cloud also delivers both capital and operating expense savings, including labour, data centre space, power and cooling. 

“Leading companies have consolidated underutilised servers and storage onto a Teradata ADW Private Cloud, reducing costs – while increasing utilization in their IT resources,” said Scott Gnau, president, Teradata Labs. “By eliminating data marts, many with only 10-20 percent utilisation, companies can consolidate onto a Teradata ADW Private Cloud running at 90 to 100% utilisation.”

Furthermore, by consolidating data marts onto a Teradata ADW Private Cloud, companies can integrate the information, which provides users a unified version of the foremost relevant data- more quickly and at less cost – for better business intelligence across disciplines and processes.

Teradata argues that there are a selection of key characteristics of a Teradata ADW Private Cloud:

  • Virtualised resources – Teradata virtualises all processing and storage so users would not have to be anxious in regards to the location or availability of system resources, only that they’re getting timely answers to all their business questions automatically without performance penalty.
  • Business analytics – a Teradata Data Lab makes it easier for business users to explore unique data sets or prototype new analytic ideas.
  • Consistent performance – enables IT to satisfy business user service level agreements and to be sure user satisfaction by leveraging Teradata’s industry leading workload management in addition to key technologies akin to hybrid storage and columnar.
  • Elasticity – delivers the analytic resources dynamically and in real time as business user demand increases and decreases
  • Scalability – enables our surroundings to scale seamlessly across multiple dimensions including choice of users, collection of queries, and information volumes with support for data scalability as much as 92 petabytes.

If you are a very largeTeradata customer, the firm may be now offering Elastic Performance on Demand to accelerate and facilitate a personal Cloud, pay-per-use model. Organisations can ddress sudden surges in business activity, driven by such events because the launch of major marketing campaigns, or unexpectedly high demands in fad-driven manufacturing orders, or seasonal demand swings including holiday promotions.

“Today’s global business environment may be volatile and consumer demands can shift rapidly. Consequently unpredictability, it’s sometimes difficult for CIOs to adequately plan for data warehouse capacity needs,” Gnau explained. “Teradata delivers instant and elastic resources behind the curtain so businesses can scale up or down as business conditions fluctuate.”

ombination of on-demand provisioning, an elastic model for adding and removing resources at any time, and pay-for-use pricing bring the main cost and agility benefits of cloud computing to the information warehouse,” said Mark Madsen, president of Third Nature, an IT analyst firm. “The cloud is the way forward for IT infrastructure but public cloud offerings don’t meet the performance and availability requirements of BI workloads today. For the near future we’d like private cloud offerings like this.”

“Through our Teradata ADW Private Cloud, we’re the only data warehousing company providing CIOs a tremendous return on investment with fully utilized computing resources, while delivering to business users the versatility of self-service data warehouse resource provisioning — and it’s available to customers today,” Gnau said.

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