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Teradata Active Data Warehouses Adds Private Cloud Capabilities
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  • Teradata Active Data Warehouses Adds Private Cloud Capabilities

Teradata Active Data Warehouses Adds Private Cloud Capabilities

FP Archives • February 2, 2017, 23:33:46 IST
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Teradata ADW Private Cloud brings greater resource utilisation, self-service to data-driven companies.

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Teradata Active Data Warehouses Adds Private Cloud Capabilities

Greater utilisation of processing power has been a key driver and sought-after benefit of corporate private cloud computing implementations – to centralise and share computing resources and increase utilisation to 60 percent or higher. Today, only about 25 percent of the available processing power of virtualised servers is being utilised by many companies that adopt virtualisation, said a Gartner analyst. Teradata has announced new private cloud capabilities to help companies effectively realise greater utilisation.

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Teradata’s Active Data Warehouses (ADW) have been providing customers with 90 to 100 percent utilisation for years. The consolidation and centralisation of numerous under-utilised, disparate data marts has resulted in data and analytics being more efficiently shared from one, centralised ADW among multiple organisations and thousands of users. In addition to the utilisation benefits of an integrated, private cloud approach, the Teradata ADW Private Cloud provides customers with richer insights for better decisions and competitive advantage.

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As a data warehouse private cloud, the Teradata ADW directly addresses a major pain point with CIOs by ensuring computing resources are optimised, and fully utilised - a significant economic advantage to any IT organisation. By consolidating data warehouse servers onto a Teradata ADW Private Cloud, IT executives and their teams can be certain that their computing resources are fully utilised and producing ROI on a 7X24 basis.

In addition to reducing the number 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. With the unique architecture of a Teradata ADW Private Cloud, companies can gain benefits without the performance penalty of more traditional virtualisation approaches.

“Leading companies have consolidated underutilised servers and storage onto a Teradata ADW Private Cloud, reducing costs – while increasing utilisation of 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 percent utilisation.”

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

Teradata will also deliver Elastic Performance on Demand to accelerate and facilitate a private cloud, pay-per-use model.

“Today’s global business environment can be volatile and consumer demands can shift rapidly. Because of this unpredictability, it is sometimes difficult for CIOs to adequately plan for data warehouse capacity needs,” Gnau added. “Teradata can provide instant and elastic resources behind the scenes so businesses can scale up or down as business conditions fluctuate.”

With the release of Elastic Performance on Demand for a Teradata ADW Private Cloud, users can seamlessly address sudden surges in business activity, driven by such events as the launch of major marketing campaigns, or unexpectedly high demands in fad-driven manufacturing orders, or seasonal demand swings including holiday promotions.

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

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