Rethinking Data Integration

Deriving value from analytics requires organizations to prepare data for use, but today’s explosion of data volumes, types and sources makes this challenging. Moreover, information must be placed in an operational context to be acted upon. Because current integration methods cannot address all these needs, the results often are inflexible systems and data sprawl. Now, though, data preparation tools are available that enable virtualized access to multiple data sources, making it possible to deliver information promptly and in the appropriate contexts.
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Inktank Ceph Enterprise

Inktank’s mission is to transform storage with Ceph®, the massively scalable, open source, software-defined storage system that radically improves the economics and management of data management. Launched by leading Ceph developers, Inktank’s mission is to help enterprises use Ceph to break free of expensive and proprietary storage systems to decrease their storage costs, increase their operational flexibility, and effectively manage their rapidly growing data.

Inktank provides best-in-class professional services and support offerings to enterprises, service providers, and cloud platforms. By delivering enterprise-grade Ceph products and services, Inktank helps enterprises manage their storage in ways pioneered by Google and Amazon.

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Unlock Greater Value from DCIM with Asset Intelligence

"The data center is getting bigger and more complex and so too is the asset inventory. Every new asset has an impact on the day–to–day operations of the data center – from power consumption and problem resolution to capacity planning and change management. To achieve – and maintain – operational excellence, organizations don’t just need to know the location of their data center assets, they need to know if they are over-heating, under–performing or sitting idle."
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Evolved Capacity Management

Effective capacity management has become a critical differentiator for IT organizations. Those that can’t effectively evolve their capacity management practice will continue to struggle with complexity and negligible insights into capacity sizing and the impact of changing demand and resulting service/application performance. However, those that gain advanced capacity management capabilities will be able to more effectively right-size investments, support key IT projects, and align resources with business objectives. This paper offers a practical look at capacity management, outlining the six key steps IT organizations can take to realize capacity management that delivers maximum value.
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Facebook Uses CA Technologies as the Foundation for its Broad DCIM Platform

Facebook is aiming to bring together data from IT, facilities and application development operations to facilitate workflow management and automation for greater operational efficiency of its datacenters. To that end, the company is developing an atypically extensive datacenter management software platform, which it has begun to deploy in some of its facilities. Facebook's datacenter infrastructure management (DCIM) system is 'hybrid' in that it includes both homegrown and commercial components.
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VMware vSphere Backups: What are you Missing?

Backups used to be easy. Just check the time stamp or the archive bit. If it changed, then back up the file.

Suddenly virtualization became popular, as did server applications. The unstructured data inside files and folders found itself sharing the datacenter with all manner of applications and databases. Virtual machines (VMs) joined physical machines as the method of delivering IT services.

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IBM DB2 for SAP: A No-Compromise Transactional and Analytic Database Platform

This white paper is written for SAP customers evaluating their infrastructure choices, discussing database technology evolution and options available. It is not easy to put forth a black-and-white choice as the SAP workloads straddle both real-time analytics and extreme transaction processing, and infrastructure choices can now be vast, given technology advancements around in-memory and faster processing speeds.
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The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making

This article has three purposes: First, to explain the difference in how structured and unstructured data are used in decision making. Second, give examples of how companies realized business value using unstructured data. Third, provide guidance for how companies can realize similar business value using unstructured data, and why picking the right servers and software can make a difference.
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Softwaredefinierter Speicher: Weniger Speicherkosten, bessere Service-Levels

Einer aktuellen Umfrage der IDC zufolge erwägen rund 35 % der Unternehmen eine Investition in softwaredefinierte Speicherlösungen (SDS) im Jahr 2014. Dies stimmt mit den Ergebnissen von IDC-Gesprächen mit IT-Entscheidern überein, welche ihre Speicherarchitekturen der nächsten Generation entsprechend den steigenden Geschäftsanforderungen entwickeln und dabei die ITKosten reduzieren möchten.
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Mit Virtualisierung verborgene Speicher-Schätze heben

Die Flut der digitalen Informationen ist für das menschliche Hirn schon lang nicht mehr fassbar. Auch die Speichersysteme der Unternehmensnetze gelangen aufgrund dieses rasanten Wachstums ständig an ihre Grenzen. Mit Virtualisierungslösungen, die versteckte Kapazitäten aufspüren und nutzen, lässt sich viel Geld sparen. SANsymphony von DataCore Software hilft, die Speichereinheiten im Rechenzentrum zu optimieren und Administrations-Prozesse zu vereinfachen. Darüber hinaus sorgt die Lösung für transparente Kostenstrukturen.
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