GigaOM » George Gilbert Archives

How to manage big data without breaking the bank

Tue, 30 Apr 2013 15:55:18 +0000

In the tsunami of experimentation, investment, and deployment of systems that analyze big data, vendors have seemingly been trying approaches at two extremes—either embracing the Hadoop ecosystem or building increasingly sophisticated query capabilities into database management system (DBMS) engines.For some use cases, there appears to be room for a third approach that lies between the extremes and borrows from the best of each.

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Real-time query for Hadoop democratizes access to big data analytics

Wed, 07 Nov 2012 07:55:09 +0000

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A guide to big data workload-management challenges

Tue, 19 Jun 2012 06:55:17 +0000

The explosive growth in the volume, velocity, variety and complexity of data now challenges the traditional enterprise application vendors, and new applications have emerged that are real-time, massively scalable and have closed-loop analytics. This paper is targeted at technology-aware business executives, IT generalists and those who recognize that many emerging applications need new data-management foundations. It surveys this class of applications from several high-level perspectives: the characteristics of the data, the distinctiveness of the new class of applications, and the emerging database technologies that support them. In particular, it focuses on the class of systems with a rich data model typified by Cassandra.

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Report: Evolution of The Private Cloud

Tue, 11 May 2010 14:00:15 +0000

Every 15 years or so, the IT world undergoes a tectonic shift. Technological forces collide and grind against one another, creating an upheaval that leaves the landscape irrevocably changed. The latest such shift is currently underway: the transition to computing as a service, also known as cloud computing. This change promises to make computing more like a utility such as electricity or telephony — users plug in and get the resources they need without much manual effort on the part of service providers.

Cloud computing has brought these benefits to Internet titans like Google, Salesforce.com and Amazon, and to their customers. Traditional enterprise IT has long aspired to the same advantages, but with a crucial distinction. Businesses want the option of greater control over governance, security and management that comes with using their own infrastructure. This report looks at the future for hardware and software in enterprise adoption of cloud-like systems, or “private clouds,” as well as the role that major players are likely to take in its ongoing development.

What VMware’s SpringSource Acquisition Means for Microsoft

Tue, 18 Aug 2009 14:00:49 +0000

On Aug. 10, 2009, VMware announced a definitive agreement to acquire privately held open source Java application framework and platform developer SpringSource for $420 million ($331 million in cash, $31 million in equity for vested options, $58 million for unvested stocks/options). Customers will ultimately care about VMware’s acquisition of SpringSource because together the two will be able to offer a tightly integrated enterprise and cloud application platform similar to Microsoft’s server products, including the .NET application frameworks, Windows Server application runtime platform, and Systems Center management product offerings. The tight integration that VMware, Microsoft, and ultimately IBM and Oracle, aspire to offer — with slightly different approaches — is critical for bringing down dramatically the TCO of enterprise and cloud applications built on these platforms. This note examines the acquisition and its impact on a brewing battle between Microsoft and VMware.

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GigaOM » George Gilbert Archives

How to manage big data without breaking the bank

Real-­time query for Hadoop democratizes access to big data analytics

A guide to big data workload-management challenges

Report: Evolution of The Private Cloud

What VMware’s SpringSource Acquisition Means for Microsoft

Real-time query for Hadoop democratizes access to big data analytics