But what if the open source community builds products that automate Big Data complexity on commodity hardware?
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Buying into companies like these is a bet that in a world awash in data and complexity, the firms that crunch the data will become more valuable.
AMD's server technology combined with SeaMicro technology provides customers with a range of processor choices and platforms that can help significantly reduce data center complexity, cost and energy consumption while improving performance.
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Every connection brings real business benefit, but it also brings more data, more complexity and more demand for picking needles from terabytes of haystack.
Machines can handle these data volumes and complexity.
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So the data are overwhelming in complexity, in volume, and in their implications.
There are two primary limitations: the immense size and variety of the data, and the complexity of the tools needed to tackle the datasets.
The problem has been the sheer complexity of the data and the ensuing processing and analysis of the information.
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Complexity: Complicated data structures and simple workflow is complicated.
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Although the Order in Actos outlines the predictive coding protocol in detail, it does little to illuminate the complexity related to data sampling techniques that are the backbone of predictive coding technology.
As my sketch below shows, an organization with a digital nervous system is characterized by a large number of inflows and outflows of data, a high level of networking, both internally and externally, increased data flow, and consequent complexity.
The size and complexity of this data, in combination with the focus on the creation of shareholder value through competitively superior decision-making, has required a unique process that has led to some conclusions contrary to emerging received wisdom, starting with an unconventional definition of Big Data.
For many companies, the sheer complexity of managing a data center so that it meets all regulatory, industry and governance requirements, and is also protected against all other types of data loss, is overwhelming.
Charges for DataSift depend on the filter's complexity and the amount of data delivered.
By harnessing the power of big data across business units, eBay is conquering complexity and gaining market share, even as it improves efficiencies and cuts costs.
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The Insight Deficit has evolved because data (and the systems that contain that data) continues to grow in size and complexity, and as social media grows as an important business and customer interaction channel.
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Issues to consider include ease of deployment, managing backup and data access, support, security, network complexity, device management, operating system diversity, total cost of ownership and integration of various tablet platforms at the application, mobile device management process and system level.
Is some amount of data collection unnecessary, perhaps even damaging by creating complexity and confusion?
Big Data offers big business gains, but hidden costs and complexity present barriers that organizations will struggle with.
This long-standing challenge for customers is aggravated by dramatic increases in cost and complexity amid a rising tide of sophisticated, data-intensive workloads in an increasingly interconnected world.
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Yet, in spite of this, and though the company's traditional business is combined with a fast-growing online money transfer business, the complexity does not lie with the sheer mass of data per se, he insists.
Marketing is one of the last business functions to integrate its data, processes and systems, and that has created tremendous fragmentation and complexity in proving ROI.
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We think this initiative eliminates unnecessary complexity and provides new levels of supportability and reliability to the modern data center.
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This ability eliminates all complexity associated with syncing files and delivers fast, local copies of data without having to move it into or out of the cloud.
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Unlike neatly defined science problems, which amaze more by their petabyte scale than their inherent complexity, virtual organisations are noteworthy because of their constantly shifting landscape of data and computer resources, and the authentication on which they rely.
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That they have not hired the right leadership for security, implemented the right program, and then taken the correct tactical steps (for Gawker: exercising an incident response plan, implementing password complexity and use requirements, having an intrusion management strategy, having a data breach plan) in the context of an overall information security strategy.
To put this complexity in perspective, Edmund Teller once estimated that the costs of building the data and computing infrastructure needed to extend weather forecasting abilities by about two weeks ran well into the trillions of dollars.
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One reason for scaling back, according to Ms. Newton: the complexity of dealing with the new Coppa, particularly the rules about third-party data collection and advertising.
While it would certainly be possible to reroute that data stream through a device that captures and archives it, such an effort would increase the complexity of a VoIP deployment and make it harder to manage.
However, I think Data Vault is still very usable to model the data, to structure it, to deal with issues like cascading updates and to cope with the overall complexity.
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