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How Big Data is Changing the Business World

 It’s very easy to assume that any new term that emerges in the tech world will just be a buzzword, with no real significance to anything of use. For the past couple of years the term ‘Big Data’ has often been labelled as such, but with plenty of corporate enterprises now on board with big data analytics, it’s time for those two words to shed any connotations of inflated bombast and for the rest of us to start taking note. Big data is changing the world of business, and isn’t going anywhere anytime soon.

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Google, Big Data, and a New Cloud Service

With Big Data projects, the challenge is to clean and filter the huge amounts of information involved. It takes a lot of work to get to the point where business value can be extracted.

Over the coming year, Google will focus on releasing cloud tools and services that ease development tasks, while helping companies monitor their Big Data operations. At their I/O developer conference in June, the company unveiled a number of new products to achieve this.

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Why Cloud Computing Could Save the Planet

Cloud computing is an attractive proposition for any organisation not wanting to manage its data in-house, for several reasons:

  • Reduction in up-front capital investment, on infrastructure.

  • New cloud-based servers can be up and running in minutes, rather than weeks.

  • Flexibility, as companies need only pay for the capacity they actually use.

  • Elimination of maintenance costs related to occasional spikes in demand.

  • Increased automation and process efficiency.

  • Added levels of service, and technological expertise.

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The Cloud and Data as an International Currency

When people and organisations talk about putting information in “the cloud,” data is moved outside their premises, often to a service rented on-demand from large-scale providers like Google, Microsoft, or Amazon.  Cloud storage enables people to gather, retain and generate huge amounts of data – and to derive actionable intelligence from it.

Technological innovation has turned this information into a valuable corporate asset.

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Why you should Consider Automating your Infrastructure

Virtualisation is the practice of running event or process simulations on a desktop, or through the cloud. It can be useful in creating models or scenarios for new products or scheduled events.

 For IT administrators, virtualisation cuts down on hardware costs and maintenance, but adds a host of new management tasks. Performing each job of monitoring, provisioning or maintenance is not only time-consuming, but leaves room for human error.

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Why the Data Storage Industry is Changing

For years organisations have been grappling with data backup and recovery issues. Like the need to decide what data needs to be kept in near-term storage for easy access, what can live at a second level where it’s still accessible (perhaps not immediately), and what can be kept in deep archives.

Big Problems

The rise of Big Data brings fresh dilemmas. Besides scale, there are characteristics of Big Data management that distinguish it from traditional approaches.

Big Data analysis often involves large data stores that are really only useful for a short period. Once the analysis is over, the data has served its purpose. The question arises as to whether it’s worth keeping at all, much less backing up.

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Why GoodData and HP Vertica have Collaborated

And, why should you care? Well, the partnership brings together two companies from opposing ends of the data analysis / management spectrum – and could light the way for future collaborations in this sector.

The Players

GoodData is a rising star in the field of cloud analytics. The venture-backed start-up recently introduced an Open Analytics Platform to provide a comprehensive set of services spanning the entire analytics lifecycle, from initial collection of records to data processing, visualisation and business intelligence.

With analysis conducted on the fly, GoodData is designed to be very easy for even non-technical business people to use.

Vertica is a high-performance columnar database which Hewlett-Packard acquired from Vertica Systems in 2011. Built to handle really large amounts of data, Vertica is better tailored to address the performance and scalability requirements of enterprise customers.

The Rationale

A key challenge faced by organisations today is the need for speed, high availability, and flexibility of data and analytics. Traditional solutions weren’t built to handle the variety and volume of data flowing through data-driven companies.

Amid increasing demand for its service, GoodData has in effect signed up as a customer of HP Vertica,

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