Apache Spark

How gravity can help your business move faster

The world of physics has long operated under the concept of gravity–the larger the mass of an object, the stronger the force pulling it toward Earth’s center. Those who understand and respect gravity find ways to move objects with less energy. Those who ignore gravity… well, they waste a lot of energy and see their […]

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Managing digital transformation: The Spark imperative

The flood of new sources of information or the “data tsunami” as it’s been called is creating tremendous new opportunities to understand our markets, our customers and our business operations. Those same opportunities are also being provided to our competitors. This means that how we respond to the challenge of harnessing that data and using […]

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Amp up your Spark: three keys to successful deployment

Today, the advantages of an integrated nationwide electricity infrastructure are obvious.  But in the early days of electrical power in the late 1800s, electricity was available only through small, isolated networks.  AC and DC grids competed with one another. This mishmash of isolated systems was costly, inefficient and inflexible. Now IT directors are often faced […]

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IBM Spectrum Conductor: Access, analyze and protect big data

If your organization uses data to gain competitive advantage, you’re looking to accelerate performance-intensive applications and extract full value from that data. As data volumes continue to explode in size, you’re probably asking: How do we accelerate results by rapidly and efficiently adopting next-generation analytics applications and open source frameworks such as Apache Spark? Are […]

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Powering up Apache Spark for the enterprise

The Apache Spark community and enterprise Spark adoption have both been growing rapidly. Many enterprises are now experimenting with Spark as an in-memory engine to accelerate many common analytics workloads. However early adoption often results in individual, isolated Spark clusters as different lines of business or functional groups set up their own infrastructure to learn […]

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More than vapor: The IT foundation to make cloud work

When someone says cloud, what do you think of? Fluffy-looking things in the sky? Something that stores photos or music out there somewhere? Maybe, it’s even a virtual instance of Linux on an x86 box? These are all common notions of cloud, but as the cloud becomes more pervasive we should think about it in […]

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Defining a new generation of software-defined infrastructure

IBM has announced the next evolution of its software-defined infrastructure, designed to speed analysis of data and simplify management of distributed environments. The new IBM Spectrum Computing portfolio of intelligent resource and workload management software is built for organizations that use data for competitive advantage and need to extract full value from that data—fast. Accelerating […]

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Get started on your cognitive journey: Part two

In Part 1, we talked about how to apply some of the Watson Languages services to help you gain insights from information that are hiding in your customers’ communication. Now we are going deeper to discuss how to apply machine learning, which is the core of a cognitive system, to guide your business operations. Apply […]

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New tool to drive Spark performance advancement and adoption

Apache Spark has emerged as a leading analytics framework, supplanting MapReduce in many cases. With Spark’s surging popularity, many firms’ IT groups want to avoid the cost, complexity and inefficiency of deploying separate Spark clusters. They are looking to deploy Spark as a centralized service yet have raised the same concern as they did when […]

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