Apache Spark

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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Take the cognitive controls

The first airplane, “Flyer,” had two flight controls: a hip cradle and a wooden lever. The pilot could feel wind, navigate by sight and react by managing simple tools to manipulate the wings, the rudder and the elevator. A commercial airliner today has hundreds of controls for reacting to numerous systems in flight including hydraulics, […]

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Mainframe data becomes more accessible with Apache Spark

The rise of digital business has led to a proliferation of data types and sources – from location data to social media content – stored in disparate formats in an enterprise’s data centers or the public cloud. This data can be extremely valuable to organizations that want to engage their customers in real-time in new, […]

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“Apache Spark aficionados are in for a real shock”: Discover why at Strata

If you’re responsible for analyzing data, you are almost certainly acquainted with Apache Spark. There’s a strong chance you’ve already begun a development project, or at least kicked the tires. Very often Spark is positioned as a “better Hadoop,” but people rarely write about the aspect of Spark that is poised to revolutionize the way […]

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Putting Spark to work in the enterprise

In a world where global mobile data traffic grew an estimated 74 percent in 2015, and every day, we create 2.5 quintillion bytes of data, analyzing that data for valuable insights can be a daunting task. Business leaders have long understood that such insights, derived from these oceans of data, are where companies can gain […]

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Creating the foundation for a secure hybrid cloud

Companies across all industries are increasingly turning to a hybrid cloud model, combining their on-premise systems with the public cloud to open new opportunities for their businesses. By 2017, more than 80 percent of enterprise IT organizations will commit to hybrid cloud, according to the International Data Corporation (IDC). These enterprises see the potential for […]

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IBM + Spark = Blazing fast analytics

 In June 2015, IBM announced its support for Spark, calling it potentially the most significant open source project of the next decade. Since then, key advancements have been made by IBM, all aimed at helping enterprise clients to advance their analytics speed so they can derive business insights faster. Why Spark? Apache Spark is an […]

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