Spark on z/OS and Jupyter: fast, flexible analysis of mainframe data

Many enterprises are faced with the need to expand data processing access to users without impacting mission-critical transactional application environments. The trending approach to this problem is to move the data from these systems of record to a data warehouse. Moving data-at-rest to a mirrored data repository for analytics can yield costly side-effects such as expensive migration workloads, data concurrency and […]

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jStart Spark Data Analysis Projects for Clients

  During the IBM InterConnect 2016 conference, Scott Laningham asked me about the mission of the IBM jStart team and about our team’s Spark data analytics projects with various clients such as SolutionInc and USA Cycling Women’s Team Pursuit. Why Spark?  Spark provides data analysts, data scientists, and even line of business users the ability to find new patterns in data, […]

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Powered By Jupyter: A Survey of the Project Ecosystem

Project Jupyter has a large and growing developer community, one that both includes and extends beyond the Jupyter org on GitHub. In this post, we’ll take a walk through the wonderful things people are building based on Jupyter technology today. The Jupyter Notebook is the most well-known application in the Jupyter ecosystem. It is a web-based environment for combining text, […]

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Creating a Cloud Foundry plugin to automate Cloudant replication

In February, Lee Surprenant published Configure and run a multiregion Bluemix application with IBM Cloudant and Dyn. He explained how, when building robust cloud applications on Bluemix, one should consider a multiregion architecture. This allows developers to incorporate active failover and geographical load balancing into their applications. However, when working with multiregion applications, keeping dynamic content in sync across regions can be […]

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Getting “Things” Moving

Minimizing Time-to-Value for IoT Solutions with IBM Technology Emerging Technologies specializes in creating business value for IBM’s clients using new and innovative technology. That tech comes from many sources including research, open source and, indeed, Emerging Technologies itself. One major source is the steady flow of new tech from IBM’s own research and development teams, and Emerging Technologies often works […]

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