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The streamlining of stream computing: Simplicity, agility, resilience

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Manager of Portfolio Strategy, IBM

The streamlining of stream computingI was honored to attend my first Spark Summit earlier this month. It was a good opportunity to dig deep into how data scientists and developers are using IBM’s big data offerings. I attended sessions on the connected car, detecting fraud and customer relationship management. The common theme across these sessions is that vendors are able to deliver enterprise-ready solutions. With the help of data scientists and developers, big data projects are rapidly moving from back office research projects to mission critical production systems.

There are several types of data scientists and developers involved with this evolution. Some are focused on building analytic models and others are more focused on coding algorithms that leverage these models. Both skill sets are in demand, and momentum continues to grow. 

The Harvard Business Review called the data scientist “the sexiest job of the 21st century.” In January 2015, Mashable called it “2015’s hottest profession.” Dice.com lists an average of 150 data scientist job postings every day. Booz Allen Hamilton launched a new 40 hour course for data scientists in Q4 2014.

It can be intimidating reading job posting and requirements—check out this job posting for a data scientist. However, in a recent survey from O’Reilly Media, knowing the tools of the trade is the key to success. 

One essential tool of the trade is stream computing. To support data scientists and developers, IBM is offering a virtual workshop (April 15 and 16, 10:00 a.m. to 5:00 p.m. US ET) focused on what’s new in IBM InfoSphere Streams v4.0. We will cover:

  • Streaming data through Microsoft Excel to enable analysis and visualization on continuously updating data.
  • Simple setup, high availability, and comprehensive monitoring and management. Administrators can configure InfoSphere Streams to be resilient and use a single console to manage multiple instances with common users and hosts.
  • More resilient processing of all streaming data. With simple annotation and high availability-compliant operators, developers can guarantee all data is processed.
  • New toolkits for development and application submission

With over 25 published case studies across healthcare, finance, energy and utilities and more, IBM InfoSphere Streams is truly enterprise tested. Join us to learn how you can infuse streaming analytics into your enterprise.

In addition to attending the virtual workshop, please check out Roger Rea's excellent recent blog providing an overview of new features in InfoSphere Streams 4.0.