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Big Data Project Management: Data Must Flow!

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I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. Many if not most organizations still have a lot to learn when it comes to making use of emerging big data analysis techniques.

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AI In Project Management

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Read Ronald Schmelzer’s article in Forbes focusing on how AI is being used to transform project management. Ever since humans have had people and projects to manage, we’ve had challenges keeping the projects on time, on budget, and people on task.

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Federal Big Data Community Convenes 6 Feb at Apache Hadoop Forum

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By Bob Gourley If you are an analyst or executive or architect engaged in the analysis of big data, this is a “must attend” event. Registration is now open for the third annual Federal Big Data Apache Hadoop Forum! 6, as leaders from government and industry convene to share Big Data best practices.

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AFFIRM Panel: Kirit Amin’s Concepts Continue To Have Positive Influence In Government Business Models

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Kirit Amin , Deputy CIO and Chief Technology Officer, US Department of Commerce. Sonny Hashmi , Acting Chief Information Officer, General Services Administration. Param Soni , Chief Architect, Environmental Protection Agency. Pete Tseronis , Chief Technology Officer, Department of Energy.

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Attend the 6 Feb @Cloudera Federal Forum: For the Analyst, Data Scientist, #BigData Technologist in DC

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The speakers are a world-class-best mix of data and analysis practitioners, and from what I can tell the attendees will be the real action-oriented professionals from government really making things happen in Big Data analysis. Tom Reilly – Chief Executive Officer, Cloudera. 8:00 AM Opening Remarks.

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Regarding Big Data, One Manager’s “Resistance” Is Another Manager’s “Caution”

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M att Turck has some interesting things to say about “big data” in “ Is Big Data Still a Thing? The 2016 Big Data Landscape).” Add in sensor based and unstructured data and you have situation where traditional data management thinking may prove inadequate. How much time will it take?

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How Much “Data Science” Do You Really Need?

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Is it really true that "Nearly two-thirds of big data projects will fail to get beyond the pilot and experimentation phase in the next two years, and will end up being abandoned," as suggested by Steve Ranger last year in Your big data projects will probably fail, and here's why? .

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