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Big Data Project Management: Data Must Flow!

CTOvision

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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Big Data Project Management: What’s In & What’s Out?

CTOvision

Here’s something to think about when you're planning a big data project: are you planning a project or a program ? Here's a simple distinction: A project typically has a beginning, middle, and end. In the real world the distinctions between these two “big dataproject types may not be so cut and dried.

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Why Big Data Project Management Can Be So Difficult

CTOvision

Big data is extremely beneficial to businesses, and gathering it is now easier than ever with today's technology. When it comes to the management of big data, therein lies the challenge. There are several reasons that managing big data remains a challenge. How to Manage the Big Data.

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Federal Big Data Community Convenes 6 Feb at Apache Hadoop Forum

CTOvision

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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AI In Project Management

CTOvision

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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November 12th Big Data Webinar

CTOvision

On November 12th join Hortonworks, HP, SAP, and American Digital for a webinar discussion on how to gain a competitive advantage and transform your business with Big Data. This webinar will highlight how you can turn raw data into insight - the insight that boosts your top and bottom lines.

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Handling real-time data operations in the enterprise

O'Reilly Media - Data

Getting DataOps right is crucial to your late-stage big data projects. At Strata 2017 , I premiered a new diagram to help teams understand why teams fail and when: Early on in projects, management and developers are responsible for the success of a project. A data pipeline needs love and attention.