Big Data Data Enterprise Project Management 
CTOvision
OCTOBER 26, 2015
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.
CTOvision
SEPTEMBER 21, 2015
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 data” project types may not be so cut and dried.
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CTOvision
JANUARY 7, 2016
If data analysis is Big Data’s "tip of the spear" when it comes to delivering data-dependent value to customers or clients, we also must address how that spear is shaped, sharpened, aimed, and thrown – and, of course, whether or not it hits its intended target.”. Data sharing. Data standards. Data analysis.
CTOvision
DECEMBER 21, 2013
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.
CTOvision
FEBRUARY 9, 2016
M att Turck has some interesting things to say about “big data” in “ Is Big Data Still a Thing? The 2016 Big Data Landscape).” Data intensive “digital native” companies (e.g., have been in the forefront because they’re already data-centric. Data intensive “digital native” companies (e.g.,
Social, Agile and Transformation
MAY 16, 2013
I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 Transforming to a Big Data Organization. How big is your data? -
CIO Business Intelligence
OCTOBER 13, 2023
Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.
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