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Migrating to cloud: solving the big data problem

CTOvision

Read Alberto Pan’s article about how to solve the big data problem by migrating to cloud on Information Age : For many organizations, cloud computing is now a fact of life. Over the years, it’s established a reputation as the key to achieving maximum agility, flexibility, and scalability.

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Why Agile Data Science Practices Drive Big Data Impact

Social, Agile and Transformation

With the hot weather in the US northeast this weekend, I was able to catch up on some reading and research around big data, data science, and agile. In thinking about the culture required to leverage big data capabilities and data science programs, I found some interesting data worth sharing.

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Visualization, Big Data, and Agile Top Posts of 2013

Social, Agile and Transformation

Thanks to everyone for making Social, Agile, and Transformation a part of your reading, tweeting, sharing, and commenting in 2013. about me agile planning big data cio data scientist in the news' I confess that I wrote the post out of. I confess that I wrote the post out of.

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Big Data, Agile, CIO - 2012 in Review

Social, Agile and Transformation

Social, Agile, and Transformation. 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 Big Data, Agile, CIO - 2012 in Review.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.

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What are Seven Types of Big Data Debt

Social, Agile and Transformation

As more organizations have embarked on agile software development over the last five years as part of digital transformation programs, the term technical debt is more widely understood. Teams that develop code leave artifacts behind that require improvements, reengineering, refactoring, or wholesale rewriting.

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2014 Big Data Posts - Self Service BI, Agile Data Management Practices, and Killing Data Landfills

Social, Agile and Transformation

Specifically, I hope these posts educated readers that tools of "Data Science 1.0" such as Microsoft Excel, PowerPoint and especially Access can disrupt - even kill - efforts to make organizations become more data driven. agile planning big data cio it management organizational change'

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