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Modeling Slides: Graph Databases – Where Do We Do the Modeling Part?

By   /  May 2, 2016  /  Conference and Webinar Communities, Data Education, Data Management Slide Presentations, Data Modeling News, Articles, & Education, Data Modeling Slide Presentations, Education Resources For Use & Management of Data, Heart of Data Modeling Community, NoSQL News, Articles, & Education, NoSQL Slide Presentations, Webinar Communities For the Data Industry  /  No Comments

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Graph Databases – Where Do We Do the Modeling Part? from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar Graph processing and graph databases have been with us for a while. However, since their physical implementations are the same for every database in production (Node connected to node, […]

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Embracing Big Data Tools: Lessons Learned at EDW 2016

By   /  May 2, 2016  /  Big Data News, Big Data News, Articles, & Education, Data Daily | Data News, Data Education, Education Resources For Use & Management of Data, NoSQL News, NoSQL News, Articles, & Education  /  No Comments

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by Angela Guess Jack Vaughan reports in Search Data Management, “The onslaught of big data, with its high data volumes and diverse data structures, has given rise to new technologies in the form of NoSQL, Hadoop, Spark and the like. NoSQL, particularly, calls for changes in established data modeling techniques. Some basic learning is in […]

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Case Study: Business Intelligence at the NFL

By   /  May 2, 2016  /  Business Intelligence News, Business Intelligence News, Articles, & Education, Data Daily | Data News, Data Education, Education Resources For Use & Management of Data  /  No Comments

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by Angela Guess Marius Moscovici recently wrote in Datanami, “When people think of leaders in business intelligence, the National Football League probably isn’t the first to come to mind. After all, the league just hired its first chief information officer three years ago, and it’s more well-known for bone-crunching hits than for information technology. Appearances […]

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How to Avoid Becoming Data Rich But Insight Poor

By   /  May 2, 2016  /  Big Data News, Big Data News, Articles, & Education, Data Daily | Data News, Data Education, Education Resources For Use & Management of Data  /  No Comments

Money

by Angela Guess Bernard Marr recently wrote in Forbes, “Most companies I interact with already have too much data. With this post, I would like to make the point that people and companies already can’t cope with the data they have today, let alone the data that is around the corner. Most of them believe […]

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CIOs Need to Invest in Machine Learning Now

By   /  May 2, 2016  /  Data Daily | Data News, Data Education, Education Resources For Use & Management of Data, Smart Data News, Smart Data News, Articles, & Education  /  No Comments

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by Angela Guess Martha Heller recently wrote in CIO.com, “Sure, machine learning has already had a significant impact on the worlds of science and culture, and in life, but it will be years before CIOs need to start worrying about enterprise machine learning applications… right? No. That’s not true, according to Dan Olley, CTO of […]

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The Design Element of the Internet of Things

By   /  May 2, 2016  /  Data Daily | Data News, Data Education, Education Resources For Use & Management of Data, Smart Data News, Smart Data News, Articles, & Education  /  No Comments

Wind turbine blades

by Angela Guess Scott A. Nelson and Paul Metaxatos recently wrote in the Harvard Business Review, “Gartner Research predicts that the typical family home will contain as many as 500 networked devices by 2020. Similarly, Ericsson forecasts 50 billion connected ‘things’ by the same date. Reaching these lofty projections over the next four years, however, […]

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Will Data Scientists Soon Be Obsolete?

By   /  April 29, 2016  /  Data Daily | Data News, Data Education, Data Science News, Data Science News, Articles, & Education, Education Resources For Use & Management of Data  /  No Comments

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by Angela Guess Bernard Marr recently opined in Forbes, “The job of data scientist — the quintessential big data job, and the job that was just voted the best job in America for 2016 — is at risk. Data scientists have been called ‘unicorns’ because finding the right person with the right set of skills […]

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UK to Set Up a Council of Data Science Ethics

By   /  April 29, 2016  /  Data Daily | Data News, Data Education, Data Science News, Data Science News, Articles, & Education, Education Resources For Use & Management of Data  /  No Comments

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by Angela Guess Rebecca Bazeley recently wrote in PHG Foundation, “The UK Government is to set up a Council of Data Science Ethics. The development comes in response to recommendations from the Science and Technology Committee’s report The big data dilemma published earlier this year. The Council of Data Science Ethics will be established within […]

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Industrializing Data Analytics

By   /  April 29, 2016  /  Big Data News, Big Data News, Articles, & Education, Data Daily | Data News, Data Education, Education Resources For Use & Management of Data  /  No Comments

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by Angela Guess Rajeev Ronanki, Ashish Verma, David Pierce, and Mark Shilling of Deloitte recently wrote in The Wall Street Journal, “Perhaps Ann Winblad, senior partner at technology venture capital firm Hummer-Winblad, said it best: ‘Data is the new oil.’ Against this backdrop, it seems almost illogical that few companies are making the investments needed […]

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How Cognitive Computing is Reshaping the IT Landscape

By   /  April 29, 2016  /  Data Daily | Data News, Data Education, Education Resources For Use & Management of Data, Smart Data News, Smart Data News, Articles, & Education  /  No Comments

Exercise Plays Vital Role Maintaining Brain Health

by Angela Guess Scott Crowder recently wrote in Data Informed, “When most people think about artificial intelligence and cognitive computing, they think of futuristic technological landscapes overrun with evil robots. But a growing number of business and IT leaders are beginning to grasp how cognitive computing is radically reshaping the present IT landscape. This next […]

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