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Advanced Degrees for Data Science, Predictive Analytics and Big Data

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In this special feature, Daniel D. Gutierrez, Managing Editor of insideBIGDATA discusses a question on many people’s minds these days – is an advanced degree required to become a data scientist and if so, what programs are available?

Cardinal Health: Improving Sales Performance with Data Blending & Advanced Analytics

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In the presentation below, the Nuclear Pharmaceutical Services division of Cardinal Health uses Alteryx to combine data from Salesforce.com, an Access Database, an Excel spreadsheet, and Teradata; then performs time series forecasting before writing the data back to a Teradata Datalab.

WPI to Launch the Nation’s First Interdisciplinary PhD Program in Data Science

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Worcester Polytechnic Institute (WPI), which launched one of the first master’s programs in data science in 2014, will offer the nation’s first interdisciplinary PhD program in the field beginning this fall.

Spark 101: Running Spark and MapReduce together in Production

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Clusters must be tuned properly to run memory-intensive systems like Spark, H2O, and Impala alongside traditional MapReduce jobs. This Hadoop Summit 2015 talk describes Altiscale’s experience running the new memory-intensive systems in production for its customers.

Hadoop 101: Learning the Core Elements of Hadoop

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A background in Hadoop can serve as a valuable differentiator for professionals interested in building new areas of expertise in managing and analyzing data. To address this need, MapR launched earlier this year a free, comprehensive On-Demand Training program that can lead to becoming a certified Hadoop professional.

Text Analytics Market to Reach $6.5 Billion by 2020

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According to a new market research report by Allied Market Research entitled “Global Text Analytics Market- Size, Industry Analysis, Trends, Growth and Forecast, 2014- 2020,” the global text analytics market has a potential to reach $6.5 billion by 2020.

Case Studies: Big Data and Scientific Research

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This is the fifth and final article in an editorial series with a goal to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.

Survey Finds Data Analytics Too Slow to Deliver Value for Most Companies

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Data Intensity announced the results of a survey it conducted with Researchscape International to gauge the current state of data analytics and what hurdles enterprises have yet to overcome.

Leading Computational Scientist Peter Coveney Keynotes at ISC Cloud & Big Data

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ISC Events, the organizer of the inaugural ISC Cloud & Big Data conference is pleased to announce Professor Peter V. Coveney of University College London (UCL) as the conference keynoter. Prof Coveney will be talking about the current state-of-the-art in the development of personalized medicine.

Big Data and Open Science Data

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This article is the fourth in an editorial series with a goal to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.