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Big Data Enters 2015

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As we enter the new and exciting year 2015, the big data industry is well poised to achieve some truly great things. Our friends a DataRPM put together the compelling infographic below, “The Dawn of Smart Enterprise,” to highlight their predictions for how big data will advance in the coming year.

Ask a Data Scientist: Becoming a Data Scientist

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This is the last of our reader submitted questions of varying levels of technical detail answered by a practicing data scientist. This week’s question is from a reader who asks about becoming a data scientist.

Big Data Industry Predictions for 2015

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As 2014 draws to a close, here at insideBIGDATA we’re trying to cool our heels a bit to reflect on the amazing year we had for Big Data. We thought it would be interesting to put together a 2015 Predictions article that included perspectives from many of our new (and old) industry friends. Below, is a compilation of some of the most compelling predictions we heard.

UCLA Institute to Help Biologists, Doctors Mine Big Data

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BIG DATA CASE STUDY UCLA announced a new institute to help medical and biology researchers make sense of Big Data. Millions upon millions of medical records and test results. Countless DNA sequences. Hard drives stuffed with images of all kinds – pictures of cells, scans of body parts. It’s all part of the deluge of […]

Ask a Data Scientist: Ensemble Methods

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks about ensemble methods and how you use them.

The Hidden Costs of Open Source

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While Linux clusters dominate HPC, there are many issues related to cost and complexity that can make open-source solutions challenging. In addition, determining real costs can be complex because every environment is different, and organizations will assess costs using their own methodologies and based on their own requirements and capabilities.

What’s Hot & What’s Not in Data Science 2015

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In addition to analyzing data, our friends over at CrowdFlower — a people-powered data enrichment platform — has an affinity for lists. This year, they asked their team of data scientists to come up with what they think will be “hot” or “not” in their world for 2015.

New Research Shows Businesses are Investing Heavily in Big Data Analytics

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Big data is more than a buzzword, as proven by how fast organizations are adopting new analytics technologies to obtain business value from it. That is the key takeaway from a Luth Research survey of large organizations currently using big data analytics software or planning to use it in the next 12 months.

FoundationDB Extends Performance & Scalability with Version 3.0

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FoundationDB®, the company behind database software that combines scalability and consistency, has announced version 3.0 of its flagship product, the FoundationDB Key-Value Store. Version 3.0 offers enhanced performance and monitoring capabilities while maintaining transactional integrity, scalability and fault tolerance for operational workloads in the cloud or on premise.

Ask a Data Scientist: Confounding Variables

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks for an explanation of confounding variables and why they’re important in data science projects.