Big Data and Biomedical Research

Big Data and Biomedical Research

A Slow-Starting Relationship Heats Up Biomedical researchers are experts at studying high-volume data sets to describe complex molecules, disease processes and genetic sequencing. But as a group, they’ve been slow to adopt Big Data analytics tools and procedures. But...
Develop Serious Data Analytics Chops with Advanced Software

Develop Serious Data Analytics Chops with Advanced Software

In earlier posts, we’ve reviewed how users can use the latest data discovery and exploration software to get business insight without a PhD. Now, we get to the heart of the matter—analytics. Although there’s plenty to talk about, we’ll concentrate on two important...
More Data Science Magic: Visualizing and Sharing Results

More Data Science Magic: Visualizing and Sharing Results

In our previous post, we described what business users could accomplish during data discovery, selection and analysis. We used the TIBCO Spotfire, Tableau Desktop and Hortonworks Platform tools to show how business users can build serious data scientist chops without...
Making the R Language Your Own

Making the R Language Your Own

We start our second installment of how to move from SAS to R by taking a brief look at the history of the R language. Then, we’ll talk about getting the software installed and set up on your local machine. No Spring Chicken, R Has Been Around for Quite a While It...
Stepping Up to Big Data Analytics: Hadoop and TERR

Stepping Up to Big Data Analytics: Hadoop and TERR

Big Data analytics is the analysis of data sets that often contain many types of data. It’s designed to help companies extract value from huge volumes of data. The goal: find hidden patterns, market trends and other useful business information to enable more accurate...
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