Category: Big Data & Data Science

A recent article suggests that, in the “near future”, data analysts will be compensated based on performance. They will receive commission-based payments, rather like salesmen, rather that being paid purely for their time. This performance will presumably be determined by the impact that the data analyst has on the key goals of the organization, e.g. […]

In this article, we’ll use Microsoft’s Azure Machine Learning (ML) service to predict breast cancer diagnoses from test data. If you don’t have an Azure account, a free trial is available. Note that, at the time of writing, ML is in preview, so the details may change. However, the basic concepts should still apply. Obtaining […]

As the availability of high quality data continues to grow, the most successful organizations will be those that can draw value from it. This requires powerful analysis tools that can transform data into useful results. One such tool is R—a popular open-source language and environment for statistical analysis. In a recent survey, data scientists identified […]

Three things you need to know from the week of September 7 – 13, 2014 Apache Cassandra –  Cassandra continues to gather momentum as a preferred noSQL database, both in terms of commercial backing and performance. Apache Cassandra v2.1, was announced at September 11 at the Cassandra Summit. The most important change is a significant improvement in […]

And what can they do for my organization? The availability of large data sets presents new opportunities and challenges to organizations of all sizes. So what is Big Data? How can Hadoop help me solve problems in processing large, complex data sets? In this new video you will learn what is Hadoop, actual examples of […]