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“Important Questions About The Human Condition Should Be Addressed with Data Science”: An Interview with Data Scientist Thomas Levi.

By Peadar Coyle on May 29, 2015 10:30 am
5193807292_d0e861cbf5_bThomas Levi is a Data Scientist at Plenty of Fish (POF), a free online dating website based in Vancouver. Thomas has a background in theoretical physics and at one point worked in string theory. Much of his work has involved topic models and other cool algorithms Follow Peadar’s series of interviews with data scientists here. .What project have you worked on do you wish you could go back to, and do better? You know, that’s a really hard question. The one that comes to mind is a study I did on user churn. The idea was to look at the first few hours or the first day of a user’s experience on the site and see if I could predict which windows would still be active at different times. The goal...
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4 Reasons To Scale Operational Applications On Hadoop

By Monte Zweben on May 26, 2015 10:30 am
5150336351_ae2a64336a_bPowering real-time applications involves scaling not only existing enterprise applications, but also new applications that have emerged from the web, social media, and mobile devices. Overwhelmed by massive data growth, businesses must carefully select cost-effective technologies that can enable applications to easily manage both the data volumes of today and its exponential growth in the future. Business applications commonly access data using Structured Query Language (SQL) through legacy relational database management systems (RDBMSs), such as Oracle Database, IBM DB2, or MySQL. However, many existing SQL applications are being overwhelmed by data growth because the legacy RDBMSs that support them often hit a wall, either from a cost or performance perspective. Scaling up these systems can result in having to invest in expensive database hardware replacements, or migrating to alternative technologies,...
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