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The Data Science Revolution

From the 2014 Milken Institute Global Conference, the presentation below includes a panel discussion led by Tim O’Reilly of O’Reilly Media. The panel includes representatives from companies like Rubicon Project, eBay, SAS and Ayasdi.

Antuit Acquires AuriQ Systems’ Japanese Business

Antuit, a global Big Data solutions company, announced the acquisition of AuriQ Systems Co., Ltd. (“AuriQ”), a Japanese subsidiary of AuriQ Systems, Inc., a leading provider of data management software solutions that help enterprises, data centers and e-businesses increase revenue and reduce operation costs.

insideBIGDATA Guide to Scientific Research

In this new insideBIGDATA Guide to Scientific Research, the goal is 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.

An Overview of Spark SQL

This article is the fourth in a series that explores a high-level view of how and why many companies are deploying Apache Spark as a solution for their big data technology requirements.

Advanced Data Science for Healthcare Scheduling Optimization

LeanTaaS iQueue is the flagship product of LeanTaaS. It applies advanced data science and machine learning to overcome healthcare scheduling complexity by optimizing the utilization of scarce resources in order to improve patient flow.

Topological Data Analysis for the Working Data Scientist

The talk below, “Topological Data Analysis for the Working Data Scientist” was presented at the SF Data Mining meetup group. Speaker Anthony Bak begins with a short review of the Mapper algorithm and discuss how to think about problems in the topological framework.

Machine Learning: Hottest Tech Trend in the Next 3-5 Years?

The featured talk focused on – by leveraging big data to allow computers to develop evolving behaviors, machine learning is vastly improving pattern recognition, allowing for broad application such as improved facial and speech recognition for application in many industries, especially national security.

Actian Survey Shows Legacy Data Management Platforms Breaking Under the Demands of Modern Analytic Workloads and Data Volumes

The ability of legacy data warehousing platforms and BI tools to glean insights from big data is decreasing exponentially as more sources of data are poured into them, according to a new survey involving more than 250 senior executives. The survey, sponsored by Actian Corporation, found analytic workloads are failing in traditional technology environments that are pervasive across enterprise networks.

WPI Receives U.S. Dept. of Education Funding to Address Shortage in Big Data Computing Professionals

Addressing a critical need for enhancing the nation’s capacity for computer science research and teaching, the U.S. Department of Education has granted Worcester Polytechnic Institute (WPI) $885,834 through its Graduate Assistance in Areas of National Need (GAANN) program. The funding will provide six needs-based fellowships for computer science PhD students who will study big data computing.

Looking at Spark from a Hadoop Lens

This article is the third in a series that explores a high-level view of how and why many companies are deploying Apache Spark as a solution for their big data technology requirements.