As businesses seek to maximize the value of vast new stores of available data, Northwestern University’s Master of Science in Predictive Analytics program prepares students to meet the growing demand in virtually every industry for data-driven leadership and problem solving.
In your world – numbers and data can save lives. Minutes and seconds absolutely matter. Whether engaged in genome sequencing, drug design, product analysis or risk management, life sciences research teams need high-performance technical environments with the ability to process massive amounts of data and support increasingly sophisticated simulations and analyses.
This article is the second in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.
Clustrix, has announced the launch of the latest version of ClustrixDB, purpose-built and optimized for fast growing e-commerce sites. Designed to meet the unique demands of today’s online retailers, ClustrixDB increases site throughput and availability, providing fault-tolerant performance during peak periods.
The rapid, accelerating growth of data, transactions, and digitally aware devices is straining today’s IT infrastructure. At the same time, storage costs are increasing and user expectations and cost pressures are rising. This staggering growth of data has led to the need for high-performance streaming, data access, and collaborative data sharing. So – how can elastic storage help?
Today at Big Data Innovation Summit 2014, GridGain Systems (www.GridGain.com), a leading innovator of open source in-memory computing solutions, announced the launch of the GridGain In-Memory Data Fabric, a comprehensive software solution that accelerates business operations and time to insights by enabling high-performance transactions, real-time streaming and ultra-fast analytics in a single, highly scalable data access and processing layer.