Why Every Python Developer Will Love Ray

There are many reasons why Python has emerged as the number one language for data science. It's easy to get started and relatively forgiving for beginners, yet it's also powerful and extensible enough for experts to take Read more…

How In-Memory Data Grids Can Analyze Fast-Changing Data in Real-Time

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The ability to continuously analyze operational data unlocks the potential for organizations to extract important patterns. Popular big data systems are not well suited for this challenge. However, in-memory data grid technology (IMDGs) offers important breakthroughs that enable real-time analysis of operational data. Benchmarks have demonstrated that an IMDG can complete map/reduce analyses every four seconds across a changing, terabyte data set. This article discusses how IMDGs deliver this new capability to analyze fast-changing, operational data. Read more…

A Bet Against Hadoop That Hopes to Deliver Big Gains

Two years ago, Greenplum veteran Ben Werther made a bet against Hadoop that led him on a journey to improve how enterprises could utilize and provide access to the data housed in the platform. This week, the company he founded, Platfora, launches the in-memory analytics platform that is the culmination of that bet. Read more…

Scaled out Music, Scaled down Infrastructure

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If you’re one of the 175 million Pandora users, then you have surely experienced the excitement of having the Internet's most popular radio station introduce you to a brand-new artist or song. While it may seem like magic, there is a perfectly logical explanation behind Pandora’s ability to seemingly read your mind and know your taste in music. The true magic behind Pandora lies hidden in the numbers and data collected from music analysis, personalization, and the music delivery methods it uses. Read more…

How In-Memory Data Grids Can Analyze Fast-Changing Data in Real-Time

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Continuous analysis of fast-changing operational data unlocks the potential to extract important patterns. Big data systems such as Hadoop are not well suited for this challenge, however, in-memory data grids (IMDGs) offer breakthroughs that enable real-time analysis of fast-changing data. Recent measurements demonstrate that an IMDG can deliver a complete map/reduce analysis every four seconds across a terabyte data set which is being updated continuously.<br /> Read more…

A Strong ARM for Big Data

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Burgeoning data growth is one of the foremost challenges facing IT and businesses today. Multiple analyst groups, including Gartner, have reported that information volume is growing at a minimum rate of 59 percent annually. At the same time, companies increasingly are mining this data for invaluable business insight that can give them a competitive advantage. Read more…