Consider modern enterprise IT infrastructure. Increasingly, it is a complex combination of on premise computing and storage and off premise, cloud-based resources. Tying all of this together is a web of data connections. Applications can run either in the cloud or locally, and all of this is subject to penetration by bad actors. Combine this… Continue reading IDG Contributor Network: Big data: enabling new approaches to IT infrastructure security
A distributed file system, a MapReduce programming framework, and an extended family of tools for processing huge data sets on large clusters of commodity hardware, Hadoop has been synonymous with “big data” for more than a decade. But no technology can hold the spotlight forever. To read this article in full, please click here (Insider… Continue reading 3 big data platforms look beyond Hadoop
The big data landscape has exploded in an incredibly short amount of time. It was just in 2013 that the term “big data” was added to the pages of the Oxford English Dictionary. Fewer than five years later, 2.5 quintillion bytes of data is being generated every day. In response to the creation of such… Continue reading IDG Contributor Network: Data lakes: Just a swamp without data governance and catalog
According to a recent report from IDC, “worldwide revenues for big data and business analytics will grow from nearly $122 billion in 2015 to more than $187 billion in 2019, an increase of more than 50 percent over the five-year forecast period.” Anyone in enterprise IT already knows that big data is a big deal.… Continue reading How to get real value from big data in the cloud
Julia is a free open source, high-level, high-performance, dynamic programming language for numerical computing. It has the development convenience of a dynamic language with the performance of a compiled statically typed language, thanks in part to a JIT-compiler based on LLVM that generates native machine code, and in part to a design that implements type stability… Continue reading What is Julia? A fresh approach to numerical computing
Deloitte Global predicts that medium and large enterprises will increase their use of machine learning in 2018, doubling the number of implementations and pilot projects underway in 2017. And, according to Deloitte, by 2020, that number will likely double again. Machine learning is clearly on the rise among companies of all sizes and in all… Continue reading IDG Contributor Network: In an age of fake news, is there really such a thing as fake data?
Srinath Perera is vice president of research at WSO2. APIs have become the mechanism of choice for connecting internal and external services, applications, data, identities, and other digital assets. As a result, APIs now have the potential to serve as a similarly valuable mechanism for analytics. Equally important, APIs can provide a significantly easier-to-use alternative… Continue reading It’s time we tapped APIs for business analytics