Ken Hess

As early as 2012, writers, industry critics, and big data companies such as Cloudera predicted Hadoop’s demise as the de facto standard for big data analytics. Hadoop’s future as a viable real-time big data analytics platform seemed questioned at the height of its hype and adoption. And indeed, many businesses that manage large data sets […]

See also: Big Data Technologies  And: Top 25 Big Data Companies A direct comparison of Hadoop and Spark is difficult because they do many of the same things, but are also non-overlapping in some areas. For example, Spark has no file management and therefor must rely on Hadoop’s Distributed File System (HDFS) or some other […]

You expect to see Big Data analytics used in the technology sector for all types of applications, including social media, sales, user logins, and security violations. You also expect to see Big Data applied to medicine, travel, retail business, demographics, and the television and film industries. But there are a few places that you might […]

Also see: Hadoop and Big Data Hadoop and Big Data analytics are popular topics, perhaps only overshadowed by security talk. Apache’s Hadoop and its other 15 related Big Data projects are enterprise-class and enterprise-ready. Yes, they’re open source and yes, they’re free, but that doesn’t mean that they’re not worthy of your attention. For businesses […]

Enterprise mobility management (EMM), rather than mobile device management, defines the new approach to managing employee-owned devices. EMM is a less heavy-handed method of handling device security, onboarding, and monitoring. CXOs realize that mobile devices are a weak link in the enterprise business chain and that security and asset protection are mandatory. The only way […]