B23 COVER STORY – ANALYTICS MAGAZINE: Predictive Analytics in the Cloud: It’s all about the Data

During the 1992 Presidential election, the Clinton team coined the phrase “the economy, stupid,” as an easy way to remember one of the most important platforms of the campaign. For the cloud – and especially predictive analytics in the cloud – it’s not the economy, but the data, that makes all the difference. These days, as the cloud is making storage of enterprise data easier and more affordable for companies of any size, every business is now a data business, whether they know it or not. And that will be truer still as the Internet of Things begins to collect and contribute data to enterprise systems from nearly every household and business device or appliance. You have to assume that the volume of enterprise data will increase (possibly exponentially) every year. Most organizations already are overwhelmed with data and can’t process it fast enough. Enter the cloud. There’s a natural synergy between the cloud and analytics. The cloud allows you to scale out horizontally easily and quickly, which in turn enables you to look across silos of data to identify developing trends. Most companies that are struggling with a move to the cloud are concerned in particular with how to migrate data to this new computing environment – and that’s where they’re going wrong. New technology makes it much more practical to scratch-build their data repositories in the cloud rather than migrate data to the cloud. After that, complex data analysis can be underway in minutes rather than months (if at all). Let’s look back at the cloud, and ways to make the best use of the technology when putting predictive analytics to work on an enterprise scale. “Power Company” of the Internet Age In the past, on-premise data collection and management was limited because IT resources were finite and expensive. That has changed with the cloud. Think of it as analogous to the power company at the turn of the 20thcentury. In the late 1880s when electricity was just coming on the scene in industry, every business built its own generating capacity at great expense to the...

30 Must-Have Tools to Support DevOps

9. AUTOMATION The single most important tool for DevOps success is an automation tool that is capable of supporting a variety of technologies. Our customer base needs a complete big data stack automation tool that speeds the creation of big data clusters for hard-to-system-engineer, distributed processing applications. With this type of tool developers can gain access to a Hadoop cluster almost immediately – as opposed to the weeks or months it might take through conventional channels. This allows developers and data scientists to experiment and innovate rapidly….   http://www.devopsdigest.com/30-devops-tools-2