Concurrent adds support for Hadoop 2.0 with Cascading application development framework. Cascading makes it easier to isolate the data processing and data integration elements of an application.
Developers generally think a lot differently than the average person who winds up using their application. By nature, developers are more linear thinkers trying to develop software for a general population that is usually anything but. For that reason, embedding tutorials and creating documentation that explains how a piece of software is intended to work has become a critical component of the end user experience.
If there is one thing governments do exceedingly well, it’s collect data. What they don’t do as well is make that data available in a way that is particularly useful. Looking to change that dynamic, Splunk has begun working with the White House on a Regulations.gov initiative to make it easier to mine the trove of government data.
In the age of the cloud, integration is everything. What was once a labor-intensive service is rapidly becoming a set of capabilities in the cloud that IT organizations can dynamically invoke as needed. We’re still some distance from making that integration process completely turnkey. But we’re getting a little closer with each passing day.
The combination of natural language processing and advanced text analytics is giving rise to a new class of cognitive applications that have the potential to radically transform the way entire industries operate. The most famous instance of a cognitive application is, of course, IBM Watson, the supercomputer that IBM built on top of Power processors to best the champions from the Jeopardy quiz show.
As the amount of processing power that can be affordably invoked via the cloud continues to increase, applications that were once thought too impractical to build are suddenly quite feasible. A good example of that is AppStream, a new service that Amazon is beta testing that allows graphically and resource-intensive applications to be extended out to any number of devices that previously would not have had the processing capabilities to run them.
Within IT operations circles Splunk is a fairly well known tool for making sense of the massive amounts of machine data generated by IT systems. So it should come as no surprise that Splunk would view the rise of the Internet of Things (IoT) as an opportunity to extend the reach of its analytic software into the broader realm of telematics.
Being able to connect a lot of things to the Internet is one thing; being able to build applications that actually do something useful with them is quite another. While the Internet of Things (IoT) is all the rage these days, few organizations have any actual capability to take advantage of it. With that in mind, Glassbeam has launched SCALER, a cloud-based platform for creating analytics applications based on machine data.
Rather than getting caught up in a religious debate about the best method for integrating applications, it’s best to accept the fact that depending on the age and the use case of the application, every integration scenario is likely to be different. Recognizing that reality, Informatica this week unfurled its Informatica Cloud Winter 2014 cloud service that, in addition to providing more business process controls, now includes support for RESTful APIs.
At the Amazon Web Services (AWS) re:Invent 2013 conference yesterday, Axway announced that the Axway API Gateway is now available on the AWS cloud platform.