Over the last few years there has been a relentless focus on big data as a technology problem. Resources have been invested in solving the technological problems posed by data collection, storage and analysis. That's all well and good, but there's still a lot of work left to do and most of the important questions still remain unanswered.
Cloud Industry Insights
With the rapidly declining cost of both Cloud storage and Cloud servers, we've seen a lot of ongoing "pricing wars" in the last few years. From Cloud market watchers' perspective, it's an interesting phenomenon. However, in reality, price is not the issue that business Cloud users are most concerned about.
For many years, IT operations and development teams were strictly separated. Given the limitations of the available infrastructure, it made perfect sense. However, in the last five years, IT infrastructure provisioning and management processes have gone through significant changes, especially with the advent of Infrastructure as a Service. As a result, a different way of approach is now needed.
The geographic proximity of data and compute infrastructure to service users and data sources is crucial for Cloud applications that rely on the lowest possible latencies. Given the nature and physics of the Internet, there's really nothing to beat the physical infrustructure proximity when it comes to reducing network latencies.
You can think of big data and dark data as the light and dark side of moving to the widespread data collection and analytics. Big data, data that companies collect, analyze and act on, has proven immensely useful as a guide to modern business decision-making in all areas. Dark data is the data that companies collect and store, but isn't actively analyzed or used. In fact, many companies have very little insight into the dark data they store.
Before enterprise application projects are put into development, ISVs have a number of choices to make. One of the most important thing is to decide what kind of infrastructure is going to support their app. Infrastructure impacts all areas of development, deployment and production. Whether you can provide users with a highly reliable application with outstanding performance or an app with uncertain up times, unpredictable performance and an inability to scale in line with user growth is largely dependent on the infrustructure you build the app on.
Ransomware typically gets in to Windows system when less-technical users click through a link in a phishing email and find that they can no longer access their files. However, there's increasing evidence that online criminals are now targeting Cloud users, especially users of Cloud storage. Other Cloud services, including virtual desktop or application hosting environments may also be at risk, according Brian Krebs.
There's an old saying in the industry: If your data doesn't exist in more than one place, it doesn't exist at all. Data is fragile because the systems that store data are prone to failure. It doesn't mean these systems are badly designed or that they are intrinsically faulty. But with enough data and over a long enough period of time, chances are, even on the most reliable and well-designed IT infrastructure, something will go wrong eventually. When a critical data loss incident occurs, you don't want that copy of the data to be the only copy.
The integration of mobile technology, the Internet and the Cloud has fundamentally changed our life, especially in the business world. In order to compete and challenge market leaders whose portfolios span the globe, modern organizations, especially innovative startups, must be faster, smarter and more productive than their peers. In other words, for many startups, whether or not they can improve their agility largely determines the success of the company. And Cloud Computing is the answer to that.