Published at LXer:
Some data-intensive businesses are finding that at a certain point, the cloud ceases to be cost-effective and it makes more sense to build their own data centers.
There are a fair number of IT pros out there making the argument that their data is safer inside the cozy confines of their own data centers than it is in the cloud, but I argue that you are subject to the same pitfalls whether you're in the cloud or behind your own firewall.
The cloud and big data are a natural match as the cloud provides elastic resources for varying amounts of data processing, so it should come as no surprise that Amazon, Salesforce.com and IBM all made announcements about cloud Big Data products recently.
Big Data has always made sense in the cloud. After all, if you need more resources, they'll give you as much as you need, but up until fairly recently, if you wanted to crunch big data using Hadoop, you were limited to your datacenter.
If you're still questioning the viability of the cloud, consider that a new study by Cisco predicts that by 2017 more than 2/3 of all data center activity will be in the cloud. That means it's time to put aside questions of the cloud and prepare your company for the future or risk being left in the dust.
Learn the 5 critical success factors to accelerate IT service delivery in a cloud enabled datacenterToday's organizations face an unparalleled rate of change. Cloud enabled data centers are increasingly seen as a way to accelerate IT service delivery and increase utilization of resources while reducing operating expenses.
It's OSCON time again, and this year the tech sector is abuzz with talk of cloud infrastructure. One of the more interesting startups is Docker, an ultra-lightweight containerization app that's brimming with potential. I caught up with the VP of Services for Docker, James Turnbull, who'll be running a Docker crash course at the con.