In our last blog, one of the benefits we listed with Microsoft Power BI is that it’s available on three national clouds. So, what exactly does this mean for your organization?
Tags: Big Data, Data Analytics, Microsoft Azure
Data centers deliver critical services for businesses. Trying to maximize design efficiency in a data center can be a challenge, however, and focusing only on power and cooling strategies is short-sighted. There are other efficiencies that enhance a data center’s ability to cost effectively adapt to business strategy changes and increased computing demand.
A data center solution should be designed with five key goals:
Today, demand forecasts are the foundation of many business decisions. With data production predicted to increase 44 times between 2009 and 2020, there’s a huge opportunity to expand our perspectives regarding factors influencing and driving demand, as well as identifying patterns by which data driven business decisions can be made.
Here are eight ways data analytics can improve your business:
Define your Ideal Customer:
Tags: Data Analytics, Microsoft Azure
Contention between Open-Source groups freely releasing code and commercial vendors capitalizing on proprietary products started the minute software became a profit-generating industry. Unlike proprietary software, which oftentimes is difficult to customize and integrate with other software applications, open source software is made available publicly for free so that others can view, copy, learn, and share the code.
Tags: Open-Source, Microsoft Azure
Within the next three years, most users will be doing a majority of their computing in the cloud, an article from CNN predicts. With cloud computing becoming the next big thing in IT, here are some reasons why you should consider Microsoft Azure.
Tags: Microsoft Azure
Shortly after an organization makes the decision to migrate to the cloud, another big decision must be made: Which cloud model should the business adopt? The public cloud model and private model each have benefits and drawbacks, and several factors must first be weighed before the right decision can be determined.