7 Keys To Building A Successful Big Data Infrastructure

Since the release of Office 365 five years ago, many of the "easy" Office 365 migrations have been

The infrastructure you build for big data, whether you're looking at software or hardware, will have a huge impact on the analysis and action your big data systems will support. Here are 7 factors that can make a big difference when building your big data architecture.

Big data is a big part of many enterprise IT operations today. According to an IDC forecast, it will be $187 billion big by 2019. It's a critical part of the analysis that forms the basis of both machine and human business intelligence and decision-making. Since it's obvious that you can't have any sort of data -- big, little, or exactly right -- without some sort of infrastructure, it's worth taking a look at some of the factors that go into building a successful big data architecture.

I decided to take a look at seven factors that can make a big difference in the effectiveness of your big data infrastructure. Some might seem obvious, while others are a bit more subtle. In practice, all will work together to have a huge impact on the analysis and action your big data systems will support.