Last week I was in Munich to presen

Last week I was in Munich to present at the annual TDWI (The Data Warehouse Institute) conference on “Business Intelligence and Data Management in a คลาวด์ Computing Environment”. It was a very well attended conference with some great speakers and sessions. My session focused on the following:

* What is คลาวด์ Computing and why use it as a deployment option?

* Why คลาวด์ BI? – What are the requirements for a public คลาวด์ or externally hosted BI system?

* Understanding what is on offer – The คลาวด์ BI Marketplace

* Getting data into a คลาวด์ based BI system

* Managing access to คลาวด์ based BI systems and analytic applications

* Integrating คลาวด์ based BI systems with on-premise systems

* Pros and cons of deploying on the คลาวด์?

* Getting started with คลาวด์ based BI

Bear in mind that both public คลาวด์ and private คลาวด์ based BI were under discussion even though the hype seems all around public คลาวด์ or externally hosted BI systems. Looking at these points it is the third bullet down that for me is the clear

inhibitor to คลาวด์ based BI adoption.In other words the lack of understanding as to what exactly is on offer. And there is a lot on offer. On the public คลาวด์ we have everything from plain Infrastructure as a Service (IaaS) all the way through to Software as a Service (SaaS) based packaged analytic applications. On the private คลาวด์ several BI platforms are already running on virtualisation software such as VMware and/or Microsoft Hyper-V. However there seems very little in the way of best practice advice on do’s and don’ts when it comes to deploying BI systems on a private คลาวด์ based virtualised environment.

In total I came up with 6 options, the last of which is simply where many of us are today i.e. BI systems not deployed on a คลาวด์ (whether it be public or private). The options are as follows: