The purpose of this blog is to provide a forum for architecture, technology and data science topics from a practitioner's point of view. These are my own opinions. I would like to expand my horizons by sharing with you what has worked for me in the past with the hope that you will do the same by publishing your lessons learnt to enable commercial services, digital products, enterprise systems, business applications and platforms.
Has Anyone realized ROI with Cloud Computing ROI?
Question to the viewers of this blog is how many have used concepts of cloud computing (and I do not mean private clouds, here)? Are you looking at Cloud computing for reduction in infrastructure costs by moving to a pay as you use concept or to augment your peak capacity or else are you using cloud sofware as a service?
What is your experience and are you realizing the ROI as in a lowering of your TCO, or increase in operations efficiency and availability?
In this post I try to outline a few features of what I would consider a strategic partnership with a service provider or a technology vendor. These are thoughts that I have distilled from years of experience (good and bad) with my vendor partners. Hence this aspect of doing business cannot be overlook and not the least of these is the "cost" of doing business. Here are a few key attributes, not necessarily in any particular order of preference. 1) the strategic partner relationship has to go beyond a transactional one to that of a more long term one 2) the strategic partner has to have skin in the game - they have to be measured with your success criteria - they can succeed only if you do 3) the strategic partner has to be willing to "share" their technology roadmap with you 4) the strategic partner has to allow you to re-shape their technology roadmap to meet your needs 5) the strategic partner relationship has to include making their test labs, test gear, professiona…
A lot of talk has been heard lately about the concept of
data lake. Variously known as, data refinery, data factory etc. I find it interesting that we
now hear logical architectural terms that speak to the concepts and to the purpose of the big data technologies such as Hadoop / HDFS and Apache distributed database technologies such as HBase/ Cassandra.
be indicative of a shift. What I am not sure of is does this mean that there
is a level of maturity that has been
achieved by this suite of open source technologies? Or could
this point to the fact that these
technologies have practical applications that solve enterprise
scale problems? Or does it show that enterprises have realized that they are no longer able to just deal with "structured data" and that a vast majority of information lies in the space of "unstructured content" leaving them no choice but to venture into the realm of big data technologies? Not really sure!
The fact remains, when …
I was recently reviewing old publications EDW and some of the related concepts such as those of Corporate Information Facotry, Operational BI etc. and came across an old Inmon article from ’98. I was curious to find out as to whether or not an ODS is relevant in today's landscape where we have EII, EDW Appliances, cloud based Warehousing solutions.