BigData (and Hadoop) are buzzword and growth areas of computing; this article
will distill the concepts into easy-to-understand terms.
As the name implies, BigData is literally "big data" or "lots of data" that
needs to be processed. Lets take a simple example: the city council of San
Francisco is required to take a census of its population - literally how many
people live at each address. There are city employees who are employed to
count the residents. The city of Los Angeles has a similar requirement.
Consider are two methods to accomplish this task:
1. Request all the San Francisco residents to line up at City Hall and be
prcessed by the city employees. Of course, this is very cumbersome and time
consuming because the people are brought to the city hall and processed one
by one - in scientific terms the data are transfered to the processing node.
The people have ... (more)
In this posting, I summarize my prior three posts on the three cloud
computing offerings: Infrastructure as a Service (IaaS), Platform as a
Service (PaaS) and Software as a Service (SaaS).
I concentrate how the three offerings differ with respect to flexibility,
maintenance and portability. One of the greatest challenges companies face
when moving to the cloud is security. Thus I will devote an entire blog post
in the future, to security concerns.
How much flexibility do you have with each offering? What can you change or
modify within each cloud offering to suit you... (more)
In his 90 minute keynote address at the AWS re:Invent conference, Andy Jassy
quite unabashedly gave these reasons for using AWS versus a private cloud,
(at the 32 minute mark) :
So public cloud adoption should be a no-brainer, right? Oh wait, but Andy
omitted security in the public cloud - how can I trust that my customers'
sensitive data is secure in the public cloud?
Been there, heard that before.
I agree, the message wears thin that enterprise businesses are apprehensive
to store sensitive customer data in the public cloud, and thus hesitant to
adopt the cloud at all. (By th... (more)
I previously wrote a review of the Microsoft Azure public cloud and
included a comparison between Azure and AWS (Amazon Web Services) and will
now compare OpenStack and VMware vCloud. For a review of IaaS (Infrastructure
as a Service) see my blog post and video.
This table provides a simple and high level comparison of OpenStack and
Feature OpenStack VMware vCloud Virtualization layer Type 2 virtualization -
Libvirt layered on top of Linux. Supports various hypervisors: XEN, KVM,
HyperV... Type 1 virtualization - bare metal; vSphere hypervisor only.
Management Open API... (more)
In prior blog posts, I described Infrastructure as a Service (IaaS) and
Platform as a Service (PaaS).
If I use IaaS I get servers onto which I can load software and applications
which I then maintain, though I don't need to maintain the hardware. I can
customize the applications and software running on the servers, at will. If I
use PaaS, I get a platform of ready to use web servers, application servers,
databases etc. I write my own software application and host it at the PaaS
provider. I maintain the software I write, but not the application servers,
databases or ha... (more)