@CloudExpo Authors: Liz McMillan, Mehdi Daoudi, Elizabeth White, Pat Romanski, Yeshim Deniz

RSS Feed Item

RE: XML not ideal for Big Data

Yes Michael - it is all about the "sweet spot".

XML is **THE** open standard for data and document exchange.  XML (and the
W3C) have pushed the idea of an open data standard and associated tools
beyond what I would have ever imagined.  I see no clear competitor in this
class.  And I think, if we move XML into the modern age it should be simpler
and not hung up on a serialization format - XML is the datamodel (InfoSet,
XQuery DM) - an idea which has been evolving for some time.  So in that way,
JSON could simply be an XML serialization (sort of what Kurt was hinting

There are all kinds of uses cases where the ROI of using XML makes sense -
ranging from the ability to exchange data, move across vendors and the broad
range of close to free programming tools. For individual systems however,
that do not have these needs, other "internal" more optimized formats will
be used.  

In documents, XML is dominant.  In data, standards like XBRL(accounting) and
HL7(Health) and other data centric markup languages have promise - I havn't
been swimming in the data centric lake lately - what say others?  For
example, what are people doing in exchange of healthcare information.  When
I last checked the one big humming health record data center was popular in
some camps - but even then that system cannot be all things to all people -
so there has to be an exchange format.  The question is, should that
exchange format be "normalized" in the relational sense, or not?

If you have a system of heterogeneous systems (system of systems), like in
heathcare, open data standards often sense.  If you have one system,
internal use of XML may be limited.

Beware, making the "system of systems" idea work is a road full of detours
and blockades as can be seen by the failure of enterprise data model
projects, let alone, cross enterprise data models.

So, XML is not a religion but a clearly defined "mark in the sand" whose
application can be evaluated on a case by case basis.


-----Original Message-----
From: Michael Sokolov [mailto:sokolov@ifactory.com] 
Sent: Thursday, September 03, 2009 6:49 PM
To: 'Simon St.Laurent'; xml-dev@lists.xml.org
Subject: RE:  XML not ideal for Big Data

So many points were made arguing for XML being OK for "big data," many of
them sensible to me.  Just to be clear: I use XML databases day in and day
out, I work with large XML files and it's all just dandy.  I don't think
size is an issue, mostly.

However I think we need to recognize that there is data for which XML was
not designed and is ill-suited.  Binary, numeric data, such as video, images
and audio, to say nothing of scientific data (years of detector readings in
a neutrino decay experiment) is just not the sweet spot for XML.  I searched
for "MP3 to XML converter", but couldn't find anything.  I have to admit I
was surprised: the net is so big that I thought it had finally reached the
stage where enough monkeys typing will have produced absolutely everything.
Maybe my search skills just weren't up to the task.

Now it's hard to tell if his problem fell in the domain for which XML is not
well-suited.  I don't know what the details of the original writer's project
were, but I would tend to want to take him at his word that XML was not the
right choice for his data.  It's certainly possible: there is such a domain.
And genomics data sounds to me pretty unlike documents: it probably wouldn't
pass the smell test that was discussed earlier. XML is not for everything.

As an aside, XML is also not always the right choice for every*one*, either,
regardless of the problem domain.  Even if it might have been possible for
someone else to achieve success with a genomics dataset using XML rather
than CSV and perl or whatever he used, I think his point is still valid.  He
doesn't want to spend time learning XML technologies: he just want to get
the project done.  So if learning XML (document format, query language,
database technology, etc) was too hard and he managed to find success some
other way, I don't think that's any reason to disparage him.  He found a
tool that suited his purposes and the context in which he was working.

Last point: the only reason people write articles like his is that XML was
touted as the everything/everywhere solution for so long. For me it's still
about (human-readable) documents and data interchange, primarily.  I'm
curious whether there is agreement on that, or do folks see other broad
areas where XML is beneficial?


> -----Original Message-----
> From: Simon St.Laurent [mailto:simonstl@simonstl.com] 
> Sent: Thursday, September 03, 2009 11:54 AM
> To: xml-dev@lists.xml.org
> Subject:  XML not ideal for Big Data
> Perhaps there were better ways to have made XML work with his 
> problems... but I think on the whole he's right.
> http://dataspora.com/blog/xml-and-big-data/
> --
> Simon St.Laurent
> http://simonstl.com/
> ____________________________


XML-DEV is a publicly archived, unmoderated list hosted by OASIS
to support XML implementation and development. To minimize
spam in the archives, you must subscribe before posting.

[Un]Subscribe/change address: http://www.oasis-open.org/mlmanage/
Or unsubscribe: xml-dev-unsubscribe@lists.xml.org
subscribe: xml-dev-subscribe@lists.xml.org
List archive: http://lists.xml.org/archives/xml-dev/
List Guidelines: http://www.oasis-open.org/maillists/guidelines.php

Read the original blog entry...

CloudEXPO Stories
In today's always-on world, customer expectations have changed. Competitive differentiation is delivered through rapid software innovations, the ability to respond to issues quickly and by releasing high-quality code with minimal interruptions. DevOps isn't some far off goal; it's methodologies and practices are a response to this demand. The demand to go faster. The demand for more uptime. The demand to innovate. In this keynote, we will cover the Nutanix Developer Stack. Built from the foundation of software-defined infrastructure, Nutanix has rapidly expanded into full application lifecycle management across any infrastructure or cloud .Join us as we delve into how the Nutanix Developer Stack makes it easy to build hybrid cloud applications by weaving DBaaS, micro segmentation, event driven lifecycle operations, and both financial and cloud governance together into a single unified st...
"Cloud computing is certainly changing how people consume storage, how they use it, and what they use it for. It's also making people rethink how they architect their environment," stated Brad Winett, Senior Technologist for DDN Storage, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
Sold by Nutanix, Nutanix Mine with Veeam can be deployed in minutes and simplifies the full lifecycle of data backup operations, including on-going management, scaling and troubleshooting. The offering combines highly-efficient storage working in concert with Veeam Backup and Replication, helping customers achieve comprehensive data protection for all their workloads — virtual, physical and private cloud —to meet increasing business demands for uptime and productivity.
While the focus and objectives of IoT initiatives are many and diverse, they all share a few common attributes, and one of those is the network. Commonly, that network includes the Internet, over which there isn't any real control for performance and availability. Or is there? The current state of the art for Big Data analytics, as applied to network telemetry, offers new opportunities for improving and assuring operational integrity. In his session at @ThingsExpo, Jim Frey, Vice President of Strategic Alliances at Kentik, discussed tactics and tools to bridge the gap between IoT project teams and the network planning and operations functions that play a significant role in project success.
DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm. In their Day 3 Keynote at 20th Cloud Expo, Chris Brown, a Solutions Marketing Manager at Nutanix, and Mark Lavi, a Nutanix DevOps Solution Architect, explored the ways that Nutanix technologies empower teams to react faster than ever before and connect teams in ways that were either too complex or simply impossible with traditional infrastructures.