Feeds:
Posts
Comments

We have entered a new era of information technology, an era where the clouds are moist, the data is obese and incontinent, and the threats are advanced, persistent, and the biggest ever. Of course with all the paradigm-shifting, next generation, FUD vs. ROI marketing, its important to remember that sometimes we need to balance innovation against misunderstood expectations, vendor double-speak, and relentless enterprise sales guys.

Because contrary to the barrage of marketing, these technologies won’t make you rich, teach you how to invest in real-estate, help you lose weight or grow a full head of hair, it won’t make you attractive to the opposite sex, nor will it solve all your problems, in some cases they can improve the efficiency and effectiveness of your operating environment but it requires proper planning, expectation setting and careful deployment…and on that note, I give you the top 10 most overhyped technology terms over the last decade.

Continue Reading »

So recently I posted some thoughts on big data and the increasing usage of Hadoop, the general theme was data management != data analysis…this caused confusion with some folks, as evidenced by the twitter exchange (tweets haven’t been altered but some extraneous ‘noise’ removed to maximize your reading pleasure)

@Beaker @amrittsering I’m confused by your last blog. Is your point that people are spending $$$ on data aggregation hoping it leads to analytics?

@Beaker @amrittsering I read/re-read your posts & it’s almost like u r suggesting majority of co’s deploying Hadoop (e.g) are clueless WRT why?

Big data is a scorching hot topic, currently capturing a lions share of the markets available stock of hyperbole and for good reason, data is growing at a meteoric rate.

As we continue to innovate, as business accelerates technology adoption, as the line bleeds between corporate and personal computing and as we interact more in digital mediums we are creating mountains of data. Much of this data is garbage, but some of it is gold (big-data-are-you-creating-a-garbage-dump-or-mountains-of-gold).

Unfortunately with all overly hyped technologies there is a lot of misinformation, failed expectations and the inevitable trough of disillusionment, but that doesn’t mean you have to spend months or years curled up in a fetal position, disillusioned and wondering what went so wrong. With a thoughtful approach you can venture through the murky swamp of your big data and find the insights that provide your company a significant competitive and market advantage.

Continue Reading »

You’re not really sure how it happened, but some time between last year and the summer of 2011 you were suddenly facing a big data problem, or you were being told you were facing a big data problem, or more accurately you were being told that you needed a big data solution.

Funny thing was that you hadn’t really done anything drastic over the last couple of years that would seem to indicate a tsunami of data was about to breach your storage floodgates, but then again it wasn’t like you watched yourself going bald either.

Continue Reading »

It is the foundation for the free market system and capitalism and it is every entrepreneurs dream; build a great technology, execute and achieve excellence in GTM, deliver fantastic value to customers and take great pride in watching your passion grow – fast.

Then it happens; the exit, the liquidation event, the ‘golden ticket’ and in a blip of your time on this tiny little rock your life changes.

Last year, after spending almost four years as the CTO of BigFix, we were acquired by IT industry behemoth IBM (IBM to acquire BigFix) for what was the largest acquisition of a private software company in 2010 (second was CA’s acquisition of Nimsoft at around $380m) and my life changed…

Continue Reading »

 

So it appears the Internet went down, or so many claimed when they were presented with 404 errors when attempting to watch “Georgia Hillbilly Massacre 17: The return of the Banjo Man” on Netflix  - Since Netflix is selective on what you can stream they certainly weren’t queuing up the latest and greatest new releases, but that is a totally different rant – or attempting to declare themselves the Mayor of “who gives a rats ass where you are right now” on Foursquare.

Last time this happened some started to claim that it rocked the very foundation of confidence in cloud-computing (here), yet they failed to juxtapose Amazon’s operational failures against the universe of enterprise operational failures, security compromises and general administrative stupidity that plagues nearly 99.98% of every organization on Earth (minus the DPRK’s website, really not more you can do to fudge that one up)

Continue Reading »

“Information is not knowledge” – Albert Einstein

I recently read a couple of posts about BigData from my friend Chris Hoff - “Infosec Fail: The Problem With BigData is Little Data” and “More on Security and BigData…Where Data Analytics and Security Collide”

In these posts Hoff posits that the mass centralization of information will benefit the industry and that monitoring tools will experience a boon, especially those that leverage a cloud-computing architecture…

This will bring about a resurgence of DLP and monitoring tools using a variety of deployment methodologies via virtualization and cloud that was at first seen as a hinderance but will now be an incredible boon.

As Big Data and the databases/datastores it lives in interact with then proliferation of PaaS and SaaS offers, we have an opportunity to explore better ways of dealing with these problems — this is the benefit of mass centralization of information.

Hoff then goes on to describe how new data warehousing and analytics technologies, such as Hadoop, would positively impact the industry…

Even when we do start to be able to integrate and correlate event, configuration, vulnerability or logging data, it’s very IT-centric.  It’s very INFRASTRUCTURE-centric.  It doesn’t really include much value about the actual information in use/transit or the implication of how it’s being consumed or related to.

This is where using Big Data and collective pools of sourced “puddles” as part of a larger data “lake” and then mining it using toolsets such as Hadoop come into play…

Continue Reading »

Follow

Get every new post delivered to your Inbox.

Join 41 other followers