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Little Data, Big Data and Very Big Data (VBD) or Big BS?
I routinely hear from different people or groups trying to define what is or is not big data

This is an industry trends and perspective piece about big data and little data, industry adoption and customer deployment.

If you are in any way associated with information technology (IT), business, scientific, media and entertainment computing or related areas, you may have heard big data mentioned. Big data has been a popular buzzword bingo topic and term for a couple of years now. Big data is being used to describe new and emerging along with existing types of applications and information processing tools and techniques.

I routinely hear from different people or groups trying to define what is or is not big data and all too often those are based on a particular product, technology, service or application focus. Thus it should be no surprise that those trying to police what is or is not big data will often do so based on what their interest, sphere of influence, knowledge or experience and jobs depend on.

Traveling and big data images

Not long ago while out traveling I ran into a person who told me that big data is new data that did not exist just a few years ago. Turns out this person was involved in geology so I was surprised that somebody in that field was not aware of or working with geophysical, mapping, seismic and other legacy or traditional big data. Turns out this person was basing his statements on what he knew, heard, was told about or on sphere of influence around a particular technology, tool or approach.

Fwiw, if you have not figured out already, like cloud, virtualization and other technology enabling tools and techniques, I tend to take a pragmatic approach vs. becoming latched on to a particular bandwagon (for or against) per say.

Not surprisingly there is confusion and debate about what is or is not big data including if it only applies to new vs. existing and old data. As with any new technology, technique or buzzword bingo topic theme, various parties will try to place what is or is not under the definition to align with their needs, goals and preferences. This is the case with big data where you can routinely find proponents of Hadoop and Map reduce position big data as aligning with the capabilities and usage scenarios of those related technologies for business and other forms of analytics.

SAS software for big data

Not surprisingly the granddaddy of all business analytics, data science and statistic analysis number crunching is the Statistical Analysis Software (SAS) from the SAS Institute. If these types of technology solutions and their peers define what is big data then SAS (not to be confused with Serial Attached SCSI which can be found on the back-end of big data storage solutions) can be considered first generation big data analytics or Big Data 1.0 (BD1 ;) ). That means Hadoop Map Reduce is Big Data 2.0 (BD2 ;) ;) ) if you like, or dislike for that matter.

Funny thing about some fans and proponents or surrogates of BD2 is that they may have heard of BD1 like SAS with a limited understanding of what it is or how it is or can be used. When I worked in IT as a performance and capacity planning analyst focused on servers, storage, network hardware, software and applications I used SAS to crunch various data streams of event, activity and other data from diverse sources. This involved correlating data, running various analytic algorithms on the data to determine response times, availability, usage and other things in support of modeling, forecasting, tuning and trouble shooting. Hmm, sound like first generation big data analytics or Data Center Infrastructure Management (DCIM) and IT Service Management (ITSM) to anybody?

Now to be fair, comparing SAS, SPSS or any number of other BD1 generation tools to Hadoop and Map Reduce or BD2 second generation tools is like comparing apples to oranges, or apples to pears. Lets move on as there is much more to what is big data than simply focus around SAS or Hadoop.

StorageIO industry trends cloud, virtualization and big data

Another type of big data are the information generated, processed, stored and used by applications that result in large files, data sets or objects. Large file, objects or data sets include low resolution and high-definition photos, videos, audio, security and surveillance, geophysical mapping and seismic exploration among others. Then there are data warehouses where transactional data from databases gets moved to for analysis in systems such as those from Oracle, Teradata, Vertica or FX among others. Some of those other tools even play (or work) in both traditional e.g. BD1 and new or emerging BD2 worlds.

This is where some interesting discussions, debates or disagreements can occur between those who latch onto or want to keep big data associated with being something new and usually focused around their preferred tool or technology. What results from these types of debates or disagreements is a missed opportunity for organizations to realize that they might already be doing or using a form of big data and thus have a familiarity and comfort zone with it.

By having a familiarity or comfort zone vs. seeing big data as something new, different, hype or full of FUD (or BS), an organization can be comfortable with the term big data. Often after taking a step back and looking at big data beyond the hype or fud, the reaction is along the lines of, oh yeah, now we get it, sure, we are already doing something like that so lets take a look at some of the new tools and techniques to see how we can extend what we are doing.

Likewise many organizations are doing big bandwidth already and may not realize it thinking that is only what media and entertainment, government, technical or scientific computing, high performance computing or high productivity computing (HPC) does. I'm assuming that some of the big data and big bandwidth pundits will disagree, however if in your environment you are doing many large backups, archives, content distribution, or copying large amounts of data for different purposes that consume big bandwidth and need big bandwidth solutions.

Yes I know, that's apples to oranges and perhaps stretching the limits of what is or can be called big bandwidth based on somebody's definition, taxonomy or preference. Hopefully you get the point that there is diversity across various environments as well as types of data and applications, technologies, tools and techniques.

StorageIO industry trends cloud, virtualization and big data

What about little data then?

I often say that if big data is getting all the marketing dollars to generate industry adoption, then little data is generating all the revenue (and profit or margin) dollars by customer deployment. While tools and technologies related to Hadoop (or Haydoop if you are from HDS) are getting industry adoption attention (e.g. marketing dollars being spent) revenues from customer deployment are growing.

Where big data revenues are strongest for most vendors today are centered around solutions for hosting, storing, managing and protecting big files, big objects. These include scale out NAS solutions for large unstructured data like those from Amplidata, Cray, Dell, Data Direct Networks (DDN), EMC (e.g. Isilon), HP X9000 (IBRIX), IBM SONAS, NetApp, Oracle and Xyratex among others. Then there flexible converged compute storage platforms optimized for analytics and running different software tools such as those from EMC (Greenplum), IBM (Netezza), NetApp (via partnerships) or Oracle among others that can be used for different purposes in addition to supporting Hadoop and Map reduce.

If little data is databases and things not generally lumped into the big data bucket, and if you think or perceive big data only to be Hadoop map reduce based data, then does that mean all the large unstructured non little data is then very big data or VBD?

StorageIO industry trends cloud, virtualization and big data

Of course the virtualization folks might want to if they have not already corner the V for Virtual Big Data. In that case, then instead of Very Big Data, how about very very Big Data (vvBD). How about Ultra-Large Big Data (ULBD), or High-Revenue Big Data (HRBD), granted the HR might cause some to think its unique for Health Records, or Human Resources, both btw leverage different forms of big data regardless of what you see or think big data is.

Does that then mean we should really be calling videos, audio, PACs, seismic, security surveillance video and related data to be VBD? Would this further confuse the market, or the industry or help elevate it to a grander status in terms of size (data file or object capacity, bandwidth, market size and application usage, market revenue and so forth)?

Do we need various industry consortiums, lobbyists or trade groups to go off and create models, taxonomies, standards and dictionaries based on their constituents needs and would they align with those of the customers, after all, there are big dollars flowing around big data industry adoption (marketing).

StorageIO industry trends cloud, virtualization and big data

What does this all mean?

Is Big Data BS?

First let me be clear, big data is not BS, however there is a lot of BS marketing BS by some along with hype and fud adding to the confusion and chaos, perhaps even missed opportunities. Keep in mind that in chaos and confusion there can be opportunity for some.

IMHO big data is real.

There are different variations, use cases and types of products, technologies and services that fall under the big data umbrella. That does not mean everything can or should fall under the big data umbrella as there is also little data.

What this all means is that there are different types of applications for various industries that have big and little data, virtual and very big data from videos, photos, images, audio, documents and more.

Big data is a big buzzword bingo term these days with vendor marketing big dollars being applied so no surprise the buzz, hype, fud and more.

Ok, nuff said, for now...

Cheers Gs

Greg Schulz - Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO All Rights Reserved

Read the original blog entry...

About Greg Schulz
Greg Schulz is founder of the Server and StorageIO (StorageIO) Group, an IT industry analyst and consultancy firm. Greg has worked with various server operating systems along with storage and networking software tools, hardware and services. Greg has worked as a programmer, systems administrator, disaster recovery consultant, and storage and capacity planner for various IT organizations. He has worked for various vendors before joining an industry analyst firm and later forming StorageIO.

In addition to his analyst and consulting research duties, Schulz has published over a thousand articles, tips, reports and white papers and is a sought after popular speaker at events around the world. Greg is also author of the books Resilient Storage Network (Elsevier) and The Green and Virtual Data Center (CRC). His blog is at www.storageioblog.com and he can also be found on twitter @storageio.

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Cloud Expo 2013 East Opening Keynote by IBM
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@CloudExpo Blogs
The Internet of Things (IoT) refers to the set of devices and systems that interconnect real world sensors and actuators to the internet. This includes many different types of systems. These systems connect to the internet or gateway in a variety of manners including long range WiFi/Ethernet using IP protocols (tcp/udp, including cellular), short range Bluetooth low energy, short range Near Field Communications, or other types of medium range radio networks. Point to point radio links and serial lines are also used. There are many sensors that connect directly to the internet and there are ot...
The concept and subsequent adoption of 'Containerization'' is growing at a rapid speed with the support of almost every other major player in the industry. This concept is much more efficient than the Virtualization which has been a major option for Infrastructure optimization in the past decade. The following factors distinguish a Container from a Virtual Machine. Containers contain Only the Application Specific libraries and binaries. They do not include a guest operating system. Rather all the operating system requirements are derived from the host computer in which the container is p...
Log data provides the most granular view into what is happening across your systems, applications, and end users. Logs can show you where the issues are in real-time, and provide a historical trending view over time. Logs give you the whole picture. Today, everything must be faster. Faster releases; faster and larger backlogs; faster complaints; faster bugs. The speed and performance of the modern software delivery pipeline brings a new set of challenges. How do you keep up? There really is only one option - automation and measurement. You need a method for automatically collecting data abou...
Last week, a public company Informatica got acquired by two private equity funds – the Permira fund and Canada Pension Plan Investment Board (CPPIB) for $5.3B. This is the biggest leveraged buyout so far this year. I am happy for my friend Sohaib Abbasi (we were colleagues at Oracle during the 1990s) who is CEO of Informatica after being a board member for a couple of years. During Sohaib’s time, the company entered into playing a bigger role in data archiving and life cycle management. It also made progress into offering cloud-based services.
Our guest on the podcast this week is Mitchell Hashimoto, Founder of HashiCorp. We discuss golden images which ensure that every copy of a replicated environment is identical. Image creation has historically caused organizational problems, however, new technologies utilize configuration management tools that are DevOps friendly creating an easy and valuable process that enables teams to iterate often and deliver a consistent product to end users.
2015 is the 10th birthday of Ruby on Rails (or simply called Rails), the popular open source web application framework that uses the Ruby programming language. Ever since Rails burst on the scene a decade ago it has continued to scale up as an elegant way to build dynamic websites quickly and efficiently. Rails has garnered a strong following, especially among tech startups. In fact, some of the best known firms out there are using the framework to build their sites. Examples of elegant sites built on Rails are Groupon, Airbnb, and Bloomberg.
Back in 2009 I posted about the “Great Cloud Shakeout” and the coming market consolidation into a few very large clouds. Nearly 5 1/2 years later and it’s about (long past?) time I took another look to see how I did. Back then I predicted that the market would be dominated by “mega CSPs” by the name of Amazon, Google and Microsoft. Note that this was during a period of Cambrian Explosion in the CSP market – it seems like everybody in the hosting business wanted to be a cloud provider.
Financial services organizations were among the earliest enterprise adopters of cloud computing. The ability to leverage massive compute, storage and networking resources via RESTful APIs and automated tools like Chef and Puppet made it possible for their high-horsepower IT users to develop a whole new array of applications. Companies like Wells Fargo, Fidelity and BBVA are visible, vocal and engaged supporters of the OpenStack community, running production clouds for applications ranging from dev/test and backup/DR to customer-facing applications that give them a competitive edge by rolling o...
Our guest on the podcast this week is Jim Haughwout, Chief Technology Architect at Savi Technologies. We discuss Internet of Things sensors and the growing demand for data driven architectures to support the sheer volume of data being collected. It’s clear that many businesses adopting the Internet of Things are unprepared for the volume of data that needs to be processed. Listen in to learn how to put your Internet of Things strategy into place as the technology continues to evolve.
As we recently previewed (read more about our London PoP in Jesse's post), Blue Box is opening a new Data Center in London, but hadn't announced the provider. Today we're excited to partner with TelecityGroup, whom we've selected as our data center partner in London. We chose their Powergate location, which is one of the U.K.'s most advanced, flexible and energy efficient carrier-neutral data centres. Why does that matter to you? Well, when customers choose Blue Box, they're trusting us with their most valuable assets, apps and data. As most folks are realizing, every company is a technolog...
Cloud Expo New York is happening from June 9 - 11. This event brings together the worlds of Cloud Computing, DevOps, IoT, WebRTC, Big Data and SDDC. We hope to see you there-members of the Blue Box team will exhibit in booth 218 next to the DevOps area. Plus, our Chief Product Officer, Hernan Alvarez, will present his talk "The Cloud Has a Down-and-Dirty Lining" as part of the Operations track in the DevOps Summit portion of the event on June 9 at 11 am. Learn more about his session here. To schedule time to meet one-to-one with Blue Box infrastructure experts, or to discuss partne...
Developers working with WebRTC can now build native applications for Android, archive and playback live video communications within their application, and take advantage of a range of enterprise-grade quality-enhancing features, all thanks to four new developments from TokBox which launched today. OpenTok Archiving & Playback, released today into beta, allows developers to simply add video stream recording for their live video chat applications, save the conversation into a single H.264/AAC MP4 file, and download or stream it through the player of their choice. The Android SDK for WebRTC for...
Community is an area of great interest to me. As the evangelist for VictorOps, I’m tapped with many challenges and responsibilities. Not only do I try to provide useful guidance and feedback regarding VictorOps and DevOps best practices, but also bring together customers and partners with shared interest and excitement for what we are building to make on-call suck less. If there is a group in which one could model how to build a great community after, it’s Chef and this year’s ChefConf is a testament to that.
We just finished the first O’Reilly Software Architecture Conference and the overwhelming most popular topic was microservices. Why all the hype about an architectural style? Microservices are the first post-DevOps revolution architecture. The DevOps revolution highlighted how much inadvertent friction an outdated operations mindset can cause, starting the move towards automating away manual tasks.
Ariba today announced innovations to its cloud-based applications and global business network designed to deliver a personal, contextual and increasingly mobile-first user experience for business applications consumers. Among the announcements are a newly designed user interface (UI) and a mobile app based on the SAP Fiori approach, both due to be available this summer, for Ariba's core procurement, spend management, and other line of business apps. Ariba, an SAP company, made the announcements here at the Ariba LIVE conference in Las Vegas. "This gives us a cleaner approach, more tiles, and...
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Past SYS-CON Events
    Cloud Expo West
cloudcomputingexpo
2011west.sys-con.com

 
    Cloud Expo East
cloudcexpo
2011east.sys-con.com

 
    Cloud Expo West
cloudcomputingexpo
2010west.sys-con.com

 
    Virtualization Expo West
virtualization
2010west.sys-con.com
    Cloud Expo Europe
cloudexpoeurope2010.
sys-con.com

 
    Cloud Expo East
cloudcomputingexpo
2010east.sys-con.com

 
    Virtualization Expo East
virtualizationconference
2010east.sys-con.com
    Cloud Expo West
cloudcomputingexpo
2009west.sys-con.com

 
    Virtualization Expo West
virtualizationconference
2009west.sys-con.com
    GovIT Expo
govitexpo.com
 
    Cloud Expo Europe
cloudexpoeurope2009.sys-con.com
 

Cloud Expo 2011 Allstar Conference Faculty

S.F.S.
Dell

Singer
NRO

Pereyra
Oracle

Ryan
OpSource

Butte
PwC

Leone
Oracle

Riley
AWS

Varia
AWS

Lye
Oracle

O'Connor
AppZero

Crandell
RightScale

Nucci
Dell Boomi

Hillier
CiRBA

Morrison
Layer 7 Tech

Robbins
NYT

Schwarz
Oracle

What The Enterprise IT World Says About Cloud Expo
 
"We had extremely positive feedback from both customers and prospects that attended the show and saw live demos of NaviSite's enterprise cloud based services."
  –William Toll
Sr. Director, Marketing & Strategic Alliances
Navisite
 


 
"More and better leads than ever expected! I have 4-6 follow ups personally."
  –Richard Wellner
Chief Scientist
Univa UD
 


 
"Good crowd, good questions. The event looked very successful."
  –Simon Crosby
CTO
Citrix Systems
 


 
"It's the largest cloud computing conference I've ever seen."
  –David Linthicum
CTO
Brick Group