Click here to close now.


Containers Expo Blog Authors: Carmen Gonzalez, Liz McMillan, Yakov Fain, XebiaLabs Blog, AppDynamics Blog

Blog Feed Post

CTOvision Big Data Reporting for 2012: CTOs want discipline in the language of sensemaking


big-data-620x400This special report provides insights from a our reporting over the last 12 months, including summaries of our Government Big Data Newsletter (sign up for this weekly report here

Among the many Big Data themes we reported on in 2012, one seemed to resonate the most with our readers– all of us with a techie bent have realized that we need more discipline in our use of the term Big Data. We revisited this need for discipline in our post of:

Big Data Defined for 2013: A definition that can help in your interaction with the IT community

In it we suggest everyone follow the lead of the TechAmerica foundation in defining Big Data. At CTOvision we will use the term this way:

Big Data: A phenomenon defined by the rapid acceleration in the expanding volume of high velocity, complex and diverse types of data. Big Data is often defined along three dimensions– volume, velocity and variety.

Big Data Solutions: Advanced techniques and technologies to enable the capture, storage, distribution, management and analysis of information.

Early in the year we provided insights for program managers that want to get a started with Big Data solutions. We gave quickstart tips on how you can stand up your own cluster in the cloud. We followed up with ways you can quickly use Whirr to automate that.

Through the year we published several pieces on topics associated with the ethics issues around Big Data. This included a series by Kord Davis who reported on topics like:

We reported extensively on new concepts for Big Data involving very large quantities of data in memory. The greatest expert in this field, Terracotta CEO Robin Gilthorpe, provided his views on Big Data Trends to watch in 2013 by a YouTube video we highlighted to our readers. His view is that requirements will drive the industry to several new highs and will include dramatic social change because of this. His five predictions for 2013 are:

  • Big Data will be fast data – Enterprises will profit from Big Data intelligence in proportion to how quickly they can act on it.
  • Rise of the hybrid cloud – It’s no longer about building your own platform; it’s more efficient to play in ecosystems.
  • CIOs and CMOs get a lot closer – Marketing spend on technology is about to eclipse IT spend on technology.
  • The Internet of things crosses the chasm – In just a few years, over 25 billion data-producing devices will be connected.
  • Social becomes part of life’s fabric – Remember e-business departments? Social will permeate in the same way.

We also wrote about new concepts for capture, storage, distribution and management of data via new concepts like dispersed compute storage. Solutions like this from Cleversafe (see Cleversafe: how does it really work?) are true game changers inserting dramatic improvements to security and functionality and doing so with a quick return on investment.

We reported on many other firms associated with the fielding of high quality Big Data solutions into the federal enterprise, including MarkLogic, Oracle, Datameer, Cloudera, Terracotta, Cleversafe, Splunk, Kapow, Sitscape, CloudFrontGroup, ClearStory, and Thetus. These firms are fielding real, working solutions for Big Data and we will be reporting more on them in 2013 we are sure.

Another clear theme in our reporting of 2012 on Big Data was the importance of mission focus. That is why we are all so excited about the new technical capabilities of Hadoop and the related technologies. It is about impact to mission. Which leads to the Government Big Data Solutions Award:

Our reporting on Big Data for 2012 included announcing the results of the Government Big Data Solutions Award. The Government Big Data Solutions Award was established to highlight innovative solutions and facilitate the exchange of best practices, lessons learned and creative ideas for addressing Big Data challenges. The Top Five Nominees of 2012 were chosen for criteria that included:

  • Focus on current solutions: The ability to make a difference in government missions in the very near term was the most important evaluation factor.
  • Focus on government teams: Industry supporting government also considered, but this is about government missions.
  • Consideration of new approaches: New business processes, techniques, tools, models for enhancing analysis are key.

Winner of the 2012 Government Big Data Solutions Award was the National Cancer Institute’s Frederick National Laboratory.

The NCI Funded Frederick National Laboratory has been using Big Data solutions in pioneering ways to support researchers working on complex challenges around the relationship between genes and cancers. In a  recent example, they have built infrastructure capable of cross-referencing the relationships between 17000 genes and five major cancer subtypes across 20 million biomedical publication abstracts.  By cross referencing TCGA gene expression data from simulated 60 million patients and miRNA expression for a simulated 900 million patients. The result: understanding additional layers of the pathways these genes operate in and the drugs that target them. This will help researchers accelerate their work in areas of importance for all humanity.  This solution, based on the Oracle Big Data Appliance with the Cloudera Distribution of Apache Hadoop (CDH), leverages capabilities available from the Big Data community today in pioneering ways that can serve a broad range of researchers. The promising approach of this solution is repeatable across many other Big Data challenges for bioinfomatics, making this approach worthy of its selection as the 2012 Government Big Data Solution Award.

We also reported on a classification framework for Big Data solutions produced by  in a very insightful post on Classifying Today’s “Big Data Innovators”.  This is an innovative approach that is easy to think through and should be repeatable for many vendors in this space, and should help enterprise technologists think through which vendors may be right for their mission needs.  In it he categorizes the 13 innovative Big Data innovators reported on by Information Week. They are:

1.  MongoDB
2.  Amazon (Redshift, EMR, DynamoDB)
3.  Cloudera (CDH, Impala)
4.  Couchbase
5.  Datameer
6.  Datastax
7.  Hadapt
8.  Hortonworks
9.  Karmasphere
10.  MapR
11.  Neo Technology
12.  Platfora
13.  Splunk

He classifies them into:

1.  Operational data stores that allow flexible schemas
2.  Hadoop distributions
3.  Real-time Hadoop-based analytical platforms
4.  Hadoop-based BI solutions

We will likely return to this classification for reporting in 2013.

What does our reporting over the last 12 months signal for the next 12 months? We believe we will see a continued expansion of the user end of big data solutions. It is probably an oversimplification to say it this way, but one way to look at is is that we have an approach to the backend infrastructure, and that is primarily one built on the Apache Hadoop framework of software over commodity IT integrated into existing but modern enterprise solutions. Their is room for innovation here of course but in general the path of the backend is set and will continue. The dynamic change to expect now is in the user-facing applications. Brace yourself! Changes there will be dynamic.

For reports on Big Data throughout 2013 please sign up for our Government Big Data Newsletter. Find the weekly report at:

Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley, former CTO of the Defense Intelligence Agency (DIA), is Founder and CTO of Crucial Point LLC, a technology research and advisory firm providing fact based technology reviews in support of venture capital, private equity and emerging technology firms. He has extensive industry experience in intelligence and security and was awarded an intelligence community meritorious achievement award by AFCEA in 2008, and has also been recognized as an Infoworld Top 25 CTO and as one of the most fascinating communicators in Government IT by GovFresh.

@ThingsExpo Stories
WebRTC services have already permeated corporate communications in the form of videoconferencing solutions. However, WebRTC has the potential of going beyond and catalyzing a new class of services providing more than calls with capabilities such as mass-scale real-time media broadcasting, enriched and augmented video, person-to-machine and machine-to-machine communications. In his session at @ThingsExpo, Luis Lopez, CEO of Kurento, will introduce the technologies required for implementing these ideas and some early experiments performed in the Kurento open source software community in areas ...
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome,” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
SYS-CON Events announced today that Dyn, the worldwide leader in Internet Performance, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Dyn is a cloud-based Internet Performance company. Dyn helps companies monitor, control, and optimize online infrastructure for an exceptional end-user experience. Through a world-class network and unrivaled, objective intelligence into Internet conditions, Dyn ensures traffic gets delivered faster, safer, and more reliably than ever.
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability. In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi's VP Business Development and Engineering, will explore the IoT cloud-based platform technologies driving this change including privacy controls, data transparency and integration of real time context w...
Who are you? How do you introduce yourself? Do you use a name, or do you greet a friend by the last four digits of his social security number? Assuming you don’t, why are we content to associate our identity with 10 random digits assigned by our phone company? Identity is an issue that affects everyone, but as individuals we don’t spend a lot of time thinking about it. In his session at @ThingsExpo, Ben Klang, Founder & President of Mojo Lingo, will discuss the impact of technology on identity. Should we federate, or not? How should identity be secured? Who owns the identity? How is identity ...
The IoT market is on track to hit $7.1 trillion in 2020. The reality is that only a handful of companies are ready for this massive demand. There are a lot of barriers, paint points, traps, and hidden roadblocks. How can we deal with these issues and challenges? The paradigm has changed. Old-style ad-hoc trial-and-error ways will certainly lead you to the dead end. What is mandatory is an overarching and adaptive approach to effectively handle the rapid changes and exponential growth.
The buzz continues for cloud, data analytics and the Internet of Things (IoT) and their collective impact across all industries. But a new conversation is emerging - how do companies use industry disruption and technology enablers to lead in markets undergoing change, uncertainty and ambiguity? Organizations of all sizes need to evolve and transform, often under massive pressure, as industry lines blur and merge and traditional business models are assaulted and turned upside down. In this new data-driven world, marketplaces reign supreme while interoperability, APIs and applications deliver un...
Electric power utilities face relentless pressure on their financial performance, and reducing distribution grid losses is one of the last untapped opportunities to meet their business goals. Combining IoT-enabled sensors and cloud-based data analytics, utilities now are able to find, quantify and reduce losses faster – and with a smaller IT footprint. Solutions exist using Internet-enabled sensors deployed temporarily at strategic locations within the distribution grid to measure actual line loads.
The Internet of Everything is re-shaping technology trends–moving away from “request/response” architecture to an “always-on” Streaming Web where data is in constant motion and secure, reliable communication is an absolute necessity. As more and more THINGS go online, the challenges that developers will need to address will only increase exponentially. In his session at @ThingsExpo, Todd Greene, Founder & CEO of PubNub, will explore the current state of IoT connectivity and review key trends and technology requirements that will drive the Internet of Things from hype to reality.
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows "less than 10 percent of IoT developers are making enough to support a reasonably sized team....
You have your devices and your data, but what about the rest of your Internet of Things story? Two popular classes of technologies that nicely handle the Big Data analytics for Internet of Things are Apache Hadoop and NoSQL. Hadoop is designed for parallelizing analytical work across many servers and is ideal for the massive data volumes you create with IoT devices. NoSQL databases such as Apache HBase are ideal for storing and retrieving IoT data as “time series data.”
Today’s connected world is moving from devices towards things, what this means is that by using increasingly low cost sensors embedded in devices we can create many new use cases. These span across use cases in cities, vehicles, home, offices, factories, retail environments, worksites, health, logistics, and health. These use cases rely on ubiquitous connectivity and generate massive amounts of data at scale. These technologies enable new business opportunities, ways to optimize and automate, along with new ways to engage with users.
The IoT is upon us, but today’s databases, built on 30-year-old math, require multiple platforms to create a single solution. Data demands of the IoT require Big Data systems that can handle ingest, transactions and analytics concurrently adapting to varied situations as they occur, with speed at scale. In his session at @ThingsExpo, Chad Jones, chief strategy officer at Deep Information Sciences, will look differently at IoT data so enterprises can fully leverage their IoT potential. He’ll share tips on how to speed up business initiatives, harness Big Data and remain one step ahead by apply...
There will be 20 billion IoT devices connected to the Internet soon. What if we could control these devices with our voice, mind, or gestures? What if we could teach these devices how to talk to each other? What if these devices could learn how to interact with us (and each other) to make our lives better? What if Jarvis was real? How can I gain these super powers? In his session at 17th Cloud Expo, Chris Matthieu, co-founder and CTO of Octoblu, will show you!
As a company adopts a DevOps approach to software development, what are key things that both the Dev and Ops side of the business must keep in mind to ensure effective continuous delivery? In his session at DevOps Summit, Mark Hydar, Head of DevOps, Ericsson TV Platforms, will share best practices and provide helpful tips for Ops teams to adopt an open line of communication with the development side of the house to ensure success between the two sides.
SYS-CON Events announced today that ProfitBricks, the provider of painless cloud infrastructure, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. ProfitBricks is the IaaS provider that offers a painless cloud experience for all IT users, with no learning curve. ProfitBricks boasts flexible cloud servers and networking, an integrated Data Center Designer tool for visual control over the cloud and the best price/performance value available. ProfitBricks was named one of the coolest Clo...
SYS-CON Events announced today that IBM Cloud Data Services has been named “Bronze Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. IBM Cloud Data Services offers a portfolio of integrated, best-of-breed cloud data services for developers focused on mobile computing and analytics use cases.
SYS-CON Events announced today that Sandy Carter, IBM General Manager Cloud Ecosystem and Developers, and a Social Business Evangelist, will keynote at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Developing software for the Internet of Things (IoT) comes with its own set of challenges. Security, privacy, and unified standards are a few key issues. In addition, each IoT product is comprised of at least three separate application components: the software embedded in the device, the backend big-data service, and the mobile application for the end user's controls. Each component is developed by a different team, using different technologies and practices, and deployed to a different stack/target - this makes the integration of these separate pipelines and the coordination of software upd...
Mobile messaging has been a popular communication channel for more than 20 years. Finnish engineer Matti Makkonen invented the idea for SMS (Short Message Service) in 1984, making his vision a reality on December 3, 1992 by sending the first message ("Happy Christmas") from a PC to a cell phone. Since then, the technology has evolved immensely, from both a technology standpoint, and in our everyday uses for it. Originally used for person-to-person (P2P) communication, i.e., Sally sends a text message to Betty – mobile messaging now offers tremendous value to businesses for customer and empl...