Click here to close now.

Welcome!

Security Authors: Robert McNutt, Pat Romanski, Dana Gardner, Skytap Blog, Elizabeth White

Related Topics: Cloud Expo, SOA & WOA, Virtualization, Web 2.0, Security, GovIT

Cloud Expo: Article

The Intersection of Big Data and Cloud Computing

Looking for the Right Answers in the Clouds

Everyone's talking about Big Data today. Is Big Data a buzz word, real phenomenon, or next evolution in our world? In this AFCEA white paper, we surveyed many notable experts to gain perspectives on Big Data.  This paper serves as a primer on Big Data characteristics and provides insights into technology challenges and solutions.  The intent is to help federal agencies, companies, and communities develop new solutions for consuming, storing, processing, and analyzing Big Data in order to find the right answers needed to accomplish the mission, gain competitive advantage, and collaborate in more meaningful ways.

It is a BIG DATA world with a current volume of 1.8 zetabytes of data created per year and doubling every two years.  Technologies--cloud computing, Hadoop, MapReduce, flash array storage, business intelligence tools, etc-- are vital to an organization's ability to keep pace with Big Data.  The Big Data architecture introduces a fourth layer in the cloud computing stack.  Knowledge as a Service joins the traditional cloud layers (Infrastructure as a Service, Platform as a Service, and Software as a Service) as a focused layer dedicated to the management and analytics of Big Data including binding concepts such as pedigree, lineage, and provenance of data.  Harnessing Big Data will require a combination of technology implementations, business process changes, and workforce training to achieve breakthroughs for your organization.

What Is Big Data?
Let's start with a simple definition. McKinsey and Company define Big Data as "Datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze". Big Data can also be characterized by a series of descriptors starting with the letter V.  In the 1990s, the word "volume" emerged to describe the rapidly growing rate of data in the Internet age.  The table below, from Barbara Wixom of the University of Virginia, offers 15 different data dimensions for Big Data.  For brevity's sake, let's examine the four most common descriptors of volume, velocity, variety, and validity.

Source:  Barbara Wixom, 2012

The volume of data produced in a 24-hour period is staggering and amounts to 1.8 zetabytes per year.  Every day, 2 million blogs are posted, 172 million users visit Facebook (spending a combined 4.7 billion minutes on a single social networking site), 51 million minutes of video are uploaded, and 250 million digital photos are shared.   We continue to generate 294 billion emails each day, even though many consider email an outdated form of communication.

Perhaps more fascinating is that data velocity is accelerating.  Velocity is the speed at which data is growing and this extreme speed (1.8 zettabytes now and 3.6 zettabytes in 2013) is taxing our current information technology capabilities.  According to an IDC Digital Universe Study, we are doubling the world's information every 18 months. This trend will not slow down anytime soon.  Will we be able to manage data in our near future?  Did you know that each second of high-definition video generates two thousand times as many bytes as one single page of text?  IBM research indicates that 90 percent of the world's data has been created in the last two years alone.  Apple is selling more iPhones per day than they are babies born in the world, as noted by MBAOnline.com.    Samsung's smart phone sales are ahead of Apple sales at an estimated 41 million to 32.6 million for 2Q2012, and demonstrate the rise of additional handheld platforms contributing to the speed at which we create new data.

The third descriptor for Big Data is variety or the types of data being created.  You can generally split variety into structured and unstructured form.  The 294 billion emails per day can be considered structured text and one of the simplest forms of Big Data.  Financial transactions including movie ticket sales, gasoline sales, restaurant sales, etc., are generally structured and make up a small fraction of the data running around the global networks today. Unstructured data is a primary source of growth in variety.  Music is an ever increasing variety of data and we are streaming nearly 19 million hours of music each day over the free music service, Pandora.  Spotify, a paid streaming media service, is now the number two revenue source for music labels-second behind Apple's iTunes.  Old television shows and movies are another source of variety in the non-structured realm.  There are over 864,000 hours of video uploaded to YouTube each day.  According to MBAOnline.com, we could pipe 98 years of non-stop cat videos into everyone's home for endless hours of boredom, fun, or insanity!

The biggest challenge from a data variety perspective is harnessing the unstructured information for business relevance and data driven decisions.  We've spent decades perfecting analytic tools for structured information.  Analytic tools for unstructured data are more limited and less intuitive. Not all relevant marketing data, as an example, is confined to structured business transactions.  Tweets, Facebook posts, YouTube video, and so forth, now represent valid indicators to a business.  Corporate reputations can be improved or demolished nearly instantaneously by these new sources of data.

Validity is a singular term designed to characterize the quality, pedigree, lineage, provenance, value, integrity, setting, and context for the data.  Structured and unstructured data needs validity characterization and it should follow the data from acquisition to retirement.  Information from a trusted source is more highly valued than information from a new or casual source.  Over time, however, the new source can be further tested and validity of prior data from that source may increase or decrease.  Maintaining data heritage is more complex than meta-data tagging and requires situational awareness (i.e., context) when using the data for business decisions.

Is Cloud Computing ready for Big Data?  Is IT ready for Big Data?
Our survey respondents (notable experts in the Big Data, Cloud Computing, and IT industry) generally concurred on the need for fast, flexible IT infrastructure to support Big Data.  Anything that takes the infrastructure challenges out of the way of the business was deemed part of the critical path to success.  Tim Estes, Digital Reasoning, noted the cloud "gives you the speed you need".  Similarly, Jeff Jonas from IBM declared any infrastructure that lets you "scale up and out affordably is goodness."  Four specific areas were identified for deeper investigation as we considered if Cloud Computing and IT departments were ready for Big Data:  security; store and process; sensemaking; and stewardship.

Security
Security remains the number one obstacle to preventing IT organizations from adopting Cloud Computing.  This same AFCEA sub-committee explored security in cloud computing in a white paper released in 2011. The full white paper can be reviewed through this link.

In summary, the 2011 AFCEA white paper noted that cloud computing offers significantly improved visibility and insight that drives new cyber security solutions. Access to cloud computing services in traditional computing environments and in modern mobile environments provides numerous opportunities to gain visibility and retrieve security data points across your infrastructure, platforms, and applications.  Collecting pulse points from the high-speed networks used to connect to your cloud provides insight into threats attempting to breach the perimeter of your infrastructure.  Remote access devices and global position/location can be detected through other data points, triggering the requirement for additional security access and authorization controls while also providing real-time knowledge of the security status of end-user devices.  Constant monitoring of applications and platforms offers additional data collection points for discovering vulnerabilities in applications that can be used to infiltrate the infrastructure.  Moreover, merging measures and metrics from co-located environments or other cloud locations in your global enterprise can add yet another layer of data to the collection.

Store and Process
A May 2012 Meritalk Study called "The Big Data Gap" noted that most government IT leaders are fairly positive about the storage and processing resources needed to harness Big Data.  The study indicates the respondents currently own about half of the compute resources they actually need.  The fear is they have only about 20 percent of the capacity (in storage and processing power) needed to manage the Big Data headed their way.  Industry cloud providers have developed efficient Hadoop cloud-based architectures to handle Big Data.  Left on its own, Hadoop will very efficiently process your Big Data but will do so leaving no resources available for other work.  Experience indicates restrictions are required on Hadoop jobs to prevent Hadoop from grabbing all available storage and processing resources from the cloud.  Industry advances for storage and processing are rapidly emerging to respond to Big Data requirements.  Flash array storage is now available at enterprise-class levels from companies like Whiptail and EMC.  The InfiniBand trade association created a high performance computing input/output  fabric to deliver the internal data center speed needed for Big Data.  Gaming providers like NVidia have implemented high-speed clouds for acceleration using graphical processing units (GPU).  Moreover, global network providers continue to drive performance advances in optical and electrical equipment with a goal of keeping pace with the explosion of streaming bits and bytes.  Cisco's Global Forecast predicts global network traffic will exceed 110 Exabytes per month by 2016.  More answers and technologies are emerging each day to overcome remaining deficiencies in storage and processing capabilities for Big Data.

Sensemaking
In the world of Big Data, making sense of the data is not trivial.  The volume, velocity, variety, and validity of the data now available can create link analysis diagrams more closely resembling nature's most intricate floral design.  You would need Sheldon Cooper's Big Bang Theory eidetic memory to begin to make sense of the data...not to mention a movie theater-sized computer monitor screen!  What if your primary viewing device is a smart phone or a 5 inch tablet?   Both Gartner and Forrester predict significant increases in the use of mobile devices as Business Intelligence access platforms.

What you need are solutions that make sense of new data in time to derive new observations as the observations actually happen.  You also need solutions that allow you to make decisions fast enough to do something about the old and new observations while the transaction is still happening.  The tools must protect various slices of the complex data to ensure the user is approved to see the underlying data sources based on the provenance of each individual data element.  Advanced analytic and security tools to separate data appropriately, whether your data is in a public cloud or a private cloud, are necessary.  Commercial cloud providers are keenly focused on data and privacy protection to ensure only authorized users gain access--using technologies such as encryption, identity management, authorization services, etc.  Commercial cloud providers are accumulating very successful track records for safeguarding information.

Stewardship
The fourth challenge for the IT department is data stewardship-often considered data ownership and/or data management.  The Big Data Gap MeriTalk survey from May 2012 indicated that nearly 70 percent of respondents thought the "IT Department" had some role in owning and managing the data.  Less than 30 percent of respondents indicated the department generating the data should have these roles.  Regardless of the decision, someone has to own and manage the data.

The link between financial performance and effective data management is strengthening as companies learn to harvest Big Data.  The Economist Intelligence Unit indicates strategies for collecting and analyzing data need to rise to the C-suite level.  In essence, Big Data makes IT even more strategic to the business.  New/modified career tracks are emerging (in forward-leaning organizations) to develop employees with the skills necessary to validate data sources, define and measure pedigree and lineage of data sources, and effectively manage Big Data for an enterprise.

Winning in a Big Data World
As noted above, Big Data is complex and the challenges it presents are daunting.  In today's environment, Big Data demands phenomenal corporate balance.   Success and competitive advantage require you to focus on technologies, business processes, and people.  Your company needs:

  • New technologies for controlling Big Data;
  • Business processes designed for rapid decisions using Big Data; and
  • People trained to make smart decisions exploiting Big Data.

Technology

The Cloud Computing technology stack is evolving to handle Big Data.  Our survey revealed the need for a new, four layer stack associated with a Big Data architecture.  The Cloud stack of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) must shift to accommodate the introduction of Knowledge as a Service (KaaS) in between PaaS and SaaS.    This figure depicts the insertion of the new KaaS layer to drive Big Data results.  Without a Knowledge layer, companies end up investing heavily in customer knowledge engineering, adaptors, and connectors--essentially ending the elastic advantage of the Cloud at the IaaS layer.  This slows application development and requires human-intensive work on data maps/models and ontologies across disparate systems.  The KaaS layer pushes you into a heavily automated, algorithm-driven common knowledge layer that embraces Cloud speed and elasticity.

Innovators have embraced this KaaS idea with Google's PageRank algorithm as an example of a common index with searchable attributes capable of working across the diversity of the Web without relying on substantial amounts of manual organization. Deep insights from Big Data require semantic silos-both structured and unstructured content--to be "knowledge processed" and moved into the Cloud in order to capitalize on the business advantages opportunities of data mining.  The specific technologies to ingest and hold structured and unstructured data (as repositories) are similar with any processing differences derived from the complexity of business needs.  The repositories are living; as new data arrives, its connection to existing data will be identified and may new data may change the value of the old data to your business.  This concept of "data finding data" is the subject of IBM efforts under the direction of Jeff Jonas.  You can read more at the here.

Business Processes
In a Big Data world, companies should pay as much attention to the data as they do their other corporate assets, e.g., labor and capital.  Company goals must be clear with labor, capital, and data aligned.  Your employees should be empowered to make decisions with proper checks, balances, and audits built in.  Speed is critical and using multi-layered and lengthy paths to finalize decisions will limit your competitive advantage.  Business processes designed around lessons learned and adaptability will facilitate Big Data organizations.  Governance models and decision thresholds for employees should be clear, with escalation paths obvious and some understanding of the potential "mosaic effect" present.  The "mosaic effect" occurs when seemingly unclassified or benign data are combined together by an analyst with a resulting picture that becomes confidential or more highly classified.  Training your employees to recognize the "mosaic effect" is necessary to protect sensitive results, intellectual property, and competitive advantage.    Finally, adhering to strict data management rules (e.g., process once and use many times), will facilitate long-term Big Data utility by protecting the integrity and provenance of your corporate data.

People
The third element in your winning balance in a Big Data world is your people.  Bad decisions in today's world are more obvious and less tolerated.  Sometimes, analysis of Big Data drives a company to the wrong conclusion or decision.  Other times, Big Data can be successfully used to back up instincts with facts.  Big Data in financial institutions has become so complex, the Federal Deposit Insurance Corporation created an entire office for overseeing Complex Financial Institutions (FDIC/CFI).

Companies that successfully train their people to use Big Data wisely will reap financial and market share rewards.  Alternative analysis, critical thinking, and other analytic skills-combined with experiential learning and mentoring--will be necessary to ensure your team is seeing the right answer in the possibilities.  Thornton May's book, The New Know, highlights the requirement for companies to capitalize on data and brain power to have good knowledge of what happens next...not what happened in the past.  Generally speaking, everybody will have a Moneyball team in the future.  What's going to set your team apart?

Big Data Summary
Cloud Computing provides the technology foundation to capitalize on Big Data for corporate success.  The flexible infrastructure offered through Cloud Computing--combined with increased storage and processing power of new technologies in the Cloud-provide the rich, agile compute platform to handle the volume, variety, velocity, and validity needs of Big Data.  Insert a fourth layer into the Cloud Computing stack (Knowledge as a Service) between  PaaS and Saas to reduce human-intensive ontology work in favor of automated, algorithm-driven features designed to exploit disparate data in the Cloud.

Beyond technology, Big Data is likely to require changes in your business processes to ensure decisions with proper analytic judgment with necessary oversight operating at the right speed for competitive advantage.  Spend time training your people to analyze data from alternative points of view and to quickly accept automatically-generated observations.  People make decisions; data doesn't.  Drowning a poorly trained employee in loads of data will still produce poor decisions.

Social media, instantaneous access, and an "always connected" population of stakeholders will increasingly demand transparent accountability.  Use Big Data through Cloud Computing to demonstrate your corporate decisions are clearly backed by facts.

Sources
Cloud and Big Data Experts Surveyed

  • Zalmai Azmi, Senior Vice President, CACI International, Inc.
  • Charles Croom, Vice President, Lockheed Martin Information Technology
  • Christopher Day, Senior Vice President, Terremark Federal Group (A Verizon Company)
  • John Dvorak, Federal Bureau of Investigation
  • Tim Estes, Chairman and CEO, Digital Reasoning Systems
  • Jeff Jonas, Chief Scientist, IBM
  • Barbara Wixon, Associate Professor of Commerce, University of Virginia

Other Sources Cited and/or Used

  • How Much Data Will Humans Create & Store This Year, Josh Catone (June 28, 2011)
  • Three Big WHATs to Identify Big Data Challenges, Pearl Zhu (April 2012)
  • Bringing big data to the enterprise, IBM
  • The BIG Picture on BIG DATA, GovConExec (April 2012)
  • Big Data: The next frontier for innovation, competition, and productivity, McKinsey Global Institute (May 2011)
  • Big Data: Harnessing a game-changing asset, The Economist Intelligence Unit (September 2011)
  • A Day in the Life of the Internet, Matt Silverman (March 06, 2012)
  • How to Be Ready for Big Data, Thor Olavsrud (March 20, 2012)
  • The Big Data Gap, Meritalk (May 7, 2012)
  • Cloudy with a Chance of Savings, Meritalk (April 25, 2012)
  • The New Know, Thornton May
  • Moneyball, Michael Lewis

More Stories By Jill Tummler Singer

Jill Tummler Singer is CIO for the National Reconnaissance Office (NRO)- which as part of the 16-member Intelligence Community plays a primary role in achieving information superiority for the U.S. Government and Armed Forces. A DoD agency, the NRO is staffed by DoD and CIA personnel. It is funded through the National Reconnaissance Program, part of the National Foreign Intelligence Program.

Prior to joining the NRO, Singer was Deputy CIO at the Central Intelligence Agency (CIA), where she was responsible for ensuring CIA had the information, technology, and infrastructure necessary to effectively execute its missions. Prior to her appointment as Deputy CIO, she served as the Director of the Diplomatic Telecommunications Service (DTS), United States Department of State, and was responsible for global network services to US foreign missions.

Singer has served in several senior leadership positions within the Federal Government. She was the head of Systems Engineering, Architecture, and Planning for CIA's global infrastructure organization. She served as the Director of Architecture and Implementation for the Intelligence Community CIO and pioneered the technology and management concepts that are the basis for multi-agency secure collaboration. She also served within CIA’s Directorate of Science and Technology.

@ThingsExpo Stories
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impact.
Wearable devices have come of age. The primary applications of wearables so far have been "the Quantified Self" or the tracking of one's fitness and health status. We propose the evolution of wearables into social and emotional communication devices. Our BE(tm) sensor uses light to visualize the skin conductance response. Our sensors are very inexpensive and can be massively distributed to audiences or groups of any size, in order to gauge reactions to performances, video, or any kind of presentation. In her session at @ThingsExpo, Jocelyn Scheirer, CEO & Founder of Bionolux, will discuss ho...
SYS-CON Events announced today that GENBAND, a leading developer of real time communications software solutions, has been named “Silver Sponsor” of SYS-CON's WebRTC Summit, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. The GENBAND team will be on hand to demonstrate their newest product, Kandy. Kandy is a communications Platform-as-a-Service (PaaS) that enables companies to seamlessly integrate more human communications into their Web and mobile applications - creating more engaging experiences for their customers and boosting collaboration and productiv...
Roberto Medrano, Executive Vice President at SOA Software, had reached 30,000 page views on his home page - http://RobertoMedrano.SYS-CON.com/ - on the SYS-CON family of online magazines, which includes Cloud Computing Journal, Internet of Things Journal, Big Data Journal, and SOA World Magazine. He is a recognized executive in the information technology fields of SOA, internet security, governance, and compliance. He has extensive experience with both start-ups and large companies, having been involved at the beginning of four IT industries: EDA, Open Systems, Computer Security and now SOA.
From telemedicine to smart cars, digital homes and industrial monitoring, the explosive growth of IoT has created exciting new business opportunities for real time calls and messaging. In his session at @ThingsExpo, Ivelin Ivanov, CEO and Co-Founder of Telestax, shared some of the new revenue sources that IoT created for Restcomm – the open source telephony platform from Telestax. Ivelin Ivanov is a technology entrepreneur who founded Mobicents, an Open Source VoIP Platform, to help create, deploy, and manage applications integrating voice, video and data. He is the co-founder of TeleStax, a...
The industrial software market has treated data with the mentality of “collect everything now, worry about how to use it later.” We now find ourselves buried in data, with the pervasive connectivity of the (Industrial) Internet of Things only piling on more numbers. There’s too much data and not enough information. In his session at @ThingsExpo, Bob Gates, Global Marketing Director, GE’s Intelligent Platforms business, to discuss how realizing the power of IoT, software developers are now focused on understanding how industrial data can create intelligence for industrial operations. Imagine ...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing and analyzing streaming data is the Lambda Architecture, representing a model of how to analyze rea...
SYS-CON Events announced today that Vitria Technology, Inc. will exhibit at SYS-CON’s @ThingsExpo, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Vitria will showcase the company’s new IoT Analytics Platform through live demonstrations at booth #330. Vitria’s IoT Analytics Platform, fully integrated and powered by an operational intelligence engine, enables customers to rapidly build and operationalize advanced analytics to deliver timely business outcomes for use cases across the industrial, enterprise, and consumer segments.
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...
SYS-CON Events announced today that Open Data Centers (ODC), a carrier-neutral colocation provider, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015, at the Javits Center in New York City, NY. Open Data Centers is a carrier-neutral data center operator in New Jersey and New York City offering alternative connectivity options for carriers, service providers and enterprise customers.
When it comes to the Internet of Things, hooking up will get you only so far. If you want customers to commit, you need to go beyond simply connecting products. You need to use the devices themselves to transform how you engage with every customer and how you manage the entire product lifecycle. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, will show how “product relationship management” can help you leverage your connected devices and the data they generate about customer usage and product performance to deliver extremely compelling and reliabl...
SYS-CON Events announced today that CodeFutures, a leading supplier of database performance tools, has been named a “Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place on June 9–11, 2015, at the Javits Center in New York, NY. CodeFutures is an independent software vendor focused on providing tools that deliver database performance tools that increase productivity during database development and increase database performance and scalability during production.
The IoT market is projected to be $1.9 trillion tidal wave that’s bigger than the combined market for smartphones, tablets and PCs. While IoT is widely discussed, what not being talked about are the monetization opportunities that are created from ubiquitous connectivity and the ensuing avalanche of data. While we cannot foresee every service that the IoT will enable, we should future-proof operations by preparing to monetize them with extremely agile systems.
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. Learn about IoT, Big Data and deployments processing massive data volumes from wearables, utilities and other machines.
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...
“In the past year we've seen a lot of stabilization of WebRTC. You can now use it in production with a far greater degree of certainty. A lot of the real developments in the past year have been in things like the data channel, which will enable a whole new type of application," explained Peter Dunkley, Technical Director at Acision, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that Intelligent Systems Services will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Established in 1994, Intelligent Systems Services Inc. is located near Washington, DC, with representatives and partners nationwide. ISS’s well-established track record is based on the continuous pursuit of excellence in designing, implementing and supporting nationwide clients’ mission-critical systems. ISS has completed many successful projects in Healthcare, Commercial, Manufacturing, ...
PubNub on Monday has announced that it is partnering with IBM to bring its sophisticated real-time data streaming and messaging capabilities to Bluemix, IBM’s cloud development platform. “Today’s app and connected devices require an always-on connection, but building a secure, scalable solution from the ground up is time consuming, resource intensive, and error-prone,” said Todd Greene, CEO of PubNub. “PubNub enables web, mobile and IoT developers building apps on IBM Bluemix to quickly add scalable realtime functionality with minimal effort and cost.”
The major cloud platforms defy a simple, side-by-side analysis. Each of the major IaaS public-cloud platforms offers their own unique strengths and functionality. Options for on-site private cloud are diverse as well, and must be designed and deployed while taking existing legacy architecture and infrastructure into account. Then the reality is that most enterprises are embarking on a hybrid cloud strategy and programs. In this Power Panel at 15th Cloud Expo (http://www.CloudComputingExpo.com), moderated by Ashar Baig, Research Director, Cloud, at Gigaom Research, Nate Gordon, Director of T...
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more. In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, including what it is today, what it might ultimately be, the role of wearable tech, and technology gaps stil...