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  Think Big – Now Think Even Bigger
  Join Us at Internet of Things at Cloud Expo, November 11-13,
at the Javits Center!


The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago.

All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend Internet of Things at Cloud Expo in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!

Delegates to Internet of Things at Cloud Expo will be able to attend eight separate, information-packed tracks:

  • Enterprise Cloud
  • Digital Transformation
  • The API Enterprise | Mobility & Security
  • DevOps | Containers & Microservices
  • Cognitive Computing | AI, ML, DL
  • Big Data | Analytics
  • IoT | IIoT | Smart Cities
  • Hot Topics | FinTech | WebRTC

There are 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.


We'll see you in New York!



Day 3 Keynote at @ThingsExpo | Chris Matthieu, CTO of Octoblu
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu's platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
  Themes & Topics to Be Discussed

Consumer IoT
• Wearables
• Smart Appliances
• Smart Cars
• Smartphones 2.0
• Automation
• Smart Travel
• Personal Fitness
• Health Care
• Personalized Marketing
• Customized Shopping
• Personal Finance
• The Digital Divide
• Mobile Cash & Markets
• Games & The IoT
• The Future of Education
• Virtual Reality

Enterprise IoT
• The Business Case for
x IoT
• Smart Grids
• Smart Cities
• Smart Transportation
• The Smart Home
• M2M
• Authentication/Security
• Wiring the IoT
• The Internet of
x Everything
• Digital Transformation
x of Enterprise IT
• Agriculture
• Transportation
• Manufacturing
• Local & State
x Government
• Federal Government

IoT Developers | WebRTC Summit
• Eclipse Foundation
• Cloud Foundry
• Linux Containers
• Node-Red
• Open Source Hardware
• Ajax and the IoT
• Leveraging SOA
• Multi-Cloud IoT
• Evolving Standards
• WebSockets
• Security & Privacy
x Protocols
• GPS & Proximity
x Services
• Bluetooth/RFID/etc
• XMPP
• Nest Labs



The Top Keynotes, the Best Sessions, a Rock Star Faculty and the Most Qualified Delegates of ANY Internet of Things Event!


The future of computing lies in these things. As computing takes a much more active role in our lives it will at the same time become much more invisible. Internet of Things Expo will address the challenges in getting from where we are today to this future.
 
The high-energy event is a must-attend for senior technologists from CEOs on down – including CIOs, CTOs, directors of infrastructure, VPs of technology, IT directors and managers, network and storage managers, network engineers, enterprise architects, and communications and networking specialists.




@ThingsExpo Power Panel | The World's Many IoTs: Which Are the Most Important?
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, panelists discussed what things are the most important, which will have the most profound effect on the world, and what should we expect to see over the next couple of years.
Benefits of Attending the Three-Day Technical Program
  LEARNexactly why Internet of Things is relevant today from an economic, business and technology standpoint.
  HEAR first-hand from industry experts the common issues and requirements for creating a platform for the Internet of Things.
  SEE what new tools and approaches the Internet of Things requires.
  DISCOVER how to drive a distributed approach to the Internet of Things, where applications move to the data.
  FIND OUThow the vast volumes of new data produced by the Internet of Things provides a valuable new source of business insight through advanced analytical techniques.
  MASTER how the ongoing development of smart cities, cars, and houses will enhance connectivity infrastructure.
Lunch Power Panel | Microservices & IoT- Moderated by Jason Bloomberg
In this Power Panel at @DevOpsSummit, moderated by Jason Bloomberg, president of Intellyx, panelists Roberto Medrano, Executive Vice President at Akana; Lori MacVittie, Evangelist for F5 Networks; and Troy Topnik, ActiveState's Technical Product Manager; and Otis Gospodnetic, founder of Sematext; peeled away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem filling in your buzzword bingo cards.


Big Data: So What! That’s Why You Virtualize
How data virtualization enables Big Data volume, variety, velocity and value

Big Data!  Yes it's BIG!

The volume is BIG!  The variety is BIG!  The velocity is BIG!

And hopefully the business value is BIG!

New Opportunities Bring New Ways to Leverage Proven Technology
There is no shortage of media articles, analyst reports, tradeshows, blogs and other source of Big Data technology insight and advice.

But it strikes me that in our search to be on the leading edge, we may be overlooking some great existing technology.

In fact, some technology, for example data virtualization, is even more useful in a Big Data world.

What Is Data Virtualization?
Data virtualization is an agile data integration approach organizations use to gain more insight from their data.  This includes traditional sources such as transaction systems, data warehouses and more as well as new sources such the cloud and Big Data.

Unlike data consolidation or data replication, data virtualization integrates these diverse data types without costly extra copies and additional data management complexity.  Seriously, if the data is already big, why make it even bigger by copying and storing it again and again?

With data virtualization, you respond faster to ever changing analytics and BI needs, fast-track your data management evolution and save 50-75% over data replication and consolidation.   In other words, you deliver value, the most important V but often not listed with the 3 Vs of Big Data (Volume, Velocity & Variety).

Variety Is Big Data Integration Challenge #1
Often, the biggest Big Data integration challenge is variety, not volume. Consider all the different Big Data types that may require integration:

  • Massively Parallel Processing based Appliances - Examples include EMC Greenplum, HP Vertica, IBM Netezza, SAP Hana, and more
  • Columnar/tabular NoSQL Data Stores - Examples include Hadoop, Hypertable, and more
  • XML Document Data Stores - Examples include CouchDB, MarkLogic, and MongoDB, and more
  • Key/value Data Stores - Examples include Cassandra, Memcached, Voldemort, and more

Fortunately integrating heterogeneous data sources is the original raison d'etre of data virtualization.  Why do you think many still call it data federation?

Volume Is Big Data Integration Challenge #2
As listed above there are many ways to store and manage big data.  Similarly, a plethora of analysis tools exist such as MapR, Karmasphere, Alpine Data Labs and more.

The biggest volume challenge is how to query large data sets from these high-volume sources at speed in order to feed these analytics?

The answer is data virtualization.

Data virtualization platforms use sophisticated rule- and cost-based query-optimization strategies that automatically create a query plan that optimizes processing and performance, with minimum overhead.

Advanced Query Optimization Is the Key to Data Virtualization
Here are but a few of the query optimization strategies and techniques data virtualization provides:

  • Pushdown - Data virtualization offloads as much query processing as possible by pushing down select query operations such as string searches, comparisons, local joins, sorting, aggregating, grouping into the underlying data sources. Thus you can take advantage of native capabilities.
  • Parallel Processing - Data virtualization optimizes query execution by employing parallel and asynchronous request processing. After building an optimized query plan, the data virtualization server executes data service calls asynchronously on separate threads, reducing idle time and data source response latency.
  • Distributed Joins - Data virtualization detects when a query being executed involves data consumed from different data sources and tries to employ distributed query optimization techniques to improve overall performance and minimize the amount of data moved over the network.  A variety of sort-merge, semi, hash and nested-loop joins are leveraged depending on the nature of the query and data sources.
  • Caching - Data virtualization can be configured to cache results for query, procedure and web service calls.  When enabled, the caching engine stores the cached result sets and queries them as appropriate.
  • Advanced Query Optimization - Data virtualization provides a number of additional techniques and algorithms include data source grouping, join algorithm selection, join ordering, union-join inversion, predicate pooling and propagation, and projection pruning.
  • Integrated Network and Database Optimization - Even in a Big Data world; network bandwidth is generally the scarcest resource in the query processing pipeline. So reducing the amount of data that needs to be transferred has a significant impact on the latency and overall performance.  Data virtualization optimizes the network and the query processing capabilities of underlying big data sources intelligently, in combination.

Value and Velocity are Big Data Integration Challenges #3 and #4
Big Data itself only has value when the data is analyzed.  This analysis provides value by uncovering drivers for growth, finding better ways to attract and retain customers, and identifying opportunities for innovation and costs reduction.

As such the fastest path to Big Data analysis is also the fastest path to business value.

But everyone knows that providing analytics with the data required has always been difficult, with data integration long considered the biggest bottleneck in any analytics project.

The Data Warehousing Institute confirms this lack of agility.  Their recent study stated the average time needed to add a new data source to an existing BI application was 8.4 weeks in 2009, 7.4 weeks in 2010, and 7.8 weeks in 2011. And 33% of the organizations needed more than 3 months to add a new data source.

Data Virtualization Provides Velocity along with Analytic Value
According to Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility, data virtualization significantly accelerates data integration agility. Key to this success is data virtualization's

  • Streamlined data integration approach
  • Iterative development process
  • Adaptable change management process

Using data virtualization as a complement to existing data integration approaches, the ten organizations profiled in the book cut analytics project times in half or more.

This agility allowed the same teams to double their number of analytics projects, significantly accelerating the business value delivered.  In other words, value with velocity!

Variety, Volume, Velocity and Value
Big Data is all the rage.  And at first glance, the Big Data variety, volume, velocity and value challenges may seem extraordinarily difficult.

Proven technologies, such as data virtualization, provide proven approaches to addressing these "big" challenges.

So if Big Data is on your agenda, don't forget to make a big commitment to data virtualization.  You'll be glad you did.

About Robert Eve
Robert Eve is the EVP of Marketing at Composite Software, the data virtualization gold standard and co-author of Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility. Bob's experience includes executive level roles at leading enterprise software companies such as Mercury Interactive, PeopleSoft, and Oracle. Bob holds a Masters of Science from the Massachusetts Institute of Technology and a Bachelor of Science from the University of California at Berkeley.

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2016 | 2015 | 2014 | 2013 | 2012
Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
@Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Flexential


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

Join Us as a Media Partner - Together We Can Enable the Digital Transformation!
SYS-CON Media has a flourishing Media Partner program in which mutually beneficial promotion and benefits are arranged between our own leading Enterprise IT portals and events and those of our partners.

If you would like to participate, please provide us with details of your website/s and event/s or your organization and please include basic audience demographics as well as relevant metrics such as ave. page views per month.

To get involved, email events@sys-con.com.

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