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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.


Aster Data Introduces Advanced MapReduce Analytics on Column Store DBMS
New Aster Data nCluster 4.6 Extends the Power of SQL-MapReduce to Hybrid Row and Column DBMS Enabling Richer Analytic Applications

SAN CARLOS, CA -- (Marketwire) -- 09/15/10 -- Aster Data, a proven leader dedicated to providing the best data management and data processing platform for big data management and analytics, today announced Aster Data nCluster 4.6, which includes a column data store, making Aster Data nCluster 4.6 the first platform with a unified SQL-MapReduce analytic framework on a hybrid row and column massively parallel processing (MPP) database management system (DBMS). The unified SQL-MapReduce analytic framework and Aster Data's suite of 1000+ MapReduce-ready analytic functions, delivers a substantial breakthrough in richer, high performance analytics on large data volumes where data can be stored in either a row or column format.

With Aster Data nCluster 4.6, customers can choose the data format best suited to their needs and benefit from the power of Aster Data's SQL-MapReduce analytic capabilities, providing maximum query performance by leveraging row-only, column-only, or hybrid storage strategies. Aster Data makes selection of the appropriate storage strategy easy with the new Data Model Express tool that determines the optimal data model based on a customer's query workloads. Both row and column stores in Aster Data nCluster 4.6 benefit from platform-level services including Online Precision Scaling™ on commodity hardware, dynamic workload management, and always-on availability, all of which now operate on both row and column stores. All 1000+ MapReduce-ready analytic functions released previously through Aster Data Analytic Foundation -- a powerful suite of pre-built MapReduce analytic software building blocks -- now run on a hybrid row and column architecture. Aster Data nCluster 4.6 also includes new pre-built analytic functions, including decision trees and histograms. For custom analytic application development, the Aster Data IDE, Aster Data Developer Express, also fully and seamlessly supports the hybrid row and column store in Aster Data nCluster 4.6.

Aster Data's previous releases eased the development and management of sophisticated analytics for data exploration on massive data volumes, enabling richer and deeper business insights. Today's announcement of Aster Data nCluster 4.6 takes that one step further by allowing customers to leverage the power of Aster Data's data-analytics platform to manage multiple storage formats while providing a powerful platform for advanced analytics. The delivery of Aster Data nCluster 4.6 continues Aster Data's industry innovation and market leadership by integrating the power of MapReduce MPP analytics within a column store and being the first-ever tightly integrated SQL-MapReduce implementation for both column and row store.

"In optimizing the performance of the storage and retrieval of analytic data, column-store DBMS technology, built with a mixture of mature products, is gaining market share as an analytic engine," said Donald Feinberg, Vice President, Gartner. "In addition, new techniques for managing large amounts of data, such as MapReduce and noSQL DBMS, are beginning to gain interest. As organizations realize they need more holistic capabilities to manage data, tools with consolidated functionalities, optimized to meet specific data management needs, will help reduce technology silos and streamline a portfolio of data management capabilities deployable across the enterprise."*

Organizations faced with performance, scale, complexity, and cost limitations now have compelling reasons to evolve their analytic strategy with a solution that delivers rapid and rich analytics on large volumes of data, regardless of whether they require row or column store or a hybrid of both. Row stores have traditionally optimized more for ad hoc, interactive queries, while column stores are traditionally optimized for reporting-style queries. Now providing both a row store and a column store within Aster Data nCluster 4.6 and delivering a unified SQL-MapReduce framework across both stores, Aster Data delivers a solution across the complete continuum of interactive to reporting style queries. For example, a retailer using historical customer purchases to derive customer behavior indicators may often perform interactive queries against customer purchase data in a row store to analyze trends in individual customer orders over time. This ad hoc interactivity to identify patterns in the data is well-suited to the properties of a row store. Yet, this same retailer can see a 5-15x performance improvement from using a column store to provide access to the data for reporting-style queries like the behavioral indicators of customer purchase history, e.g. the number of purchases completed per brand or category of product. The Aster Data platform now supports both query types with natively optimized stores and a unified query framework. Aster Data led the way in bringing together the fundamental technology innovations required to make big data analytics possible and continues that innovation today by extending the power of MapReduce-style MPP analytics to column store within a tightly integrated SQL-MapReduce environment.

"We see a wide variety of different types of analytics in our business -- some optimized for row storage and others for column storage. Aster Data's nCluster 4.6 release provides the best of both worlds by introducing a single platform that covers the breadth along with the speed of response for our analytic needs and provides us the freedom to choose the storage format which will provide the best performance for our team of business analysts," said Will Duckworth, Vice President of Software Engineering, comScore. "From pre-packaged algorithms to MPP query optimization and now hybrid row and column, Aster Data's ability to innovate has helped us deliver better results to our customers."

Aster Data nCluster 4.6 feature highlights include:

Hybrid Row and Column Store:
New column-based storage option includes support for both standard SQL and SQL-MapReduce analytics in Aster Data nCluster 4.6. Choice of storage, implemented per-table partition, provides customers flexible performance optimization based on analytical workloads.

Enterprise-Grade Analytic Platform Services:
Aster Data nCluster 4.6 platform-level services are extended to the new column store. Services include: dynamic workload management, fault tolerance, Online Precision Scaling™ on commodity hardware, compression, indexing, automatic partitioning, SQL-MapReduce, SQL constructs, and cross-storage queries, among others. Online Precision Scaling™ provides on-demand, incremental scaling on commodity hardware of each functional server group for different workloads like queries, loads and back-up, significantly decreasing the cost and hassle of scaling the system to meet growing data volumes.

Data Model Express Tool:
New recommendation engine evaluates query workloads and automatically recommends which data store, row or column, would be optimal for the type of workloads provided. Database administrators can select to store data in a row store, column store, or in both types of stores as necessary for optimal performance of their organization's specific query loads.

Additional Packaged Analytic Functions:
In addition to the 1000+ MapReduce-ready analytic functions already available, Aster Data nCluster 4.6 provides several new statistical functions popular in decision analysis, operations research, and quality management including decision trees and histograms.

"Today's announcement further underscores that companies of all sizes who need richer analytics can easily experience the power of MapReduce and quickly build powerful analytic applications with 1000's of packaged analytic functions and the extensibility of the first-ever tightly integrated SQL-MapReduce implementation for both column- and row-store," said Tasso Argyros, CTO and co-founder, Aster Data. "Extending the MapReduce analytical capability to a column-store within our data-analytics server is the logical next step in our continued path of innovation to enable customers to get more value more quickly from their data which is too massive to be stored in their existing data warehouse architectures."

For more information on Aster Data, please visit http://www.asterdata.com/ or call 1.888.Aster.Data (US) or +1.650.232.4400 (INTL).

*Gartner Inc., "Hype Cycle for Data Management, 2010" by Eric Thoo, Ted Friedman, Donald Feinberg, Mark A. Beyer, July 22, 2010.

About Aster Data
Aster Data is a proven leader in big data management and big data analysis for data-driven applications. Aster Data's nCluster is the first MPP data warehouse architecture that allows applications to be fully embedded within the database engine to enable ultra-fast, deep analysis of massive data sets. Aster Data's unique "applications-within™" approach allows application logic to exist and execute with the data itself. Termed a "Data-Analytics Server," Aster Data's solution effectively utilizes Aster Data's patent-pending SQL-MapReduce together with parallelized data processing and applications to address the big data challenge. Companies using Aster Data include Coremetrics, MySpace, comScore, Akamai, Full Tilt Poker, and ShareThis. Aster Data is headquartered in San Carlos, California and is backed by Sequoia Capital, JAFCO Ventures, IVP, and Cambrian Ventures, as well as industry visionaries including David Cheriton and Ron Conway. For more information please visit http://www.asterdata.com, or call 1.888.Aster.Data.

Aster Data, Aster Data nCluster, SQL-MapReduce, the Aster logo, and Applications-Within™ are registered trademarks of Aster Data. All other brands and trademarks referenced herein are acknowledged to be trademarks or registered trademarks of their respective holders.

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Media Contact
Stacey Collins Burbach
Point Communications Group for Aster Data
602.279.1137
sburbach@pointcgroup.com

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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."
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How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
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@Flexential


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