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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.


Data Virtualization at Northern Trust: A Case Study
New integration approach accelerates revenue

Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility is the first book published on the topic of data virtualization. Along with an overview of data virtualization and its advantages, it presents ten case studies of organizations that have adopted data virtualization to significantly improve business decision making, decrease time-to-solution and reduce costs. This article describes data virtualization adoption at one of the enterprises profiled, Northern Trust.

Organization Background
Northern Trust is a leading provider of innovative fiduciary, investment management, private banking, wealth management and worldwide trust and custody services. Clients include corporations, institutions, families and individuals in more than 40 countries.

Based in Chicago, Illinois, the company has over 13,000 employees. At the end of 2010, the company had assets under custody of $4.1 trillion, assets under management of $643.6 billion and banking assets of $83.8 billion. Annual revenues in 2010 were almost $3.7 billion.

For this case study, we interviewed Leonard J. Hardy, Senior Vice President, Operations and Technology. Hardy is a member of Northern Trust's Rapid Solutions group, which provides a solution architecture and consulting facility to other Northern Trust application development groups.

Hardy also manages the company's Integration Competency Center (ICC), which helps other application areas figure out the best way to integrate data. The ICC supports several tools for this, including data virtualization, ETL and data integration best practices. Hardy participated in this case study project in his ICC role.

The Business Problem
An important line of business for Northern Trust is providing outsourced investment management operations for corporate customers, typically investment management firms and banks.

These institutional customers continue to provide front-office investment management functions for their end clients, but outsource all or some of the middle-office and back-office functions to Northern Trust. By contracting these functions out to Northern Trust, the institution does not have to invest in the resources, assets and skills necessary to provide the functions internally. In return, Northern Trust provides guaranteed levels of quality, service, resilience and value-to-cost criteria and management.

The Northern Trust line of business responsible for investment management outsourcing is called Investment Operations Outsourcing (IOO).

The business problem for IOO was the fact that it had a large number of new institutional customers in the outsourcing pipeline and simply could not implement them fast enough.

As Hardy stated, "If we could get customers on board more quickly, we would realize several key benefits. First, revenue would increase. Second, we could go down the pipeline faster. We had customers already signed up for outsourcing who were waiting to be converted and we had to find a way to do that faster. That, in turn, would allow us to open up the pipeline and take advantage of huge new business opportunities in the marketplace."

The Technical Problem
Existing IOO client reporting capabilities had evolved within a traditional systems infrastructure and were both inefficient and inflexible, thereby extending the time it took to set up the end client reporting function for each customer.

For example, value-added client data was stored in multiple separate databases, including legacy, mainframe systems. In addition, some of the business logic to interpret the data structures and create reports was embedded in stored procedure code. The only way to access the data and interpret it correctly was to go through the stored procedures. There was no data warehouse or data mart that consolidated all this data and business logic for reporting purposes.

As a result, according to Hardy, "the old way of reporting required technology intervention for every single customer implementation. As you can imagine, each institution has its own formats, labels, graphics and fonts. A technology expert proficient in our development tools had to get involved and make changes to our reporting process for every customer. The time-to-market on that was very long. We needed the ability to bring on new customers without having to make technology changes for each one."

Two Options Evaluated
IOO considered two solution architectures to meet their business and technical challenges.

Physical Consolidation: One solution for IOO was to physically integrate the data using ETL and data warehousing technology. But that would require pulling all of the business logic out of the stored procedures and figuring out how to get all of the data into one database and have the structure make sense, a massive project that could take up to a year and a half.

Data Virtualization: Instead, IOO took a more innovative approach and decided to virtually integrate the data using the Composite Data Virtualization Platform as a virtual data warehouse. Placing Composite in the middle between the client reporting tool and the back-end data sources would enable IOO to quickly abstract the data into the data virtualization layer, reuse the existing business logic to access the data and generate all of the data needed for end client reporting. This approach required just seven months.

The Data Virtualization Solution - Architecture
Northern Trust's IOO data virtualization solution is a virtual data warehouse implemented with the Composite Data Virtualization Platform combined with a new client reporting front end. The major architecture components include:

Data sources - There are several physical data stores in the IOO environment.

  • Transaction data includes all of the detailed transactions for each end-client account: buys, sells, interest income, dividends, etc.
  • Valuation data includes, for each end-client account, how much it is worth today, how much it was worth yesterday, etc., based on the transaction data.
  • Enterprise asset data is a reference file that contains data about each asset in the client accounts, such as ticker symbol and investment category (equity, bond, money market, etc.). This data comes from a number of different third-party providers.
  • Performance data includes very complicated investment performance calculations that permit performance comparisons between accounts, such as one account against accounts of similar value or with similar investment strategies.
  • Transaction, valuation and enterprise asset data is stored in IBM DB2 and accessed via COBOL stored procedures.
  • Performance data is in Oracle and accessed via web services that call C code.

Data virtualization layer: The virtual data warehouse built using the Composite Data Virtualization Platform abstracts the data in the IOO data stores and creates a unified, virtual view that makes them appear as a single physical data store.

When the reporting platform issues a query to retrieve data from one or more data stores, Composite queries the data by calling the appropriate stored procedures and/or web services, combines the data (for example, associates all of the transactions that make up a valuation and the important performance data that applies to that valuation) and delivers it to the reporting platform.

Consuming applications: The primary consuming application is the client reporting platform. This is the toolset that IOO's internal business/operations partners now use to build, format and produce the reports for IOO's customers and their clients.

Another benefit of the reporting tool is that it supports a data dictionary and business views of the data that directly map to views within the data virtualization layer. These business views, or building blocks, conform the data into reusable components that the business analysts can use to create custom reports.

A key point here is that the solution has enabled IOO to transfer the time-consuming report customization work that previously had to be done for each new institutional customer by very high-priced and very busy technical resources (applications programmers) to IOO's operations partners (business analysts).

As Hardy summarized it, "We have been successful in our goal of taking the technology out of the outsourcing equation. As long as we supply the right data through Composite, the reporting tool handles all formatting, graphing and other functionality that we used to have to hard code within the application program. One reason we had such a big bottleneck in implementing outsourcing customers was the fact that we didn't have enough programmers in our application development group to handle the customization requirements. Business analysts in our operations group can now easily process the building blocks necessary to customize reports."

By combining the capabilities of data virtualization and the new reporting tool, IOO has been able to navigate through and abstract a very complex set of layers of translation to connect the raw IOO data structures to business metadata and finished customer reports.

The Data Virtualization Solution - Best Practices
Hardy offered some best practices and lessons learn based on his experience working with IOO.

Start with a focused project: Hardy stated that a focused initial effort is a key to success. "Don't start with a project to make all enterprise data available via a service." To date, IOO has completed four institutional customer implementations with over ten more in progress or planned.

Centralize support for data virtualization and development: Giving ICC responsibility for the data virtualization technology provided economies of scale and enabled the company to accelerate up the best practices learning curve in effectively implementing the technology in business solutions.

Understand the data: According to Hardy, data virtualization is no different than any other development or physical data integration tool. "The design and architecture of the solution is where you need to spend time. The old carpenter's adage of ‘measure twice and cut once' applies here. Don't just dive in and start coding views. Make sure you really understand the data. This is the key to success in an effort like this."

Educate and support the business: Hardy said it is also important to allocate time to consult with the business and make sure they understand the data. "In our case, they are the ones designing the reports but they don't necessarily have in-depth knowledge about the data in its raw form. So we need to help them understand the raw data and make sure that when the data gets to the end tool, people understand what they are looking at."

Manage business expectations: Although data virtualization is a capability that can get the job done faster, the organization still has to go through the same steps to implement the solution: analysis, design and architecture. "In our case, we could say it saved us a year and a half, but it did take seven months. So it will take time no matter how you do it."

Summary of Benefits
Hardy described the major benefits Northern Trust has achieved with the new IOO client reporting architecture based on data virtualization.

Faster time-to-market increases customer satisfaction and revenue: Data virtualization has dramatically reduced the time it takes to implement a new outsourcing customer by 50%. Moving customers through the pipeline faster improves overall customer satisfaction and gives IOO the capacity to bring in even more business and revenue.

Single point of access simplifies work and cut costs: The fact that the reporting tool, or any consuming application, has a single data access point regardless of the format, access method (SQL, web service, stored procedure, etc.) or data source  significantly reduces application complexity and development and maintenance time and cost.

Reuse benefits grow with adoption: The ability to create reusable data services that can be shared by all applications also reduces costs.

Long run flexibility is improved: Northern Trust is embarking on a three-year project to replace all of its underlying data stores with modern data warehouses and data marts. By putting data virtualization in the middle, thereby decoupling the back-end data from the consuming applications, IOO will not have to change anything that has been defined in the reporting tool when it swaps out the back-end data stores. It will only need to change the views to consume the new data sources.

•   •   •

Editor's Note: Robert Eve is the co-author, along with Judith R. Davis, of Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility, the first book published on the topic of data virtualization. The complete Northern case study, along with nine others enterprise are available in the book.

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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