Internet of Things (IoT) and Informix at IBM Insight 2014

By Dennis Duckworth, 

IBM Insight (TAFKA “Information on Demand” or IoD) is quickly approaching. In case you’ve missed all the recent announcements about things like Watson Analytics, there is a lot of cool new stuff going on at IBM and this year’s conference will offer some incredible learning opportunities and yes, even new insights, for attendees.

One of the products that I’ve recently been learning more about myself is Informix. I happen to be the current IBM representative on the International Informix User Group Board of Directors and, while my position in IBM Data Warehousing and Data Management has given me some visibility across all our DW/DM products, the IIUG and our Informix customers have demonstrated to me what a powerful and capable product Informix is and what tremendous business value it offers. It has also been experiencing something of a rediscovery recently because, as it turns out, some of the major strengths of Informix make it an ideal database for a rather hot new market called the “Internet of Things” (IoT).

As if Big Data wasn’t big enough with just the data that people are generating, it gets huger still with the data that non-people (like sensors) are generating. I recently installed a Dropcam at my summer house and I love tapping in and watching what is happening on the beach outside the house (or what happened last week – the high-def video stream gets stored in the cloud), no matter where I am in the world. I haven’t installed a smart thermostat yet or a smart refrigerator or any of the other smart devices that are working their way into our homes and our lives, but I can definitely see the appeal of the remote sensing and control. There are companies like Shaspa and Cisco and Intel that are betting on the rapid proliferation of smart devices by creating or enabling different pieces of the IoT fabric, like smart hubs – centralized command/control/communications for all the smart devices in the home…or in your car.

The IoT will be a hot topic at IBM Insight this year — there will be lots of opportunities for attendees to learn more about the IoT and to see how IBM products and technologies can help businesses and individuals benefit from the rising IoT tide. There will even be an IoT Hackathon going on for any conference attendees who want to take a crack at creating their own IoT application, with great prizes for the best submissions.

Obviously there will be some good breakout sessions focused on IoT and Informix as well and I will highlight just a few of them here. Unfortunately two of the sessions I want to attend myself are scheduled for the same time slot (Monday, 10/27, 10:15AM – 11:15am) so I guess I’ll have to flip a bitcoin:

  • In IWM-5982A (Banyan F), How IBM Informix Warehouse Improves Business across Industries, Vaibhav Dantale (IBM, Senior Software Engineer) and Kiran Challapalli (IBM, Informix CTE) will talk about the key benefits offered by the Informix Warehouse Accelerator (IWA), particularly in two rather interesting industries: commodity trading and medical diagnostics.
  • In IWM-6787A (South Seas J), In-Memory Query Acceleration for JSON and SQL Data, Fred Ho (IBM, Chief Technologist-Informix Warehouse) will combine several of the hottest topics in data warehousing/data management today: in-memory, MongoDB, and JSON and talk about how neat new technologies and features such as SIMD (Single Instruction, Multiple Data), vector processing and columnar architecture allow IBM to accelerate analytics for JSON documents using the MongoDB API. You can have your existing Mongo application run against an IBM Informix and experience the high performance benefit of these features, without rewriting any code.
  • And speaking of JSON, I must also put in a plug for the session of my fellow IIUG Director, Art Kagel (ASK Database Management, President). In IDI-4213A My Data is Relational But My Coders Want to Use JSON!  Help! Art takes on the challenge that CIOs and development managers face in this new world of mixed structured/unstructured/semi-structured data and suggests there is a better way of dealing with that than frequent (and often complex) ETL, or needing to limit new applications from accessing legacy data or complicating them by requiring them to tap into multiple data sources.  Art’s session is Wednesday, 10/29, 01:45 PM – 02:45 PM in Banyan F.

I hope you can make it out to Las Vegas October 26-30 for IBM Insight. I’ll be there staffing the PureData System pedestal so if you do make it, come say “Hi” and we can talk about IoT (or any other TLA).

About Dennis Duckworth

Dennis Duckworth, Program Director of Product Marketing for Data Management & Data Warehousing has been in the data game for quite a while, doing everything from Lisp programming in artificial intelligence to managing a sales territory for a database company. He has a passion for helping companies and people get real value out of cool technology. Dennis came to IBM through its acquisition of Netezza, where he was Director of Competitive and Market Intelligence. He holds a degree in Electrical Engineering from Stanford University but has spent most of his life on the East Coast. When not working, Dennis enjoys sailing off his backyard on Buzzards Bay and he is relentless in his pursuit of wine enlightenment. You can follow Dennis on Twiiter 


DB2 BLU in Action at Boots UK Limited

By Larry Heathcote,

Businesses cannot operate effectively today without good, timely and accurate insights into data. This is no more true, and important, than in the pharmaceutical industry. Clinical research, drug interactions, patient history and many other considerations are vitally important when the health and wellness of individuals is the goal. And for pharmaceutical businesses, providing the right mix of health, wellness and beauty products to their customer base is key to customer loyalty and long term success.

Boots UK Limited is a pharmacy-led health and beauty chain with approximately 2500 outlets in the United Kingdom and the Republic of Ireland. Healthcare in Boots is not just about dispensing prescriptions, but also about offering expert advice to all patients and customers, ensuring they get top quality patient care in a location that is convenient to them.

Accessing and analyzing data and providing fast insights to internal staff as well as external users is central to providing the kind of services and care that Boots is known for. Boots looked to IBM to help them improve on an already impressive data and analytics infrastructure. Their goal was to provide analytics, dashboards and reports to all pharmacists, care workers and staff to give them the information they need – faster and easier than ever before.

Boots awarded IBM the “Design and Build” project for a new self-service analytics platform. The solution consisted of IBM DB2 with BLU Acceleration software and IBM eServer xSeries hardware.

Session IWS-4217A “The First UK Client Implementation of IBM DB2 BLU” (Tuesday, October 28 from 10:00am – 11:00am, in the Data Warehousing in the Era of Big Data track), highlights how the solution was designed, built and implemented at Boots. The presentation will dive into the process and experiences in delivering the solution, as well as explore the user experience and performance gains of the new analytics platform. Attend this session at IBM Insights 2014 to learn more about how Boots achieved their goals of empowering individuals with speed-of-thought analytics and insights.

Session Details: 

  • Session Title : IWS-4217A: The First UK Client Implementation of IBM DB2 BLU
  • Track: Data Warehousing in the Era of Big Data
  • SubTrack: Data Warehouse Software and Appliances
  • Date and Time : Tue Oct 28 ( 10:00 a.m. – 11:00 a.m. )
  • Abstract: Boots UK Limited is a pharmacy chain in the United Kingdom, with outlets in most high streets throughout the country and in the Republic of Ireland. IBM Software Group Services won the “Design and Build” services project for a new self-service analytics platform. This platform will support the provision of analytical data by using train-of-thought analytics, dashboards and reports to internal staff and external users who are not employed by Boots. The platform is based on IBM eServer xSeries and IBM DB2 BLU. This presentation describes the DB2 BLU solution that was designed, built and implemented for Boots. It highlights some of the challenges associated with the delivery of this platform, especially around user performance.
  • IBM Insight Link to register :

About Larry Heathcote,

Larry Heathcote is a Program Director for IBM’s Data Management portfolio. Over a 20+ year history, Larry has held a number of positions in both startups and F500 companies, with the majority of his time focused on marketing strategy, planning and execution for information management software and systems. He holds an MSEE/CS from Northwestern University and an MBA from Duke University. He is an active evangelist for data management, data warehousing and business analytics, and is a frequent speaker at both IBM and third-party conferences. Larry brings a unique blend of business and technical aspects to his presentations, helping his audience learn why and how technical capabilities make a real difference in business performance. You can follow him on @larryheathcote.

The Not So Secret Cloud Club: How to Get Past the “Cloud Gap”

By Adam Ronthal,

The Not So Secret Cloud Club: How to Get Past the “Cloud Gap”

Three factors that hinder cloud adoption and how you can get past them to reap the benefits of analytics on the cloud

It’s no secret that organizations are using cloud to drive improved revenue growth and higher profit.[1]  And as an IBMer, it’s nice to see that it’s not only IBM that’s seeing this. A recent Aberdeen Group study showed some striking results comparing “best in class” organizations with their industry peers and found the following:

  • 4x faster BI deployment times
  • 50% more users actively engaged with analytics
  • More than 50% increase in users with self-service access to BI

The distinguishing factor for these “best in class” organizations was the use of cloud-based analytics at a 48% higher rate than their industry averages. Interestingly, Aberdeen confirms that these organizations had higher revenue growth and operating profit with lower operating costs for those using cloud options.

So the word is out… cloud makes sense on many levels. We’re all dealing with an increased volume of data, compressed decision time frames, and a greater urgency to get answers and insight. In short, we are being asked to be more agile, so why not adopt a platform designed for ultimate agility?

But despite all of these positive indicators, many organizations are still finding it difficult to make the jump to cloud. For predictive analytics needs, TDWI recently reported that public cloud based infrastructure lags in adoption compared to more  traditional technologies. I call this “The Cloud Gap”. The good news is that it can be addressed!

Adam Blog V1

Source: Predictive Analytics for Business Advantage, TDWI Best Practices Report, First Quarter 2014

The factors that hinder cloud adoption fall into three key areas:

  • Security Concerns
  • Need to support hybrid architectures
  • Data Ingest Difficulties

The first, security concerns require that organizations not only understand what data they are looking to move to cloud, but also choose a reliable trustworthy cloud vendor with deep understanding of security issues. In some cases, it doesn’t make sense to move sensitive data to the cloud; that data can remain on-premises.  For the data that we do move to the cloud, we still want to ensure a secure cloud infrastructure and a secure cloud application design. IBM provides just that with certified SoftLayer data centers and the expertise to develop and deploy cloud-based applications and infrastructure.

Second, most organizations are not moving everything to the cloud. Instead, they are using a hybrid “ground to cloud” approach. This means that the same applications and tools used for on-premises systems should also work with cloud systems. Here again, IBM provides just such tooling with our deep analytics and big data portfolio and fully flexible deployment options. Think of the possibilities when you have portable analytics algorithms that can run both on-premises or in the cloud!

Finally, understanding data ingest requirements and making it easy to ingest data from a variety of sources is critical. IBM brings deep expertise in this area and has brought it to its cloud-based data integration solutions. Or, you can connect the same familiar ETL tools you are already using on-premises to cloud environments.

So why wait? Join the cloud club, and modernize your existing data warehousing architecture. You can start with IBM, and grow up with IBM both on-premises and in the cloud, or wherever your analytic needs take you.

And this club doesn’t have a snooty dress code, secret handshake, or exorbitant initiation fees.  Everyone is welcome!

Let’s connect at IBM Insight in Las Vegas, October 26-30.  There are three sessions I would call out for you to learn more about adopting analytics in the cloud.  I am presenting one of them but will be at all three of them.

  • FTC-4285 – Data Warehousing and Analytics in the Cloud: IBM’s New Data Warehousing Service – Adam Ronthal, Tue Oct 28 (3:00 p.m. – 4:00 p.m.)
  • IWM-4637 – Advanced Warehouse Analytics in the Cloud – Torsten Steinbach Mon Oct 27 (3:30 p.m. – 4:30 p.m.)
  • IDB-6062 – Data Warehousing in the Cloud – a practical deployment guide – Hania El Ayoubi and Michael Kwok, Wed Oct 29 (10:00 a.m. – 11:00 a.m.)

Next steps:

Download the Aberdeen White Paper and see the benefits of cloud adoption!

About Adam,

Adam Ronthal has worked in the technology industry for 20 years in technical operations, system administration, and data warehousing and analytics. In 2006, Adam joined Netezza as a Technical Account Manager, working with some of IBM Netezza’s largest data warehousing and analytic customers and helping them architect and implement their Netezza-based solutions. Today, Adam works in technical marketing for the IBM’s big data, cloud, and appliance offerings. Adam is an IBM Certified Specialist for Netezza, and holds a BA from Yale University.


What our customers love about our in-memory database technology (And you will too!)

By Rahul Agarwal,

A disruptive technology

Adam Ronthal talks about disruptive technology that has changed the data warehousing and analytic landscape in his blog here.  I would add ‘in-memory’ database technology to this list because it has the potential to “change the way we think about doing things — either because they represent a shift in efficiency, a shift in economics, or ideally, both.”

By relying on main memory for storage of ‘active data sets’, in-memory technology eliminates the latency of moving data across slow-spinning disk storage. Organizations can access to vital information faster than ever before, opening up new possibilities for them to gain advantage over their competition.

In-memory database technology – IBM’s take

BLU Acceleration is IBM’s take on what in-memory database technology should look like. It takes the basic concept of an in-memory database a step further with the inclusion of eight features like in-chip computing, data skipping, analyzing compressed data and more, that make it faster, simpler and more agile. More details about these features can be found in Amit Patel’s blog.

What is the experience of our customers in using BLU Acceleration technology?

The best part about our BLU Acceleration technology is that customers have validated our claims of performance gains, improved compression and reduced time to value.

For example, at University of Toronto, BLU is delivering on its promises; the queries are performing well and great compression results were observed. The experience of Coca cola Bottling Company is similar where BLU Acceleration has helped in speeding the decision making process.

Want to know more?

If you want to know more about the experience of these two customers, you can attend the following sessions at the IBM Insight 2014 conference.

IWS-5729A: IBM BLU Acceleration: Adoption Guidelines and Lessons Learned at Coca-Cola Bottling Company

In this session, you will see Coca Cola Bottling Company’s experience with DB2 BLU, from installation to performance tests. You will also see how DB2 BLU fits into their SAP BW environment.

IWS-5338B: Why the University of Toronto Loves BLU: Faster, Smaller, and Simpler in Only a Few Hours

This session will take you through the adoption cycle of IBM BLU Acceleration at the University of Toronto and the amazing results.

About Rahul Agarwal

Rahul Agarwal is a member of the worldwide product marketing team at IBM that focuses on data warehouse and database technology. Rahul has held a variety of business management, product marketing, and other roles in other companies including HCL Technologies and HP before joining IBM.  Rahul studied at the Indian Institute of Management, Kozhikode and holds a bachelor of engineering (electronics) degree from the University of Pune, India. Rahul’s Twitter handle :  @rahulag80

Is your data warehouse ready to dance?

By Wendy Lucas,

Ag•ile (adjective) pronunciation ˈa-jəl – able to move quickly and easily: quick, smart, and clever1

When I hear the word agile, I think of dancers. Whether it’s a graceful ballet dancer or a fast and nimble hip-hop dancer, dancers are very agile. The thing that would not immediately come to mind would be a data warehouse. Perhaps that’s because I was a BI Consultant 16 years ago advising clients how to build data warehouses and BI applications. There were long cycles of requirements analysis, enterprise modeling, analytic application development, configuration of hardware and software, extensive tuning, administration and a little duct tape. Then, when you got all that done, you iterate and start over because business requirements likely changed during the time it took to do all that.

While those long development cycles made for lots of long-term consulting engagements, they did not lend themselves to responding quickly and easily to business requirements. In short, they were very far from agile.

Along the way, data warehouses became even more mission critical. The amount of data in the world began to explode and insight from that data drove competitive advantage. The drive for competitive advantage drove the need for organizations to adapt. They needed more adaptable methodologies, more flexible architectures, faster to implement technologies, and solutions that were more simple to manage allowing system administrators, DBA’s and developers the chance to spend more time on value–add activity and less time cabling servers together and turning knobs.

In today’s world, agile BI is no longer a foreign concept, it’s a goal some have achieved and others aspire to attain.  The TDWI World Conference in San Diego, September 21-26, 2014 is a conference dedicated to the theme of “Managing Agile BI for the Enterprise.” There are various courses related to agile analytics, data warehouse automation, agile project management, agile architectures and many more. There will also be the chance to learn about technology that enables agile BI such as IBM’s new DB2 Cancun Release.

IBM’s new DB2 Cancun Release takes DB2 with BLU Acceleration, the next generation of in-memory computing, and adds even more features to help organizations become more agile. The ability to take advantage of BLU Acceleration directly in the transaction processing system for “in the moment” reporting is accomplished via BLU shadow tables. Shadow Tables, powered by BLU Acceleration, automatically maintain column-based versions of the row-based operational data in the transaction-processing environment. The database seamlessly routes analytics queries to those shadow tables for reporting directly on the transactional data. Based on internal testing of a sample transactional and analytic workload, performance of analytical queries can improve by 10x or more and your transactional performance may benefit from the removal of secondary analytic indexes. How much more agile could your environment be if you were able to do analytic queries in your transactional system?

The DB2 Cancun Release has Oracle SQL compatibility for low risk migration from Oracle to BLU Acceleration. Other enhancements include even more comprehensive support for SAP Business Warehouse, allowing SAP clients to maintain investments in their existing environments and skills while adopting BLU in-memory database technology. The combination of these features along with “load and go” simplicity, no need for indexes, aggregates or tuning, and flexibility to deploy on premises or in the cloud enables DB2 with BLU Acceleration to provide the database foundation for your agile data warehouse.

Is your data warehouse ready to dance? If not, read more at and join us at TDWI.  IBM Data Warehouse solutions will featured at booth #201 and in a case study at 1:00 on Wednesday in room 313, “New Get Answers You Need in the Moment: Adopting in-memory technology without disruption.”

Register for TDWI and I look forward to seeing you there.

About Wendy Lucas

Wendy Lucas is a Program Director for IBM Data Warehouse Marketing. Wendy has over 20 years of experience in data warehousing and business intelligence solutions, including 12 years at IBM. She has helped clients in a variety of roles, including application development, management consulting, project management, technical sales management and marketing. Wendy holds a Bachelor of Science in Computer Science from Capital University and you can follow her on Twitter at @wlucas001


Hybrid nature of the IBM DB2 Analytics Accelerator (IDAA) : IBM Insight Session Preview

By Rich Hughes,

“Too good to be true” and “You can’t have it both ways” are proverbs commonly heard in regular life situations.  Both are idioms and refer to the altruism that entities cannot change beyond their basic nature.  Another proverb applicable to many life events is  “Having the best of both worlds”—a seemingly impossible situation where two contradictory forces form a combination better and stronger than the two separate parts.

You might think you are “Playing with the house’s money” after several days in Las Vegas and attending Insights 2014, but there are some intriguing sessions on both Wednesday and Thursday.  And “Having the best of both worlds” can be realized at the 2014 Insight Conference with not one, but two sessions in the Data Warehousing in the Era of Big Data track.  These sessions focus specifically on the compelling, hybrid nature of the IBM DB2 Analytics Accelerator (IDAA).

Session IWS-6653A starts on Wednesday at 4:30 p.m.  and the featured format is an ad hoc classroom setting.  The session agenda will be determined by audience questions regarding IDAA.  James Guo will facilitate the Q&A format, and based on his many years of DB2 and SQL performance tuning, attendees will  quickly have their IDAA queries answered.  Guo will be prepared to discuss best practices for implementing IBM DB2 Analytics Accelerator—so come prepared with your IDAA questions.

Session IWS-4681A  opens at  11:15 a.m. on Thursday, and odds are in your favor for expanding your IDAA knowledge base.  Presenters will be Annette Zawacki, zEnterprise Analytics Director, and Namik Hrle, an IBM Fellow specializing in the IBM DB2 Analytics Accelerator.  Hrle will provide insights into the development and direction of IDAA, as it combines DB2’s unique transactional processing capabilities with the PureData System for Analytics proven ability to successfully manage complex analytic workloads.  Many clients have benefitted from choosing the IBM DB2 Analytics Accelerator, and the use cases for attaining great business value are central to this session’s story line.

You will not need Lady Luck on your side if you attend these two sessions, as they are a sure thing for being dynamic and user friendly.   These IDAA sessions will be a good way to wrap up your Insights Conference.  Experts will provide a complete view of IBM’s DB2 Analytics Accelerator capabilities, and answer any questions you may have on this hybrid technology that does combine the best of both data warehousing worlds.  IDAA fulfils both transactional processing and advanced analytics performance requirements, all in one package.

Specific details of the Insight sessions :

Session #1 Title :  Expert Exchange: DB2 Analytics Accelerator Refresh Performance and Best Practices

  1. Session ID :  IWS-6653A   Wednesday October 29 ( 4:30 p.m. – 5:45 p.m. )
  2. Abstract :   Get the answers you need in a dynamic, small-classroom environment driven by your questions and comments.
  3. Speaker Information : James Guo, IBM

Session #2 Title : IBM DB2 Analytics Accelerator: Trends and Directions

  1. Session ID : IWS-4681A   Thursday Oct 30 ( 11:15 a.m. – 12:15 p.m. )
  2. Abstract :  IBM DB2 Analytics Accelerator is one of the most exciting technologies implemented by IBM DB2 for z/OS and IBM System z in years. It has been widely adopted by numerous clients who enjoy its unprecedented business value. It features a unique combination of DB2’s superb transactional capabilities and the industry-leading performance of complex queries by the IBM PureData for Analytics appliance. Together, these features can enable combining transactional and analytical applications and optimizing use of System z processing resources. In this session, learn about the latest news from the DB2 Analytics Accelerator development team and hear about the trends and directions for developing this technology.
  3. Speaker Information : Namik Hrle, IBM  and  Annette Zawacki, IBM

IBM Insight Link to register :

About Rich hughes,

Rich Hughes is an IBM Marketing Program Manager for Data Warehousing.  Hughes has worked in a variety of Information Technology, Data Warehousing, and Big Data jobs, and has been with IBM since 2004.  Hughes earned a Bachelor’s degree from Kansas University, and a Master’s degree in Computer Science from Kansas State University.  Writing about the original Dream Team, Hughes authored a book on the 1936 US Olympic basketball team, a squad composed of oil refinery laborers and film industry stage hands.

The Little Data Warehouse That Could

By Dennis Duckworth,

What goes through your head when you hear the word “warehouse”? No, not a data warehouse (not yet, anyway), the physical building. The term “warehouse” can conjure up some negative feelings — I myself picture some huge structure that is dark, old, dusty, maybe a bit run down and overall just creepy (maybe I watched too much Scooby Doo as a kid). And certainly not the most effective/efficient of storage places. Do you remember the closing scene in “Raiders of the Lost Ark” when the Ark of the Covenant is unceremoniously crated up and pushed down the aisle of a huge government warehouse? (If not, you can watch it here: As the camera pans out and we see how immense the warehouse really is and how many other crates there are, does anyone think “Wow, they’ll be able to derive great value from it in there”? Nope, we think “Lost forever.”

So now think of a “data warehouse”. For some people, some of the same images come to mind – an old rigid (inflexible) place where data gets stored but is difficult if not impossible to get to or to use. But that has been changing as business users insist on better for their valuable data.

The launch of IBM’s Point of View (POV) on Data Warehousing (announced here by Wendy Lucas: IBM Data Warehousing – a Point of View on Modernizing your Data Warehouse Environment) gave us the idea of creating an infographic to capture graphically some of our thinking in this area.

The process was, well, entertaining. One of the first graphical representations presented by our creative team was – a warehouse. Really – that’s cogitating completely within the confines of the parallelepiped.

But that turned out to be a critical piece in our new vision of data warehousing.

The modern data warehouse has become a much more flexible and “active” place with new kinds of data being stored and lots of cool and useful stuff going on inside of them, like in-database analytics. These are modernized data warehouses, not the traditional rigid, inflexible data warehouse of yesteryear. As a metaphor in the physical world, we didn’t think of a dark old government warehouse, but rather something more like a state-of-the-art Amazon warehouse with all of those cute little Kiva robots rolling around (

The modern data warehouse is a place of activity and action that can directly generate business value.

Ultimately we landed on the concept of an engine. If data is a new natural resource, like oil, then the modernized data warehouse has become more of an engine, running on data.  The work that the data warehouse is doing is sometimes refining the data (maybe doing ELT) or making the data even more refined (in-database analytics), turning that data into information and insight. That information can be used by organizations to improve themselves in some way, whether that is a retailer targeting its market spend more accurately or a manufacturer improving equipment operational efficiencies or a healthcare provider diagnosing disease more quickly or a financial institution discovering and countering fraud in near real-time.

We also came away with a tagline that represents to us the benefit of the modern data warehouse and represents the direction we think data warehousing is heading: “IBM Data Warehousing – the engine for making data smarter, faster.” No longer are data warehouses stagnant places where data goes to die but a place where it is acted upon and used.

You can see the results of our work, the full infographic here.

If you are thinking about renovating your stagnant dreary (perhaps even haunted) data warehouse, be sure to consult IBM’s data warehouse POV and read about our data warehousing products to see how we are helping customers make their data warehouses into engines that can help make data smarter, faster.

About Dennis Duckworth

Dennis Duckworth, Program Director of Product Marketing for Data Management & Data Warehousing has been in the data game for quite a while, doing everything from Lisp programming in artificial intelligence to managing a sales territory for a database company. He has a passion for helping companies and people get real value out of cool technology. Dennis came to IBM through its acquisition of Netezza, where he was Director of Competitive and Market Intelligence. He holds a degree in Electrical Engineering from Stanford University but has spent most of his life on the East Coast. When not working, Dennis enjoys sailing off his backyard on Buzzards Bay and he is relentless in his pursuit of wine enlightenment. View all posts by Dennis Duckworth. You can follow Dennis on Twiiter