Java IoT Authors: Tim Hinds, Elizabeth White, Yeshim Deniz, Liz McMillan, Pat Romanski

Related Topics: @DXWorldExpo, Java IoT, @CloudExpo

@DXWorldExpo: Blog Post

Big Data and Visualization Give Enterprises New Views By @Dana_Gardner | @BigDataExpo #BigData

How Tableau Software and Big Data come together: strong visualization embedded on an agile analytics engine

Big Data and Visualization Give Enterprises New Views into Their Business

The next BriefingsDirect big data innovation discussion highlights how Tableau Software and big data analytics platforms come together to provide visualization benefits for those seeking more than just crunched numbers. They're looking for ways to improve their businesses effectively and productively, and to share the analysis quickly and broadly.

To learn more, BriefingsDirect sat down with Paul Lilford, Global Director of Technology Partners for Tableau Software, based in Seattle, and Steve Murfitt, Director of Technical Alliances at HP Vertica. The discussion is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions.

Here are some excerpts:

Gardner: Why is the tag-team between Tableau and big data so popular. Every time I speak with some one using Vertica, they inevitably mention that they're delivering their visualizations through Tableau. This seems to be a strong match.

Lilford: We’re a great match primarily because Tableau’s mission is to help people see and understand data. We're made more powerful by getting to large data, and Vertica is one of the best at storing that. Their columnar format is a natural format for end users, because they don’t think about writing SQL and things like that. So, Tableau, as a face to Vertica, empowers business users to self serve and deliver on a depth of analytics that is unmatched in the market.


Gardner: Now, we can add visualization to a batch report just as well as a real-time. streamed report. What is it about visualization that seems to be more popular in the higher-density data and a real-time analysis environment?

Lilford: The big thing there, Dana, is that batch visualization will always common. What’s a bigger deal is data discovery, the new reality for companies. It leads to becoming data driven in your organization, and making better-informed decisions, rather than taking a packaged report and trying to make a decision that maybe tells you how bad you were in the past or how good you might think you could be in the future. Now, you can actually have a conversation with your data and cycle back and forth between insights and decisions.

The combination of our two technologies allows users to do that in a seamless drag-and-drop environment. From a technical perspective, the more data you have, the deeper you can go. We’re not limiting a user to any kind of threshold. We're not saying, this is the way I wrote the report, therefore you can go consume it.

We’re saying, "Here is a whole bunch of data that may be a subject area or grouping of subject areas, and you're the finance professional or the HR professional. Go consume it and ask the questions you need answered." You're not going to an IT professional to say, "Write me this report and come back three months from now and give it to me." You’re having that conversation in real time in person, and that interactive nature of it is really the game changer.

Win-win situation

Gardner: And the ability for the big data analysis to be extended across as many consumer types in the organization as possible makes the underlying platform more valuable. So this, from HP's perspective must be a win-win. Steve?

Murfitt: It definitely is a win-win. When you have a fantastic database that performs really well, it's kind of uninteresting to show people just tables and columns. If you can have a product like Tableau and you can show how people can interact with that data, deliver on the promise of the tools, and try to do discovery, then you’re going to see the value of the platform.


Gardner: Let’s look to the future. We've recently heard about some new and interesting trends for increased volume of data with the Internet of Things, mobile, apps being more iterative and smaller, therefore, more data points.

As the complexity kicks in and the scale ramps up, what do you expect, Paul, for visualization technology and the interactivity that you mentioned? What do you think we're approaching? What are some of the newer aspects of visualization that makes this powerful, even as we seek to find more complexity?

Lilford: There are a couple of things. Hadoop, if you go back a year-and-a-half or so, has been moving from a cold-storage technology to more to a discovery layer. Some of the trends in visualization are predictive content being part of the everyday life.

Tableau democratizes business intelligence (BI) for the business user. We made it an everyday thing for the business user to do that. Predictive is in a place that's similar to where BI was a couple years ago, going to the data scientist to do it. Not that the data scientist's value wasn’t there, but it was becoming a bottleneck to doing things because you have to run it through a predictive model to give it to someone. I think that's changing.

So I think that predictive element is more and more part of the continuum here. You're going to see more forward-looking, more forecast-based, more regression-based, more statistical things brought into it. We’ll continue to innovate with some new visuals, but the standard visual is unstructured data.

This is the other big key, because 80 percent of the world's data is unstructured. How do you consume that content? Do you still structure it or can you consume it where it sits, as it sits, where it came in and how it is? Are there discoverers that can go do that?

You’re going to continue see those go. The biggest green fields in big data are predictive and unstructured. Having the right stores like Vertica to scale that is important, but also allowing anyone to do it is the other important part, because if you give it to a few technical professionals, you really restrict your ability to make decisions quickly.

Gardner: Another interesting aspect, when I speak to companies, is the way that they're looking at their company more as an analytics and data provider internally and externally. The United States Postal Service  view themselves in that fashion as an analytics entity, but also looking for business models, how to take data and analysis of data that they might be privy to and make that available as a new source of revenue.

I would think that visualization is something that you want to provide to a consumer of that data, whether they are internal or external. So we're all seeing the advent of data as a business for companies that may not have even consider that, but could.

Most important asset

Lilford: From our perspective, it's a given that it is a service. Data is the most important asset that most companies have. It’s where the value is. Becoming data driven isn’t just a tagline that we talk about or people talk about. If you want to make decisions and decisions that move your business, so being a data provider.

The best example I can maybe give you, Dana, is healthcare. I came from healthcare and when I started, there was a rule -- no social. You can't touch it. Now, you look at healthcare and nurses are tweeting with patients, "Don’t eat that sandwich. Don't do this."

Data has become a way to lower medical costs in healthcare, which is the biggest expense. How do you do that? They use social and digital data to do that now, whereas five, seven years ago, we couldn't do it. It was a privacy thing. Now, it's a given part of government, of healthcare, of banking, of almost every vertical. How do I take this valuable asset I’ve got and turn it into some sort of product, market, or market advantage, whatever that is?

Gardner: Steve, anything more to offer on the advent or acceleration of the data-as-a-business phenomena?

Murfitt: If you look at what companies have been doing for such a long time, they have been using the tools to look at historical data to measure how they're doing against budget. As people start to make more data available, what they really want to do is compare themselves to their peers.

As people start to make more data available, what they really want to do is compare themselves to their peers.

If you're doing well against your budget, it doesn't mean to say you gaining or losing market share or how well you’re doing. So as more data is shared and more data is available, being able to compare to peers, to averages, to measure yourself not only internally, but externally, is going to help with people making their decisions.

Gardner: Now for those organizations out there that have been doing reports in a more of a traditional way that recognize the value of their data and the subsequent analysis, but are yet to dabble deeply into visualization, what are some good rules of the road for beginning a journey towards visualization?

What might you consider in terms of how you set up your warehouse or you set up your analysis engine, and then make tools available to your constituencies? What are some good beginning concepts to consider?

Murfitt: One of the most important things is start small, prove it, and scale it from there. The days of boiling the ocean to try come up with analytics only to find out it didn’t work are over.

Organizations want to prove it, and one of the cool things about doing that visually is now the person who knows the data the best can show you what they're trying to do, rather than trying to push a requirement out to someone and ask "What is it you want?" Inevitably, something’s lost in translation when that happens or the requirement changes by the time it's delivered.

Real-time conversation

You now have a real-time, interactive, iterative conversation with both the data and business users. If you’re a technical professional, you can now focus on the infrastructure that supports the user, the governance, and security around it. You're not focused on the report object anymore. And that report object is expensive.

It doesn’t mean that for compliance things the financial reports go away, it means you've right sized that work effort. Now, the people who know the data the best deliver the data, and the people who support the infrastructure the best support that infrastructure and that delivery.

It’s a shift. Technologies today do scale Vertica as a great scalable database. Tableau is a great self-service tool. The combination of the two allows you to do this now. If you go back even seven years, it was a difficult thing. I built my career being a data warehouse BI guy. I was the guy writing reports and building databases for people, and it doesn’t scale. At some point, you’re a bottleneck for the people who need to do their job. I think that's the biggest single thing in it.

Gardner: Another big trend these days is people becoming more used to doing things from a mobile device. Maybe it’s a “phablet,” a tablet, or a smartphone. It’s hard to look at a spreadsheet on those things more than one or two cells at a time. So visualizations and exercising your analytics through a mobile tier seem to go hand in hand. What should we expect there? Isn't there a very natural affinity between mobile and analysis visualization?

Most visuals work better on a tablet. Right-sizing that for the phone is going to continue to happen.

Lilford: We have mobile apps today, but I think you're going to see a fast evolution in this. Most visuals work better on a tablet. Right-sizing that for the phone is going to continue to happen, scaling that with the right architecture behind it, because devices are limited in what they can hold themselves.

I think you'll see a portability element come to it, but at the same time, this is early days. Machines are generating data, and we're consuming it at a rate at which it's almost impossible to consume. Those devices themselves are going to be the game changer.

My kids use iPads, they know how to do it. There’s a whole new workforce in the making that knows this and things like this. Devices are just going to get better at supporting it. We're in the very early phases of it. I think we have a strong offering today, and it's only going to get stronger in the future.

Gardner: Steve, any thoughts about the interception between Vertica, big data, and the mobile visualization aspect of that?

Murfitt: The important thing is having the platform that can provide the performance. When you're on a mobile device, you still want the instant access, and you want it to be real-time access. This is the way the market is going. If you go with the old, more traditional platforms that can’t perform when you're in the office, they're not going to perform when you are remote.

It’s really about building the infrastructure, having the right technology to be able to deliver that performance and that response and interactivity to the device wherever they are.


Working together

Gardner: Before we close, I just wanted to delve a little bit more into the details of how HP Vertica and Tableau software work. Is this an OEM, a partnership, co-selling, co-marketing? How do you define it for those folks out there who either use one or the other or neither of you? How should they progress to making the best of a Vertica and Tableau together?

Lilford: We're a technology partnership. It’s a co-selling relationship, and we do that by design. We're a best-in-breed technology. We do what we do better than anyone else. Vertica is one of the best databases and they do what they do better than anyone else. So the combination of the two, providing customers options to solve problems, the whole reason we partner is to solve customer issues.

We want to do it as best-in-breed. That’s a lot what the new stack technologies are about, it’s no longer a single vendor building a huge solution stack. It's the best database, with the best Hadoop storage, with the best visualization, with the best BI tools on top of it. That's where you're getting a better total cost of ownership (TCO) over all, because now you're not invested in one player that can deliver this. You're invested in the best of what they do and you're delivering in real-time for people.

It's the best database, with the best Hadoop storage, with the best visualization, with the best BI tools on top of it.

Gardner: Last question, Steve, about the degree of integration here. Is this something that end user organizations can do themselves, are there professional services organizations, what degree of integration between Vertica and Tableau visualization is customary.

Murfitt: Tableau connects very easily to Vertica. There is a dropdown on the database connector saying, "Connect to Vertica.” As long as they have the driver installed, it works. And the way their interface works, they can start query and getting value from the data straight away.

You may also be interested in:

More Stories By Dana Gardner

At Interarbor Solutions, we create the analysis and in-depth podcasts on enterprise software and cloud trends that help fuel the social media revolution. As a veteran IT analyst, Dana Gardner moderates discussions and interviews get to the meat of the hottest technology topics. We define and forecast the business productivity effects of enterprise infrastructure, SOA and cloud advances. Our social media vehicles become conversational platforms, powerfully distributed via the BriefingsDirect Network of online media partners like ZDNet and IT-Director.com. As founder and principal analyst at Interarbor Solutions, Dana Gardner created BriefingsDirect to give online readers and listeners in-depth and direct access to the brightest thought leaders on IT. Our twice-monthly BriefingsDirect Analyst Insights Edition podcasts examine the latest IT news with a panel of analysts and guests. Our sponsored discussions provide a unique, deep-dive focus on specific industry problems and the latest solutions. This podcast equivalent of an analyst briefing session -- made available as a podcast/transcript/blog to any interested viewer and search engine seeker -- breaks the mold on closed knowledge. These informational podcasts jump-start conversational evangelism, drive traffic to lead generation campaigns, and produce strong SEO returns. Interarbor Solutions provides fresh and creative thinking on IT, SOA, cloud and social media strategies based on the power of thoughtful content, made freely and easily available to proactive seekers of insights and information. As a result, marketers and branding professionals can communicate inexpensively with self-qualifiying readers/listeners in discreet market segments. BriefingsDirect podcasts hosted by Dana Gardner: Full turnkey planning, moderatiing, producing, hosting, and distribution via blogs and IT media partners of essential IT knowledge and understanding.

@ThingsExpo Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In his session at @ThingsExpo, Gordon Haff, Red Hat Technology Evangelist, shared examples from a wide range of industries – including en...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Rodrigo Coutinho is part of OutSystems' founders' team and currently the Head of Product Design. He provides a cross-functional role where he supports Product Management in defining the positioning and direction of the Agile Platform, while at the same time promoting model-based development and new techniques to deliver applications in the cloud.
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
delaPlex is a global technology and software development solutions and consulting provider, deeply committed to helping companies drive growth, revenue and marketplace value. Since 2008, delaPlex's objective has been to be a trusted advisor to its clients. By redefining the outsourcing industry's business model, the innovative delaPlex Agile Business Framework brings an unmatched alliance of industry experts, across industries and functional skillsets, to clients anywhere around the world.
Headquartered in Plainsboro, NJ, Synametrics Technologies has provided IT professionals and computer systems developers since 1997. Based on the success of their initial product offerings (WinSQL and DeltaCopy), the company continues to create and hone innovative products that help its customers get more from their computer applications, databases and infrastructure. To date, over one million users around the world have chosen Synametrics solutions to help power their accelerated business or per...
DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
DXWorldEXPO | CloudEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
DXWorldEXPO LLC announced today that "Miami Blockchain Event by FinTechEXPO" has announced that its Call for Papers is now open. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expe...
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of bus...