I recently visited my dentist and found the experience, well, less than satisfactory. I was subjected to 45 minutes of lecturing while strapped into the dentist chair:

“You don’t brush enough times a day. You don’t brush long enough. You don’t brush correctly. You aren’t using the right type of toothbrush. You aren’t replacing the brush head soon enough. You aren’t flossing enough. You aren’t flossing correctly. You aren’t using the right type of floss.”

Good lord! It’s any wonder that my teeth aren’t just falling out of my head!!

No one likes being lectured. It’s not constructive and after a while, you just turn it off.  That’s probably similar to the feeling of going to these Big Data conferences – constantly being told what you aren’t doing right. And maybe I’m guilty of doing that as well. If I am, then I’m sorry because from an audience perspective, it sucks.

So the purpose of this blog is to highlight what organizations are doing right (and I’ll save my criticism until my next conference presentation). Here’s what I’m seeing organizations get right with respect to Big Data and Data Science:

• Organizations, and especially management teams, are getting comfortable with scale out, natively parallel, open source-based technologies. Organizations are moving away from rigid monolithic applications (e.g., ERP, CRM, SCM, HRM) to an operating model comprised of special-purpose applications. It’s like being a carpenter who only had a hammer and screwdriver their whole lives. Suddenly they have saws and tape measures and wrenches and planes and more. And if they find that they need another tool, they can even build it themselves. Unfortunately, this bounty of options has made the CIO’s life much harder. A CIO can no longer just buy a monolithic application from a single vendor and then get comfortable being held captive to that vendor’s ever-increasing maintenance pricing and ever-lengthening release cycles. CIO’s must trade the perceived security of the “one throat to choke” lie for the agility and scalability of assembling their own application environment. It may be a lot more work for the CIO, but the technology agility and business value that will be released is truly game changing (see Figure 1).

Figure 1:  Data Lake Reference Architecture

• Organizations, especially Chief Financial Officers, are getting comfortable with open source business models. I suppose that we can thank Linux and Red Hat for introducing the open source business model to the corporate world, but many developers embraced the open source phenomena many years prior when using the Free Software Foundation’s GNU development tools (e.g., gcc, g++, gdb, cvs).  Now large commercial organizations such as Google, Facebook, Pivotal, Dell, and IBM as well as many universities are adding new functionality to existing open source projects, and creating new open source initiatives (under the Apache Software Foundation banner) whenever they can’t find an open source tool that sufficiently meets their needs. The pace of innovation is something that NO monolithic application will EVER be able to match! And that’s a fact, Jack!
• Many organizations are hiring a Chief Data Officer (CDO), which is a great start. Unfortunately, many of these organizations are hiring the wrong person and putting them in the wrong role (sorry, but a small lecture coming). Many organizations are hiring CDO’s that look and perform like a CIO. Hey, we’ve already got a CIO.  Instead, what we really need is a “Chief Data Monetization Officer” whose role is to drive and derive business value out of the organization’s growing bounty of data. In fact, in some leading organizations, the CIO actually reports to the CDO. Now that’s really embracing the power of data! See the blog “Chief Data Officer: The True Dean of Big Data?” for more details on the upgraded CDO role.
• Understanding the difference and complementary natures of Business Intelligence (BI) and Data Science. Business Intelligence cannot be “extended” to include data science, and data science does not replace Business Intelligence. They are separate disciplines and must be treated as distinct and different entities. BI provides operational, management and compliance reporting on what has happened, which is the foundation for any data-centric organization. Data Science leverages the growing wealth of internal and external data to try to predict what is likely to happen, and prescribe what actions to take (see Figure 2).

Figure 2:  Differences Between Business Intelligence and Data Science

See the blog “Dynamic Duo of Analytic Power: Business Intelligence Analyst PLUS Data Scientist” for more on the differences between Business Intelligence and Data Science.

• BI Analysts and data scientists alike are embracing the power of a schema-less data management environment. It’s really hard for us data warehouse people (who were taught to think schema first) to transition to a world where we just load the data into Hadoop regardless of how the data is structured. Semi-structured, unstructured, video, text, photos, images, audio, log files…you just don’t care. Understanding and embracing the power of “schema on query” versus “schema on load” truly is game changing, especially if you want to do some serious data science predictive and prescriptive analytics. See the blog “Hadoop Data Modeling Lessons – by Vin Diesel” for more about the ramifications of data modeling within a big data environment.
• If everyone has access to the same open source software, then where is the point of differentiation? Well, the differentiation is NOT in having the open source software, but is instead in how the open source software is being used to drive and derive business value. Organizations are realizing that this conversation must start with the business. The “Democratization of Big Data” means that just having deeper pockets is no longer enough; that even small organizations with a tight business focus can have impressive success (see the blog “Heart of the Data Science Revolution… Mankato, MN?”).
• Finally, I’m seeing more and more organizations discussing how to “monetize their data.” However, we need to shift the monetization conversation away from the “value in exchange” discussion to the “value in use” application. Understanding the true economic value of data is a game changer, and will change how organizations optimize their technology and business investments (see Figure 3).

Figure 3:  Creating a Collaborative Value Creation Platform

Check out my recent University of San Francisco research paper on the “Economic Value of Data”.

Ultimately, your big data success is dependent upon your ability to answer these 5 key questions:

1. How effective is your organization at leveraging data and analytics to power your business models?
2. Do you understand your organization’s key business initiatives and how they would benefit from big data?
3. Do you have business stakeholder active participation in setting your use case roadmap?
4. Do you understand the economic value of your data and how that affects your technology and business investments?
5. Do you understand how to create a platform that exploits the economic value of your data?

Now I hope we’re really talking, and not just lecturing at each other!

The post Is a Big Data Conference Like Going to the Dentist? appeared first on InFocus Blog | Dell EMC Services.

With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.

Track 1. Enterprise Cloud | Cloud-Native
Track 2. Big Data | Analytics
Track 3. Internet of Things | IIoT | Smart Cities
Track 4. DevOps | Digital Transformation (DX)
Track 5. APIs | Cloud Security | Mobility
Track 6. AI | ML | DL | Cognitive
Track 7. Containers | Microservices | Serverless
Track 8. FinTech | InsurTech | Token Economy

Cloud Expo | @ThingsExpo 2017 Silicon Valley
(October 31 - November 2, 2017, Santa Clara Convention Center, CA)

Cloud Expo | @ThingsExpo 2018 New York 
(June 12-14, 2018, Javits Center, Manhattan)

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Every Global 2000 enterprise in the world is now integrating cloud computing in some form into its IT development and operations. Midsize and small businesses are also migrating to the cloud in increasing numbers.  

Companies are each developing their unique mix of cloud technologies and services, forming multi-cloud and hybrid cloud architectures and deployments across all major industries. Cloud-driven thinking has become the norm in financial services, manufacturing, telco, healthcare, transportation, energy, media, entertainment, retail and other consumer industries, and the public sector.

Cloud Expo is the single show where technology buyers and vendors can meet to experience and discus cloud computing and all that it entails. Sponsors of Cloud Expo will benefit from unmatched branding, profile building and lead generation opportunities through:

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For more information on sponsorship, exhibit, and keynote opportunities, contact Carmen Gonzalez by email at events (at) sys-con.com, or by phone 201 802-3021.

The World's Largest "Cloud Digital Transformation" Event

@CloudExpo | @ThingsExpo 2017 Silicon Valley
(Oct. 31 - Nov. 2, 2017, Santa Clara Convention Center, CA)

@CloudExpo | @ThingsExpo 2018 New York 
(June 12-14, 2018, Javits Center, Manhattan)

Full Conference Registration Gold Pass and Exhibit Hall ▸ Here

Register For @CloudExpo ▸ Here via EventBrite

Register For @ThingsExpo ▸ Here via EventBrite

Register For @DevOpsSummit ▸ Here via EventBrite

Sponsorship Opportunities

Sponsors of Cloud Expo | @ThingsExpo will benefit from unmatched branding, profile building and lead generation opportunities through:

• Featured on-site presentation and ongoing on-demand webcast exposure to a captive audience of industry decision-makers
• Showcase exhibition during our new extended dedicated expo hours
• Breakout Session Priority scheduling for Sponsors that have been guaranteed a 35 minute technical session
• Online targeted advertising in SYS-CON's i-Technology Publications
• Capitalize on our Comprehensive Marketing efforts leading up to the show with print mailings, e-newsletters and extensive online media coverage
• Unprecedented Marketing Coverage: Editorial Coverage on ITweetup to over 100,000 plus followers, press releases sent on major wire services to over 500 industry analysts

For more information on sponsorship, exhibit, and keynote opportunities, contact Carmen Gonzalez (@GonzalezCarmen) today by email at events (at) sys-con.com, or by phone 201 802-3021.

Secrets of Sponsors and Exhibitors ▸ Here
Secrets of Cloud Expo Speakers ▸ Here

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 Cloud strategies, now is the perfect time to attend @CloudExpo | @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.

Delegates to Cloud Expo | @ThingsExpo will be able to attend 8 simultaneous, information-packed education tracks.

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

Join Cloud Expo | @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and 'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets.

Financial Technology - or FinTech - Is Now Part of the @CloudExpo Program!

Accordingly, attendees at the upcoming 21st Cloud Expo | @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.

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@CloudExpo is accepting submissions for this new track, so please visit www.CloudComputingExpo.com for the latest information.

Speaking Opportunities

The upcoming 21st International @CloudExpo | @ThingsExpo, October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY announces that its Call For Papers for speaking opportunities is open.

Submit your speaking proposal today! ▸ Here

About SYS-CON Media & Events
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