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Meeting Details - 2014


February 11, 2014

Title: The Big Data Mythology


Big or small, structured or unstructured, for data to be meaningful and usable in today’s massive and complex enterprises, the means to assure that the data’s consistency and interoperability is required. Increased size and complexity along with reduced structural definition of data associated with Big Data initiatives aggravate the problem.

Much has been written and discussed about the many V’s (Volume, Velocity, Variety…) of Big Data. The discussions have taken on an almost mythological quality.  We will look at two of the aspects of the BD-V’s of Variety and Value. Taking a business Value perspective we will look at the Big Data Varieties that are text centric; Human Generated, Big Transactional Data and Web/Social Media.  In this session we will examine the “unclassified” rather than “unstructured” nature of Big Data. We will introduce the Sandhill approach to practices and technologies to classify and integrate Big Data into traditional data management and data delivery processes.

Dare we say Myth…

Presenter:  Donald J. Soulsby

Mr. Soulsby is an Enterprise Architecture Practices Leader with Sandhill Consultants. His practice areas include strategic and technical architectures for information management, metadata management, and data warehousing. Mr. Soulsby has held senior professional services and product management positions with large multi-national corporations and software development organizations.


March 12, 2014

Title: The Un-sung Hero of Big Data


Big data has been the talk of the analytics world for quite a while and shows no sign of slowing down. The promise of analyzing all relevant information, regardless of source, is an incredibly appealing idea. But despite all the buzz and interest, very few big data implementations have moved beyond the core Hadoop use cases of Web analytics, ad click analysis and failure prediction. This limited perspective has a lot to do with the fact that all big data has typically been lumped under the label of unstructured data, thus limiting its potential.

Has this stereotype impacted adoption?

Yes. Putting all types of information - including that which is not traditionally structured data - under a single label makes it difficult for companies to take a more nuanced view of their data landscape. This is a core requirement to understanding what technologies to bring to bear and, more importantly, understanding what data sources will provide the biggest bang for your big data buck.

When companies start to compare the business value of also investing in big content versus just big data, they start to realize that big content is, in many cases, the most important aspect from a value standpoint - an "unsung hero," if you will.


To register, please click on this link:
Registration URL: [click here]
Webinar ID: 132-155-715

You will receive a confirmation email with the login details

Presenter:  Reid Craig VP, PaaS, Attivio

Reid Craig is Vice President of PaaS (Platform-as-a-Service), responsible for product strategy, go-to-market strategy, and customer success. He began as a software engineer in Attivio’s R&D organization before moving over to the “Dark Side” to become Attivio’s first sales engineer. Over the next few years Reid had the opportunity to shape and grow what would become Attivio’s Solutions organization.

Reid has more than 15 years of experience in software, having held positions in all stages of the Software Development Life Cycle and all possible client-facing technical roles – client services, business analysis, QA, development, support, delivery, architecture, sales and consulting.


May 14, 2014

Title: Big Data Use Cases


To date, most Big Data and Hadoop use cases have focused on ETL and batch analytics.  However, there is a new class of Big Data use cases emerging - powering real-time applications and analytics. 

What do we mean by real-time?  We mean real-time, interactive queries on data updated in real-time.  This is usually the realm of traditional databases such as Oracle and MySQL, but they lack the ability to scale-out on commodity hardware, which is the hallmark of Big Data technologies.

Now RDBMS technology is being married to scale-out technology of Hadoop.  This enables a whole new class of real-time Big Data use cases.  We will discuss real-world uses cases in digital marketing, ad tech, and telecom industries. 

For instance, we will discuss a marketing services provider that uses IBM Unica software to execute real-time campaigns for major retail brands such as Sephora and Petsmart.  They were experiencing cost and scaling issues with one of their 20TB Oracle RAC databases.  When they replaced their Oracle RAC database with a Hadoop-based RDBMS, they saw queries speed up by 3x-7x, while costs dropped by about 4x.


Wednesday, May 14, 2014 11:00 AM - 12:00 PM PDT

Registration URL: [click here]

Webinar ID: 116-350-971

Presenter: Monte Zweben

Monte Zweben is the Co-Founder and Chief Executive Officer, Splicemachine.  A technology industry veteran, Monte’s early career was spent with the NASA Ames Research Center as the Deputy Branch Chief of the Artificial Intelligence Branch, where he won the prestigious Space Act Award for his work on the Space Shuttle program. Monte then founded and was the Chairman and CEO of Red Pepper Software, a leading supply chain optimization company, which merged in 1996 with PeopleSoft, where he was VP and General Manager, Manufacturing Business Unit.

In 1998, Monte was the founder and CEO of Blue Martini Software – the leader in e-commerce and multi-channel systems for retailers. Blue Martini went public on NASDAQ in one of the most successful IPOs of 2000, and is now part of Red Prairie. Following Blue Martini, he was the chairman of SeeSaw Networks.


June 11, 2014

Title: Non-Invasive Data Governance


A few points that should be considered regarding Non-Invasive Data Governance™:

Many organizations view Data Governance as being over-and-above normal work efforts and threatening to the existing work culture of the organization. It does not have to be that way.

Many organizations have a difficult time getting people to adopt Data Governance best practices because of a common belief that Data Governance is about command-and-control. It does not have to be that way.

While Bob Seiner firmly states that "Data Governance is the execution and enforcement of authority over the management of data”, nowhere in that definition does it say that Data Governance has to be invasive or threatening to the work, people and culture of the organization. It does not have to be that way.

This SF DAMA webinar presentation on Non-Invasive Data Governance™, the approach taught and implemented by Robert S. Seiner of KIK Consulting & TDAN.com, focuses on formalizing existing accountability for the management of data and improving formal communications, value and quality efforts through effective cross-organization stewarding of data resources.

Presenter:  Robert S. Seiner

Robert S. Seiner is the President and Principal of KIK Consulting & Educational Services (KIKConsulting.com) and the Publisher of The Data Administration Newsletter (TDAN.com). Bob was recently awarded the DAMA Professional Award for significant and demonstrable contributions to the data management industry. Bob specializes in Non-Invasive Data Governance™, data stewardship, and meta-data management solutions.


July 10, 2014

Title: Data Integration Challenges With the Cloud


It’s no longer a question of if organizations will be adopting cloud-based solutions, but when and how many. Gartner predicts worldwide software-as-a-service (SaaS) application revenue will reach $22.1 billion by 2015. With the proliferation of cloud-based applications, platforms and infrastructure, the potential for data fragmentation and disconnected data silos has grown exponentially. While the benefits of cloud computing have been well documented – scalability, agility, security and cost are usually at the top of the list, from the outset, the push to adopt SaaS applications in the enterprise have come from the business units or the higher ranks within an organization.

With the attraction of faster deployments, and the potential to not have to get in line for limited IT resources, how are you going to ensure that your data integration and cloud strategies are a lightning rod for organizational improvement and not a data disaster waiting in the wings? In this session we’ll discuss some of the specific dynamics and challenges that Cloud brings to data integration and review some of the emerging architectural patters that are starting to emerge. We’ll also review a couple of customer case studies to see how some companies are embracing this challenge head on.

Presenter:  Ron Lunasin

Our speaker, Ron Lunasin is Sr. Director of Cloud Platform Adoption for Informatica Corp. and is an 18 year veteran of the company. He has held various roles at Informatica from software engineer to internal IT data warehouse manager to product manager for Informatica’s flagship on-premise product PowerCenter to then becoming one of the founding members of Informatica’s Cloud business unit.


August 13, 2014


Why Digital Firms Consider Data In Motion Crucial To Their Information Management Strategy


Most firms are either already Digital today, or are undergoing transformation to become significantly more Digital. Physical products and services persist but are increasingly imbued with digital qualities, from cars, to homes, to self-service for everything from retail to healthcare. The winners of the digital race understand how important data is to their success — and most of that data is in motion, animating their Digital Business. That’s why it’s crucial that data management professionals understand the role of data-in-motion in current and future architectures, and learn how to adapt practices for modeling, governance, and information management to embrace the future and win the race. Attend this webinar to learn:

  • How customer experience trends are driving digital transformation and inundating firms in massive amounts of data that is a source of deep insights and new revenue.
  • How leading firms manage data-in-motion as part of their new architecture stack for delivering “modern applications” that are OmniChannel, smart, cloud-friendly, and API-centric.
  • Why data management professionals are moving to embrace not only data-in-motion, but also Big Data, the API Economy, and cloud architectures to stay relevant in today’s world.

Presenter:  Mike Gilpin

Mike Gilpin, Chief Customer Officer of digitalML: Mike is responsible for helping customers achieve maximum success in managing data-in-motion and in delivery of their SOA and API service portfolio, and is also part of the executive team leading product delivery.

Prior to joining digitalML, Mike was a VP and Research Director at Forrester Research. In his 15-year career at Forrester, Mike led a team of analysts focused on application development, data management, and architecture, and did research on application development, data and application integration, APIs, and middleware.

Before Forrester, Mike spent 10 years as an executive in the development tools business, prior to which he spent 10 years in IT in positions including project manager, systems analyst, data analyst, DBA, and senior programmer.

Mike has been quoted in publications including Computerworld, eWEEK, InformationWeek, the Financial Times, The New York Times, and The Wall Street Journal. Mike earned a B.A. in physics from Rice University.



November 12, 2014

Title: The Impact of SMACT on the Data Management Stack


Social. Mobile. Analytics and Big Data. Cloud Computing. The Internet of Things. What a disruptive and innovative time it is the world of data. 


  • Social - Facebook ingests 500X more data than the New York Stock Exchange each day.

  • Mobile - By 2017, 50% of employers will require employees to use their own devices at work.

  • Analytics - By 2020, the global Hadoop market is estimated to reach $50.2B.

  • Cloud - 80% of line of business employees admit to using non-approved cloud applications in their jobs.

  • IoT - By 2020 there will be over 30 billion connected things. 

Are you ready?

This session will introduce the concept of the "Integrator's Dilemma" and review some of the challenges faced by traditional data and application integration technologies when it comes to keeping up with the new enterprise data, application and API connectivity and management requirements. We'll review the landscape and share examples of the steps more and more IT organizations are taking to improve business alignment through faster access to trusted data.

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